python基础系列教程——python所有包库的下载

下载地址:https://pypi.python.org/pypi?%3Aaction=browse
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  1. Index by date:
  2. multidict
  3. pymatgen
  4. moderngl
  5. jupyter
  6. bokeh
  7. scikit-umfpack
  8. matplotlib
  9. scikit-image
  10. lxml
  11. pandas
  12. pyrsistent
  13. rasterio
  14. psutil
  15. gensim
  16. pillow
  17. peewee
  18. cffi
  19. pillow-simd
  20. cobra
  21. gpy
  22. openpiv
  23. chaco
  24. enable
  25. indexed_gzip
  26. spglib
  27. yarl
  28. mod_wsgi
  29. dulwich
  30. mercurial
  31. cython
  32. tifffile
  33. numpy
  34. orange
  35. scandir
  36. ode
  37. openexr
  38. discretize
  39. scipy
  40. pypmc
  41. chainer
  42. netcdf4
  43. regex
  44. twisted
  45. zodbpickle
  46. zope.interface
  47. fiona
  48. gdal
  49. brotli
  50. psycopg
  51. javabridge
  52. sfepy
  53. pyopengl
  54. fastcache
  55. bsddb3
  56. ruamel.yaml
  57. python-ldap
  58. faulthandler
  59. debug-information-files
  60. pymol
  61. babel
  62. czifile
  63. numexpr
  64. mkl-service
  65. spyder
  66. astropy
  67. kiwisolver
  68. numba
  69. llvmlite
  70. sqlalchemy
  71. scs
  72. veusz
  73. scikit-learn
  74. mysqlclient
  75. shapely
  76. vtk
  77. h5py
  78. cx_oracle
  79. fabio
  80. fastparquet
  81. spectrum
  82. tornado
  83. chompack
  84. mpi4py
  85. pycairo
  86. pymongo
  87. minepy
  88. cvxpy
  89. fastcluster
  90. pywin32
  91. tensorflow
  92. quantlib
  93. wrapt
  94. yt
  95. pycuda
  96. wordcloud
  97. gr
  98. opencv
  99. fisx
  100. gvar
  101. ad3
  102. aiohttp
  103. pulp
  104. entropy
  105. qutip
  106. sympy
  107. pygresql
  108. pylzma
  109. spacy
  110. pycares
  111. pyemd
  112. py-lmdb
  113. logbook
  114. mayavi
  115. sounddevice
  116. pyamg
  117. tatsu
  118. biopython
  119. pygit2
  120. zipline
  121. pyopencl
  122. cchardet
  123. python-lz4
  124. pyldap
  125. pyodbc
  126. simplejson
  127. pyarrow
  128. pyflux
  129. pycurl
  130. scikit-misc
  131. enaml
  132. atom
  133. gevent
  134. pycorrfit
  135. pyside
  136. netifaces
  137. vitables
  138. fdint
  139. rpy2
  140. hyperspy
  141. udunits
  142. iris
  143. kwant
  144. cx_freeze
  145. simpleitk
  146. vigra
  147. recordclass
  148. bottleneck
  149. libsvm
  150. liblinear
  151. coverage
  152. tinyarray
  153. pytables
  154. grako
  155. kivy
  156. menpo
  157. lazy_object_proxy
  158. pyfmi
  159. basemap
  160. python-snappy
  161. pyicu
  162. pyjnius
  163. imaged11
  164. python-cjson
  165. triangle
  166. param
  167. meshpy
  168. pymvpa
  169. persistent
  170. thriftpy
  171. jcc
  172. lsqfit
  173. marisa-trie
  174. pyaudio
  175. trollius
  176. lru_dict
  177. zs
  178. pyfits
  179. py_gd
  180. mistune
  181. pgmagick
  182. liblas
  183. cartopy
  184. pythonnet
  185. blosc
  186. pywavelets
  187. cantera
  188. cairocffi
  189. boost.python
  190. scikit-fmm
  191. pymcubes
  192. salientdetect
  193. reportlab
  194. markupsafe
  195. openbabel
  196. imread
  197. pygame
  198. xxhash
  199. pyqpbo
  200. pystruct
  201. pycld2
  202. pycifrw
  203. obspy
  204. holopy
  205. freeimagedll
  206. x86cpu
  207. fasttext
  208. scikits.odes
  209. transformations
  210. hddm
  211. nipy
  212. backports.lzma
  213. statsmodels
  214. qimage2ndarray
  215. guiqwt
  216. qt_graph_helpers
  217. pyqwt
  218. pyqt4
  219. bcolz
  220. pyproj
  221. multiprocess
  222. greenlet
  223. openimageio
  224. ets
  225. zarr
  226. btrees
  227. iminuit
  228. apsw
  229. thrift
  230. mahotas
  231. jpype
  232. lp_solve
  233. libtfr
  234. pyswisseph
  235. rtree
  236. nitime
  237. cytoolz
  238. pybox2d
  239. lfdfiles
  240. mathutils
  241. pyeda
  242. cvxopt
  243. pocketsphinx
  244. simpleaudio
  245. libsbml
  246. cvxcanon
  247. pyvrml97
  248. ta-lib
  249. pythonmagick
  250. pyzmq
  251. ujson
  252. yappi
  253. pyfltk
  254. pyfftw
  255. pyviennacl
  256. pyx
  257. pyephem
  258. planar
  259. akima
  260. vidsrc
  261. chebyfit
  262. psf
  263. fann2
  264. fisher
  265. ffnet
  266. autopy
  267. slycot
  268. sparsesvd
  269. ecos
  270. sasl
  271. twainmodule
  272. datrie
  273. cyordereddict
  274. cdecimal
  275. blz
  276. bigfloat
  277. aspell-python
  278. simpleparse
  279. milk
  280. llist
  281. setproctitle
  282. hmmlearn
  283. seqlearn
  284. jsonlib
  285. rtmidi-python
  286. heatmap
  287. scikits.vectorplot
  288. multineat
  289. py-earth
  290. mlpy
  291. pyminuit
  292. pymetis
  293. python-lzo
  294. python-levenshtein
  295. pystemmer
  296. ceodbc
  297. pymc
  298. pyhdf
  299. pydde
  300. pycluster
  301. polygon
  302. cyassimp
  303. cyrasterize
  304. crc16
  305. crcmod
  306. bsdiff4
  307. blist
  308. bitarray
  309. assimulo
  310. xgboost
  311. flann
  312. winrandom
  313. pyhook
  314. pyspharm
  315. pyrxp
  316. natgrid
  317. noise
  318. nlopt
  319. pip
  320. sima
  321. pymca
  322. friture
  323. pycogent
  324. lightning
  325. traits
  326. line_profiler
  327. videocapture
  328. curses
  329. intbitset
  330. pycosat
  331. gmpy
  332. pymssql
  333. pyyaml
  334. msgpack
  335. pysqlite
  336. blaze
  337. cellprofiler
  338. scikits.audiolab
  339. la
  340. vlfd
  341. dipy
  342. bazaar
  343. dynd
  344. genshi
  345. python-sundials
  346. glumpy
  347. pyamf
  348. libxml-python
  349. cellcognition
  350. pymcmc
  351. pyksvd
  352. python-igraph
  353. pyglet
  354. pybluez
  355. pygraphviz
  356. mxbase
  357. libpython
  358. re2
  359. pymunk
  360. pygtk
  361. cgal-bindings
  362. bio_formats
  363. pysfml
  364. pyexiv2
  365. pylibdeconv
  366. iocbio
  367. pymix
  368. umysql
  369. lazyflow
  370. mmlib
  371. cheetah
  372. scikits.timeseries
  373. casuarius
  374. wxpython
  375. ilastik
  376. quickfix
  377. pywcs
  378. scientificpython
  379. vpython
  380. nmoldyn
  381. mmtk
  382. pyalembic
  383. polymode
  384. scikits.delaunay
  385. cld
  386. py-fcm
  387. oursql
  388. zfec
  389. py2exe
  390. pymutt
  391. carray
  392. llvmpy
  393. cgkit
  394. pymedia
  395. scipy-cluster
  396. scikits.scattpy
  397. scikits.samplerate
  398. scikits.ann
  399. pyxml
  400. pytst
  401. delny
  402. mysql-python
  403. htseq
  404. pyusb-ftdi
  405. silvercity
  406. steps
  407. pylibtiff
  408. pysparse
  409. pyropes
  410. scikits.hydroclimpy
  411. sendkeys
  412. pydbg
  413. pyisapie

  •  
  • AD3, Alternating Directions Dual Decomposition.
    • ad3‑2.1‑cp27‑cp27m‑win32.whl
    • ad3‑2.1‑cp27‑cp27m‑win_amd64.whl
    • ad3‑2.1‑cp34‑cp34m‑win32.whl
    • ad3‑2.1‑cp34‑cp34m‑win_amd64.whl
    • ad3‑2.1‑cp35‑cp35m‑win32.whl
    • ad3‑2.1‑cp35‑cp35m‑win_amd64.whl
    • ad3‑2.1‑cp36‑cp36m‑win32.whl
    • ad3‑2.1‑cp36‑cp36m‑win_amd64.whl
  • Aiohttp, a http client/server for asyncio.
    • aiohttp‑2.2.5‑cp34‑cp34m‑win32.whl
    • aiohttp‑2.2.5‑cp34‑cp34m‑win_amd64.whl
    • aiohttp‑2.2.5‑cp35‑cp35m‑win32.whl
    • aiohttp‑2.2.5‑cp35‑cp35m‑win_amd64.whl
    • aiohttp‑2.2.5‑cp36‑cp36m‑win32.whl
    • aiohttp‑2.2.5‑cp36‑cp36m‑win_amd64.whl
  • Akima, interpolation of data points in a plane based on Akima's method.
    • akima‑2015.1.29‑cp27‑none‑win32.whl
    • akima‑2015.1.29‑cp27‑none‑win_amd64.whl
    • akima‑2015.1.29‑cp34‑none‑win32.whl
    • akima‑2015.1.29‑cp34‑none‑win_amd64.whl
    • akima‑2015.1.29‑cp35‑none‑win32.whl
    • akima‑2015.1.29‑cp35‑none‑win_amd64.whl
    • akima‑2015.1.29‑cp36‑cp36m‑win32.whl
    • akima‑2015.1.29‑cp36‑cp36m‑win_amd64.whl
  • APSW, another PythonSQLite wrapper.
    • apsw‑3.16.2.post1‑cp27‑cp27m‑win32.whl
    • apsw‑3.16.2.post1‑cp27‑cp27m‑win_amd64.whl
    • apsw‑3.16.2.post1‑cp34‑cp34m‑win32.whl
    • apsw‑3.16.2.post1‑cp34‑cp34m‑win_amd64.whl
    • apsw‑3.16.2.post1‑cp35‑cp35m‑win32.whl
    • apsw‑3.16.2.post1‑cp35‑cp35m‑win_amd64.whl
    • apsw‑3.16.2.post1‑cp36‑cp36m‑win32.whl
    • apsw‑3.16.2.post1‑cp36‑cp36m‑win_amd64.whl
  • Aspell-python bindings forGNU Aspell.
    Using the LyX fork.
    • aspell_python‑1.15‑cp27‑cp27m‑win32.whl
    • aspell_python‑1.15‑cp27‑cp27m‑win_amd64.whl
    • aspell_python‑1.15‑cp34‑cp34m‑win32.whl
    • aspell_python‑1.15‑cp34‑cp34m‑win_amd64.whl
    • aspell_python‑1.15‑cp35‑cp35m‑win32.whl
    • aspell_python‑1.15‑cp35‑cp35m‑win_amd64.whl
    • aspell_python‑1.15‑cp36‑cp36m‑win32.whl
    • aspell_python‑1.15‑cp36‑cp36m‑win_amd64.whl
  • Assimulo, a package for solving ordinary differential equations.
    Requires numpy+mkl.
    • Assimulo‑2.9‑cp27‑cp27m‑win32.whl
    • Assimulo‑2.9‑cp27‑cp27m‑win_amd64.whl
    • Assimulo‑2.9‑cp34‑cp34m‑win32.whl
    • Assimulo‑2.9‑cp34‑cp34m‑win_amd64.whl
    • Assimulo‑2.9‑cp35‑cp35m‑win32.whl
    • Assimulo‑2.9‑cp35‑cp35m‑win_amd64.whl
    • Assimulo‑2.9‑cp36‑cp36m‑win32.whl
    • Assimulo‑2.9‑cp36‑cp36m‑win_amd64.whl
  • Astropy, a core package for astronomy.
    • astropy‑2.0.2‑cp27‑cp27m‑win32.whl
    • astropy‑2.0.2‑cp27‑cp27m‑win_amd64.whl
    • astropy‑2.0.2‑cp34‑cp34m‑win32.whl
    • astropy‑2.0.2‑cp34‑cp34m‑win_amd64.whl
    • astropy‑2.0.2‑cp35‑cp35m‑win32.whl
    • astropy‑2.0.2‑cp35‑cp35m‑win_amd64.whl
    • astropy‑2.0.2‑cp36‑cp36m‑win32.whl
    • astropy‑2.0.2‑cp36‑cp36m‑win_amd64.whl
  • Atom, memory efficient Python objects.
    This package conflicts with Google's gdata.
    • atom‑0.3.10‑cp27‑none‑win32.whl
    • atom‑0.3.10‑cp27‑none‑win_amd64.whl
    • atom‑0.3.11‑cp34‑cp34m‑win32.whl
    • atom‑0.3.11‑cp34‑cp34m‑win_amd64.whl
    • atom‑0.3.11‑cp35‑cp35m‑win32.whl
    • atom‑0.3.11‑cp35‑cp35m‑win_amd64.whl
    • atom‑0.3.11‑cp36‑cp36m‑win32.whl
    • atom‑0.3.11‑cp36‑cp36m‑win_amd64.whl
  • AutoPy, a GUI automation toolkit.
    • autopy‑0.51‑cp27‑cp27m‑win32.whl
    • autopy‑0.51‑cp27‑cp27m‑win_amd64.whl
    • autopy3‑0.51.1‑cp34‑cp34m‑win32.whl
    • autopy3‑0.51.1‑cp34‑cp34m‑win_amd64.whl
    • autopy3‑0.51.1‑cp35‑cp35m‑win32.whl
    • autopy3‑0.51.1‑cp35‑cp35m‑win_amd64.whl
    • autopy3‑0.51.1‑cp36‑cp36m‑win32.whl
    • autopy3‑0.51.1‑cp36‑cp36m‑win_amd64.whl
  • Babel, tools for internationalizing Python applications.
    • Babel‑2.4.0‑py2‑none‑any.whl
    • Babel‑2.4.0‑py3‑none‑any.whl
    • Babel‑2.5.1‑py2‑none‑any.whl
    • Babel‑2.5.1‑py3‑none‑any.whl
  • Backports.lzma, a backport of Python 3.3's lzma module.
    • backports.lzma‑0.0.8‑cp27‑cp27m‑win32.whl
    • backports.lzma‑0.0.8‑cp27‑cp27m‑win_amd64.whl
    • backports.lzma‑0.0.8‑cp34‑cp34m‑win32.whl
    • backports.lzma‑0.0.8‑cp34‑cp34m‑win_amd64.whl
    • backports.lzma‑0.0.8‑cp35‑cp35m‑win32.whl
    • backports.lzma‑0.0.8‑cp35‑cp35m‑win_amd64.whl
    • backports.lzma‑0.0.8‑cp36‑cp36m‑win32.whl
    • backports.lzma‑0.0.8‑cp36‑cp36m‑win_amd64.whl
  • Basemap, a matplotlib toolkit for plotting 2D data on maps based onGEOS.
    Requires pyproj.
    • basemap‑1.1.0‑cp27‑cp27m‑win32.whl
    • basemap‑1.1.0‑cp27‑cp27m‑win_amd64.whl
    • basemap‑1.1.0‑cp34‑cp34m‑win32.whl
    • basemap‑1.1.0‑cp34‑cp34m‑win_amd64.whl
    • basemap‑1.1.0‑cp35‑cp35m‑win32.whl
    • basemap‑1.1.0‑cp35‑cp35m‑win_amd64.whl
    • basemap‑1.1.0‑cp36‑cp36m‑win32.whl
    • basemap‑1.1.0‑cp36‑cp36m‑win_amd64.whl
  • Bazaar, a version control system.
    • bzr‑2.7.0‑cp27‑cp27m‑win32.whl
    • bzr‑2.7.0‑cp27‑cp27m‑win_amd64.whl
  • Bcolz provides columnar and compressed data containers.
    • bcolz‑1.1.2‑cp27‑cp27m‑win32.whl
    • bcolz‑1.1.2‑cp27‑cp27m‑win_amd64.whl
    • bcolz‑1.1.2‑cp34‑cp34m‑win32.whl
    • bcolz‑1.1.2‑cp34‑cp34m‑win_amd64.whl
    • bcolz‑1.1.2‑cp35‑cp35m‑win32.whl
    • bcolz‑1.1.2‑cp35‑cp35m‑win_amd64.whl
    • bcolz‑1.1.2‑cp36‑cp36m‑win32.whl
    • bcolz‑1.1.2‑cp36‑cp36m‑win_amd64.whl
  • Bigfloat, arbitrary precision correctly-rounded floating point arithmetic, via MPFR.
    Superseded by gmpy2.
    • bigfloat‑0.3.0‑cp27‑cp27m‑win32.whl
    • bigfloat‑0.3.0‑cp27‑cp27m‑win_amd64.whl
    • bigfloat‑0.3.0‑cp34‑cp34m‑win32.whl
    • bigfloat‑0.3.0‑cp34‑cp34m‑win_amd64.whl
    • bigfloat‑0.3.0‑cp35‑cp35m‑win32.whl
    • bigfloat‑0.3.0‑cp35‑cp35m‑win_amd64.whl
    • bigfloat‑0.3.0‑cp36‑cp36m‑win32.whl
    • bigfloat‑0.3.0‑cp36‑cp36m‑win_amd64.whl
  • Bio_formats (experimental), a JCC generated wrapper for theBio-Formats andSCIFIO Java libraries.
    Requires Java SE 8 and JVM.DLL in the PATH.
    • bio_formats‑4.4.12+jdk8‑cp27‑none‑win32.whl
    • bio_formats‑4.4.12+jdk8‑cp27‑none‑win_amd64.whl
  • Biopython, a set of tools for biological computation.
    • biopython‑1.70‑cp27‑cp27m‑win32.whl
    • biopython‑1.70‑cp27‑cp27m‑win_amd64.whl
    • biopython‑1.70‑cp34‑cp34m‑win32.whl
    • biopython‑1.70‑cp34‑cp34m‑win_amd64.whl
    • biopython‑1.70‑cp35‑cp35m‑win32.whl
    • biopython‑1.70‑cp35‑cp35m‑win_amd64.whl
    • biopython‑1.70‑cp36‑cp36m‑win32.whl
    • biopython‑1.70‑cp36‑cp36m‑win_amd64.whl
  • Bitarray provides an object type which efficiently represents an array of booleans.
    • bitarray‑0.8.1‑cp27‑cp27m‑win32.whl
    • bitarray‑0.8.1‑cp27‑cp27m‑win_amd64.whl
    • bitarray‑0.8.1‑cp34‑cp34m‑win32.whl
    • bitarray‑0.8.1‑cp34‑cp34m‑win_amd64.whl
    • bitarray‑0.8.1‑cp35‑cp35m‑win32.whl
    • bitarray‑0.8.1‑cp35‑cp35m‑win_amd64.whl
    • bitarray‑0.8.1‑cp36‑cp36m‑win32.whl
    • bitarray‑0.8.1‑cp36‑cp36m‑win_amd64.whl
  • Blaze translates NumPy/Pandas-like syntax to systems like databases.
    • blaze‑0.10.1‑py2.py3‑none‑any.whl
    • datashape‑0.5.2‑py2.py3‑none‑any.whl
    • odo‑0.5.0‑py2.py3‑none‑any.whl
  • Blist, a list-like type with better performance for large lists.
    • blist‑1.3.6‑cp27‑cp27m‑win32.whl
    • blist‑1.3.6‑cp27‑cp27m‑win_amd64.whl
    • blist‑1.3.6‑cp34‑cp34m‑win32.whl
    • blist‑1.3.6‑cp34‑cp34m‑win_amd64.whl
    • blist‑1.3.6‑cp35‑cp35m‑win32.whl
    • blist‑1.3.6‑cp35‑cp35m‑win_amd64.whl
    • blist‑1.3.6‑cp36‑cp36m‑win32.whl
    • blist‑1.3.6‑cp36‑cp36m‑win_amd64.whl
  • Blosc, a high performance compressor optimized for binary data.
    • blosc‑1.5.1‑cp27‑cp27m‑win32.whl
    • blosc‑1.5.1‑cp27‑cp27m‑win_amd64.whl
    • blosc‑1.5.1‑cp34‑cp34m‑win32.whl
    • blosc‑1.5.1‑cp34‑cp34m‑win_amd64.whl
    • blosc‑1.5.1‑cp35‑cp35m‑win32.whl
    • blosc‑1.5.1‑cp35‑cp35m‑win_amd64.whl
    • blosc‑1.5.1‑cp36‑cp36m‑win32.whl
    • blosc‑1.5.1‑cp36‑cp36m‑win_amd64.whl
  • Blz, a chunked, compressed, data container (for memory and disk).
    • blz‑0.6.2‑cp27‑cp27m‑win32.whl
    • blz‑0.6.2‑cp27‑cp27m‑win_amd64.whl
    • blz‑0.6.2‑cp34‑cp34m‑win32.whl
    • blz‑0.6.2‑cp34‑cp34m‑win_amd64.whl
    • blz‑0.6.2‑cp35‑cp35m‑win32.whl
    • blz‑0.6.2‑cp35‑cp35m‑win_amd64.whl
    • blz‑0.6.2‑cp36‑cp36m‑win32.whl
    • blz‑0.6.2‑cp36‑cp36m‑win_amd64.whl
  • Bokeh, an implementation of the Grammar of Graphics for output to the HTML5 Canvas.
    Requires many dependencies.
    • bokeh‑0.12.10‑py2.py3‑none‑any.whl
  • Boost.Python enables seamless interoperability between C++ and Python.
    • boost_python‑1.63‑cp27‑cp27m‑win32.whl
    • boost_python‑1.63‑cp27‑cp27m‑win_amd64.whl
    • boost_python‑1.63‑cp34‑cp34m‑win32.whl
    • boost_python‑1.63‑cp34‑cp34m‑win_amd64.whl
    • boost_python‑1.63‑cp35‑cp35m‑win32.whl
    • boost_python‑1.63‑cp35‑cp35m‑win_amd64.whl
    • boost_python‑1.63‑cp36‑cp36m‑win32.whl
    • boost_python‑1.63‑cp36‑cp36m‑win_amd64.whl
  • Bottleneck provides fast NumPy array functions written in Cython.
    • Bottleneck‑1.2.1‑cp27‑cp27m‑win32.whl
    • Bottleneck‑1.2.1‑cp27‑cp27m‑win_amd64.whl
    • Bottleneck‑1.2.1‑cp34‑cp34m‑win32.whl
    • Bottleneck‑1.2.1‑cp34‑cp34m‑win_amd64.whl
    • Bottleneck‑1.2.1‑cp35‑cp35m‑win32.whl
    • Bottleneck‑1.2.1‑cp35‑cp35m‑win_amd64.whl
    • Bottleneck‑1.2.1‑cp36‑cp36m‑win32.whl
    • Bottleneck‑1.2.1‑cp36‑cp36m‑win_amd64.whl
  • Brotli, a lossless compression algorithm.
    • Brotli‑1.0.0‑cp27‑cp27m‑win32.whl
    • Brotli‑1.0.0‑cp27‑cp27m‑win_amd64.whl
    • Brotli‑1.0.0‑cp34‑cp34m‑win32.whl
    • Brotli‑1.0.0‑cp34‑cp34m‑win_amd64.whl
    • Brotli‑1.0.0‑cp35‑cp35m‑win32.whl
    • Brotli‑1.0.0‑cp35‑cp35m‑win_amd64.whl
    • Brotli‑1.0.0‑cp36‑cp36m‑win32.whl
    • Brotli‑1.0.0‑cp36‑cp36m‑win_amd64.whl
  • Bsddb3, bindings for theOracle Berkeley DB database. Linked to db-5.3.28.
    • bsddb3‑6.2.5‑cp27‑cp27m‑win32.whl
    • bsddb3‑6.2.5‑cp27‑cp27m‑win_amd64.whl
    • bsddb3‑6.2.5‑cp34‑cp34m‑win32.whl
    • bsddb3‑6.2.5‑cp34‑cp34m‑win_amd64.whl
    • bsddb3‑6.2.5‑cp35‑cp35m‑win32.whl
    • bsddb3‑6.2.5‑cp35‑cp35m‑win_amd64.whl
    • bsddb3‑6.2.5‑cp36‑cp36m‑win32.whl
    • bsddb3‑6.2.5‑cp36‑cp36m‑win_amd64.whl
  • Bsdiff4, binary diff and patch using the BSDIFF4-format.
    • bsdiff4‑1.1.4‑cp27‑cp27m‑win32.whl
    • bsdiff4‑1.1.4‑cp27‑cp27m‑win_amd64.whl
    • bsdiff4‑1.1.4‑cp34‑cp34m‑win32.whl
    • bsdiff4‑1.1.4‑cp34‑cp34m‑win_amd64.whl
    • bsdiff4‑1.1.4‑cp35‑cp35m‑win32.whl
    • bsdiff4‑1.1.4‑cp35‑cp35m‑win_amd64.whl
    • bsdiff4‑1.1.4‑cp36‑cp36m‑win32.whl
    • bsdiff4‑1.1.4‑cp36‑cp36m‑win_amd64.whl
  • BTrees, scalable persistent object containers.
    • BTrees‑4.4.1‑cp27‑cp27m‑win32.whl
    • BTrees‑4.4.1‑cp27‑cp27m‑win_amd64.whl
    • BTrees‑4.4.1‑cp34‑cp34m‑win32.whl
    • BTrees‑4.4.1‑cp34‑cp34m‑win_amd64.whl
    • BTrees‑4.4.1‑cp35‑cp35m‑win32.whl
    • BTrees‑4.4.1‑cp35‑cp35m‑win_amd64.whl
    • BTrees‑4.4.1‑cp36‑cp36m‑win32.whl
    • BTrees‑4.4.1‑cp36‑cp36m‑win_amd64.whl
  • Cairocffi, CFFI-based bindings for thecairo graphics library.
    GDK-PixBuf is not supported by this distribution.
    • cairocffi‑0.8.0‑cp27‑cp27m‑win32.whl
    • cairocffi‑0.8.0‑cp27‑cp27m‑win_amd64.whl
    • cairocffi‑0.8.0‑cp34‑cp34m‑win32.whl
    • cairocffi‑0.8.0‑cp34‑cp34m‑win_amd64.whl
    • cairocffi‑0.8.0‑cp35‑cp35m‑win32.whl
    • cairocffi‑0.8.0‑cp35‑cp35m‑win_amd64.whl
    • cairocffi‑0.8.0‑cp36‑cp36m‑win32.whl
    • cairocffi‑0.8.0‑cp36‑cp36m‑win_amd64.whl
  • Cantera, a tool suite for chemical kinetics, thermodynamics, and transport.
    Requires numpy+mkl.
    • Cantera‑2.2.1‑cp27‑cp27m‑win32.whl
    • Cantera‑2.2.1‑cp27‑cp27m‑win_amd64.whl
    • Cantera‑2.2.1‑cp34‑cp34m‑win32.whl
    • Cantera‑2.2.1‑cp34‑cp34m‑win_amd64.whl
    • Cantera‑2.3.0‑cp35‑cp35m‑win32.whl
    • Cantera‑2.3.0‑cp35‑cp35m‑win_amd64.whl
    • Cantera‑2.3.0‑cp36‑cp36m‑win32.whl
    • Cantera‑2.3.0‑cp36‑cp36m‑win_amd64.whl
  • Carray, a chunked data container that can be compressed in-memory.
    • carray‑0.5.1‑cp27‑none‑win32.whl
    • carray‑0.5.1‑cp27‑none‑win_amd64.whl
  • Cartopy, a library providing cartographic tools.
    • Cartopy‑0.15.1‑cp27‑cp27m‑win32.whl
    • Cartopy‑0.15.1‑cp27‑cp27m‑win_amd64.whl
    • Cartopy‑0.15.1‑cp34‑cp34m‑win32.whl
    • Cartopy‑0.15.1‑cp34‑cp34m‑win_amd64.whl
    • Cartopy‑0.15.1‑cp35‑cp35m‑win32.whl
    • Cartopy‑0.15.1‑cp35‑cp35m‑win_amd64.whl
    • Cartopy‑0.15.1‑cp36‑cp36m‑win32.whl
    • Cartopy‑0.15.1‑cp36‑cp36m‑win_amd64.whl
  • Casuarius, bindings for theCassowary constraint solving toolkit.
    • casuarius‑1.1‑cp27‑none‑win32.whl
    • casuarius‑1.1‑cp27‑none‑win_amd64.whl
  • cChardet, a universal character encoding detector - binding tolibcharsetdetect.
    • cchardet‑2.1.1‑cp27‑cp27m‑win32.whl
    • cchardet‑2.1.1‑cp27‑cp27m‑win_amd64.whl
    • cchardet‑2.1.1‑cp34‑cp34m‑win32.whl
    • cchardet‑2.1.1‑cp34‑cp34m‑win_amd64.whl
    • cchardet‑2.1.1‑cp35‑cp35m‑win32.whl
    • cchardet‑2.1.1‑cp35‑cp35m‑win_amd64.whl
    • cchardet‑2.1.1‑cp36‑cp36m‑win32.whl
    • cchardet‑2.1.1‑cp36‑cp36m‑win_amd64.whl
  • Cdecimal, a package for correctly-rounded arbitrary precision decimal floating point arithmetic.
    • cdecimal‑2.3‑cp27‑cp27m‑win32.whl
    • cdecimal‑2.3‑cp27‑cp27m‑win_amd64.whl
    • cdecimal‑2.3‑cp34‑cp34m‑win32.whl
    • cdecimal‑2.3‑cp34‑cp34m‑win_amd64.whl
    • cdecimal‑2.3‑cp35‑cp35m‑win32.whl
    • cdecimal‑2.3‑cp35‑cp35m‑win_amd64.whl
    • cdecimal‑2.3‑cp36‑cp36m‑win32.whl
    • cdecimal‑2.3‑cp36‑cp36m‑win_amd64.whl
  • CellCognition, an image analysis framework for fluorescence time-lapse microscopy.
    Requires numpy+mkl, scipy, matplotlib, pyqt4, libsvm, vigra, qimage2ndarray,h5py,pandas andscikit-learn.
    • CellCognition‑1.5.2‑cp27‑none‑win32.whl
    • CellCognition‑1.5.2‑cp27‑none‑win_amd64.whl
    • cellh5‑1.2.0‑py2‑none‑any.whl
    • cellh5‑1.3.0‑py2‑none‑any.whl
  • CellProfiler is software for quantitative analysis of biological images.
    Requires numpy+mkl, scipy, matplotlib, wxpython, h5py, vigra, mysqldb, pillow, and whatnot.
    • CellProfiler‑2.2.0‑py2‑none‑any.whl
  • ceODBC enables access to databases using the ODBC API.
    • ceODBC‑2.0.1‑cp27‑cp27m‑win32.whl
    • ceODBC‑2.0.1‑cp27‑cp27m‑win_amd64.whl
    • ceODBC‑2.0.1‑cp34‑cp34m‑win32.whl
    • ceODBC‑2.0.1‑cp34‑cp34m‑win_amd64.whl
    • ceODBC‑2.0.1‑cp35‑cp35m‑win32.whl
    • ceODBC‑2.0.1‑cp35‑cp35m‑win_amd64.whl
    • ceODBC‑2.0.1‑cp36‑cp36m‑win32.whl
    • ceODBC‑2.0.1‑cp36‑cp36m‑win_amd64.whl
  • Cffi, a Foreign Function Interface for calling C code.
    Requires pycparser.
    • cffi‑1.11.2‑cp27‑cp27m‑win32.whl
    • cffi‑1.11.2‑cp27‑cp27m‑win_amd64.whl
    • cffi‑1.11.2‑cp34‑cp34m‑win32.whl
    • cffi‑1.11.2‑cp34‑cp34m‑win_amd64.whl
    • cffi‑1.11.2‑cp35‑cp35m‑win32.whl
    • cffi‑1.11.2‑cp35‑cp35m‑win_amd64.whl
    • cffi‑1.11.2‑cp36‑cp36m‑win32.whl
    • cffi‑1.11.2‑cp36‑cp36m‑win_amd64.whl
  • CGAL-bindings, bindings for theComputational Geometry Algorithms Library.
    • cgal_bindings‑4.4‑cp27‑none‑win32.whl
    • cgal_bindings‑4.4‑cp27‑none‑win_amd64.whl
    • cgal_bindings‑4.4‑cp34‑none‑win32.whl
    • cgal_bindings‑4.4‑cp34‑none‑win_amd64.whl
  • Cgkit, the Computer Graphics Kit, is useful for dealing with 3D data of any kind.
    • cgkit‑2.0.0‑cp27‑none‑win32.whl
    • cgkit‑2.0.0‑cp27‑none‑win_amd64.whl
    • cgkit‑2.0.0‑cp34‑none‑win32.whl
    • cgkit‑2.0.0‑cp34‑none‑win_amd64.whl
  • Chaco, building interactive and custom 2-D plots.
    Part of the Enthought Tool Suite.
    • chaco‑4.7.0‑cp27‑cp27m‑win32.whl
    • chaco‑4.7.0‑cp27‑cp27m‑win_amd64.whl
    • chaco‑4.7.0‑cp34‑cp34m‑win32.whl
    • chaco‑4.7.0‑cp34‑cp34m‑win_amd64.whl
    • chaco‑4.7.0‑cp35‑cp35m‑win32.whl
    • chaco‑4.7.0‑cp35‑cp35m‑win_amd64.whl
    • chaco‑4.7.0‑cp36‑cp36m‑win32.whl
    • chaco‑4.7.0‑cp36‑cp36m‑win_amd64.whl
  • Chainer, a flexible framework of neural networks for deep learning.
    Requires CUDA 8 and CUDNN 6.
    • chainer‑1.24.0‑cp27‑cp27m‑win_amd64.whl
    • chainer‑1.24.0‑cp34‑cp34m‑win_amd64.whl
    • chainer‑1.24.0‑cp35‑cp35m‑win_amd64.whl
    • chainer‑1.24.0‑cp36‑cp36m‑win_amd64.whl
    • chainer‑2.1.0‑py3‑none‑any.whl
    • cupy‑1.0.3‑cp35‑cp35m‑win_amd64.whl
    • cupy‑1.0.3‑cp36‑cp36m‑win_amd64.whl
  • Chebyfit, fit multiple exponential and harmonic functions using Chebyshev polynomials.
    • chebyfit‑2015.3.19‑cp27‑none‑win32.whl
    • chebyfit‑2015.3.19‑cp27‑none‑win_amd64.whl
    • chebyfit‑2015.3.19‑cp34‑none‑win32.whl
    • chebyfit‑2015.3.19‑cp34‑none‑win_amd64.whl
    • chebyfit‑2015.3.19‑cp35‑none‑win32.whl
    • chebyfit‑2015.3.19‑cp35‑none‑win_amd64.whl
    • chebyfit‑2015.3.19‑cp36‑cp36m‑win32.whl
    • chebyfit‑2015.3.19‑cp36‑cp36m‑win_amd64.whl
  • Cheetah, a template engine and code generation tool.
    • Cheetah‑2.4.4‑cp27‑none‑win32.whl
    • Cheetah‑2.4.4‑cp27‑none‑win_amd64.whl
  • Chompack, a library for chordal matrix computations.
    • chompack‑2.3.2‑cp35‑cp35m‑win32.whl
    • chompack‑2.3.2‑cp35‑cp35m‑win_amd64.whl
    • chompack‑2.3.2‑cp36‑cp36m‑win32.whl
    • chompack‑2.3.2‑cp36‑cp36m‑win_amd64.whl
  • CLD wraps Chromium's Compact Language Detector library.
    • cld‑0.31415‑cp27‑none‑win32.whl
    • cld‑0.31415‑cp27‑none‑win_amd64.whl
  • COBRA, a package for constraints-based modeling of biological networks.
    • cobra‑0.9.0‑cp27‑cp27m‑win32.whl
    • cobra‑0.9.0‑cp27‑cp27m‑win_amd64.whl
    • cobra‑0.9.0‑cp34‑cp34m‑win32.whl
    • cobra‑0.9.0‑cp34‑cp34m‑win_amd64.whl
    • cobra‑0.9.0‑cp35‑cp35m‑win32.whl
    • cobra‑0.9.0‑cp35‑cp35m‑win_amd64.whl
    • cobra‑0.9.0‑cp36‑cp36m‑win32.whl
    • cobra‑0.9.0‑cp36‑cp36m‑win_amd64.whl
  • Coverage measures code coverage of programs during test execution.
    • coverage‑4.4.1‑cp27‑cp27m‑win32.whl
    • coverage‑4.4.1‑cp27‑cp27m‑win_amd64.whl
    • coverage‑4.4.1‑cp34‑cp34m‑win32.whl
    • coverage‑4.4.1‑cp34‑cp34m‑win_amd64.whl
    • coverage‑4.4.1‑cp35‑cp35m‑win32.whl
    • coverage‑4.4.1‑cp35‑cp35m‑win_amd64.whl
    • coverage‑4.4.1‑cp36‑cp36m‑win32.whl
    • coverage‑4.4.1‑cp36‑cp36m‑win_amd64.whl
  • Crc16 calculates CRC16 (Cyclic Redundancy Check).
    • crc16‑0.1.1‑cp27‑cp27m‑win32.whl
    • crc16‑0.1.1‑cp27‑cp27m‑win_amd64.whl
    • crc16‑0.1.1‑cp34‑cp34m‑win32.whl
    • crc16‑0.1.1‑cp34‑cp34m‑win_amd64.whl
    • crc16‑0.1.1‑cp35‑cp35m‑win32.whl
    • crc16‑0.1.1‑cp35‑cp35m‑win_amd64.whl
    • crc16‑0.1.1‑cp36‑cp36m‑win32.whl
    • crc16‑0.1.1‑cp36‑cp36m‑win_amd64.whl
  • Crcmod computes Cyclic Redundancy Checks (CRC).
    • crcmod‑1.7‑cp27‑cp27m‑win32.whl
    • crcmod‑1.7‑cp27‑cp27m‑win_amd64.whl
    • crcmod‑1.7‑cp34‑cp34m‑win32.whl
    • crcmod‑1.7‑cp34‑cp34m‑win_amd64.whl
    • crcmod‑1.7‑cp35‑cp35m‑win32.whl
    • crcmod‑1.7‑cp35‑cp35m‑win_amd64.whl
    • crcmod‑1.7‑cp36‑cp36m‑win32.whl
    • crcmod‑1.7‑cp36‑cp36m‑win_amd64.whl
  • Curses, an extension based on thePDCurses library.
    Unicode characters are not supported.
    • curses‑2.2‑cp27‑none‑win32.whl
    • curses‑2.2‑cp27‑none‑win_amd64.whl
    • curses‑2.2‑cp34‑none‑win32.whl
    • curses‑2.2‑cp34‑none‑win_amd64.whl
    • curses‑2.2‑cp35‑none‑win32.whl
    • curses‑2.2‑cp35‑none‑win_amd64.whl
    • curses‑2.2‑cp36‑cp36m‑win32.whl
    • curses‑2.2‑cp36‑cp36m‑win_amd64.whl
    • curses‑2.2‑source.zip
  • CVXcanon, common operations for convex optimization modeling tools.
    • CVXcanon‑0.1.1‑cp27‑cp27m‑win32.whl
    • CVXcanon‑0.1.1‑cp27‑cp27m‑win_amd64.whl
    • CVXcanon‑0.1.1‑cp34‑cp34m‑win32.whl
    • CVXcanon‑0.1.1‑cp34‑cp34m‑win_amd64.whl
    • CVXcanon‑0.1.1‑cp35‑cp35m‑win32.whl
    • CVXcanon‑0.1.1‑cp35‑cp35m‑win_amd64.whl
    • CVXcanon‑0.1.1‑cp36‑cp36m‑win32.whl
    • CVXcanon‑0.1.1‑cp36‑cp36m‑win_amd64.whl
  • CVXOPT (experimental non-MKL icl build), a package for convex optimization.
    Includes GSL, FFTW, and GLPK w/ MPIR modules.
    Linked to numpy-atlas instead of MKL.
    Requires numpy+mkl.
    • cvxopt‑1.1.9‑cp27‑cp27m‑win32.whl
    • cvxopt‑1.1.9‑cp27‑cp27m‑win_amd64.whl
    • cvxopt‑1.1.9‑cp34‑cp34m‑win32.whl
    • cvxopt‑1.1.9‑cp34‑cp34m‑win_amd64.whl
    • cvxopt‑1.1.9‑cp35‑cp35m‑win32.whl
    • cvxopt‑1.1.9‑cp35‑cp35m‑win_amd64.whl
    • cvxopt‑1.1.9‑cp36‑cp36m‑win32.whl
    • cvxopt‑1.1.9‑cp36‑cp36m‑win_amd64.whl
  • CVXPY, a modeling language for convex optimization problems.
    Requires numpy+mkl, scipy, cvxopt, scs, and ecos.
    • cvxpy‑0.4.11‑py2‑none‑any.whl
    • cvxpy‑0.4.11‑py3‑none‑any.whl
  • cx_Freeze, a set of scripts and modules for freezing Python scripts into executable.
    • cx_Freeze‑5.0.2‑cp27‑cp27m‑win32.whl
    • cx_Freeze‑5.0.2‑cp27‑cp27m‑win_amd64.whl
    • cx_Freeze‑5.0.2‑cp34‑cp34m‑win32.whl
    • cx_Freeze‑5.0.2‑cp34‑cp34m‑win_amd64.whl
    • cx_Freeze‑5.0.2‑cp35‑cp35m‑win32.whl
    • cx_Freeze‑5.0.2‑cp35‑cp35m‑win_amd64.whl
    • cx_Freeze‑5.0.2‑cp36‑cp36m‑win32.whl
    • cx_Freeze‑5.0.2‑cp36‑cp36m‑win_amd64.whl
  • cx_Oracle, an interface to theOracle Database conforming to the Python DB API 2.0 specification.
    • cx_Oracle‑5.3+oci12c‑cp27‑cp27m‑win32.whl
    • cx_Oracle‑5.3+oci12c‑cp27‑cp27m‑win_amd64.whl
    • cx_Oracle‑5.3+oci12c‑cp34‑cp34m‑win32.whl
    • cx_Oracle‑5.3+oci12c‑cp34‑cp34m‑win_amd64.whl
    • cx_Oracle‑5.3+oci12c‑cp35‑cp35m‑win32.whl
    • cx_Oracle‑5.3+oci12c‑cp35‑cp35m‑win_amd64.whl
    • cx_Oracle‑5.3+oci12c‑cp36‑cp36m‑win32.whl
    • cx_Oracle‑5.3+oci12c‑cp36‑cp36m‑win_amd64.whl
    • cx_Oracle‑6.0.2‑cp27‑cp27m‑win32.whl
    • cx_Oracle‑6.0.2‑cp27‑cp27m‑win_amd64.whl
    • cx_Oracle‑6.0.2‑cp34‑cp34m‑win32.whl
    • cx_Oracle‑6.0.2‑cp34‑cp34m‑win_amd64.whl
    • cx_Oracle‑6.0.2‑cp35‑cp35m‑win32.whl
    • cx_Oracle‑6.0.2‑cp35‑cp35m‑win_amd64.whl
    • cx_Oracle‑6.0.2‑cp36‑cp36m‑win32.whl
    • cx_Oracle‑6.0.2‑cp36‑cp36m‑win_amd64.whl
  • Cyassimp, bindings for theOpen Assimp Import Library.
    • cyassimp‑0.2.2‑cp27‑cp27m‑win32.whl
    • cyassimp‑0.2.2‑cp27‑cp27m‑win_amd64.whl
    • cyassimp‑0.2.2‑cp34‑cp34m‑win32.whl
    • cyassimp‑0.2.2‑cp34‑cp34m‑win_amd64.whl
    • cyassimp‑0.2.2‑cp35‑cp35m‑win32.whl
    • cyassimp‑0.2.2‑cp35‑cp35m‑win_amd64.whl
    • cyassimp‑0.2.2‑cp36‑cp36m‑win32.whl
    • cyassimp‑0.2.2‑cp36‑cp36m‑win_amd64.whl
  • Cyordereddict, a Cython implementation of OrderedDict.
    • cyordereddict‑1.0.0‑cp27‑cp27m‑win32.whl
    • cyordereddict‑1.0.0‑cp27‑cp27m‑win_amd64.whl
    • cyordereddict‑1.0.0‑cp34‑cp34m‑win32.whl
    • cyordereddict‑1.0.0‑cp34‑cp34m‑win_amd64.whl
    • cyordereddict‑1.0.0‑cp35‑cp35m‑win32.whl
    • cyordereddict‑1.0.0‑cp35‑cp35m‑win_amd64.whl
    • cyordereddict‑1.0.0‑cp36‑cp36m‑win32.whl
    • cyordereddict‑1.0.0‑cp36‑cp36m‑win_amd64.whl
  • Cyrasterize, OpenGL offscreen rasterizing.
    • cyrasterize‑0.3.2‑cp27‑cp27m‑win32.whl
    • cyrasterize‑0.3.2‑cp27‑cp27m‑win_amd64.whl
    • cyrasterize‑0.3.2‑cp34‑cp34m‑win32.whl
    • cyrasterize‑0.3.2‑cp34‑cp34m‑win_amd64.whl
    • cyrasterize‑0.3.2‑cp35‑cp35m‑win32.whl
    • cyrasterize‑0.3.2‑cp35‑cp35m‑win_amd64.whl
    • cyrasterize‑0.3.2‑cp36‑cp36m‑win32.whl
    • cyrasterize‑0.3.2‑cp36‑cp36m‑win_amd64.whl
  • Cython, a language for writing Python C extensions.
    • Cython‑0.26.1‑cp27‑cp27m‑win32.whl
    • Cython‑0.26.1‑cp27‑cp27m‑win_amd64.whl
    • Cython‑0.26.1‑cp34‑cp34m‑win32.whl
    • Cython‑0.26.1‑cp34‑cp34m‑win_amd64.whl
    • Cython‑0.26.1‑cp35‑cp35m‑win32.whl
    • Cython‑0.26.1‑cp35‑cp35m‑win_amd64.whl
    • Cython‑0.26.1‑cp36‑cp36m‑win32.whl
    • Cython‑0.26.1‑cp36‑cp36m‑win_amd64.whl
    • Cython‑0.27.1‑cp27‑cp27m‑win32.whl
    • Cython‑0.27.1‑cp27‑cp27m‑win_amd64.whl
    • Cython‑0.27.1‑cp34‑cp34m‑win32.whl
    • Cython‑0.27.1‑cp34‑cp34m‑win_amd64.whl
    • Cython‑0.27.1‑cp35‑cp35m‑win32.whl
    • Cython‑0.27.1‑cp35‑cp35m‑win_amd64.whl
    • Cython‑0.27.1‑cp36‑cp36m‑win32.whl
    • Cython‑0.27.1‑cp36‑cp36m‑win_amd64.whl
  • Cytoolz, high performance functional utilities.
    • cytoolz‑0.8.2‑cp27‑cp27m‑win32.whl
    • cytoolz‑0.8.2‑cp27‑cp27m‑win_amd64.whl
    • cytoolz‑0.8.2‑cp34‑cp34m‑win32.whl
    • cytoolz‑0.8.2‑cp34‑cp34m‑win_amd64.whl
    • cytoolz‑0.8.2‑cp35‑cp35m‑win32.whl
    • cytoolz‑0.8.2‑cp35‑cp35m‑win_amd64.whl
    • cytoolz‑0.8.2‑cp36‑cp36m‑win32.whl
    • cytoolz‑0.8.2‑cp36‑cp36m‑win_amd64.whl
  • Czifile, read image and metadata from Carl Zeiss(r) CZI files.
    • czifile‑2017.7.13‑cp27‑cp27m‑win32.whl
    • czifile‑2017.7.13‑cp27‑cp27m‑win_amd64.whl
    • czifile‑2017.7.13‑cp34‑cp34m‑win32.whl
    • czifile‑2017.7.13‑cp34‑cp34m‑win_amd64.whl
    • czifile‑2017.7.13‑cp35‑cp35m‑win32.whl
    • czifile‑2017.7.13‑cp35‑cp35m‑win_amd64.whl
    • czifile‑2017.7.13‑cp36‑cp36m‑win32.whl
    • czifile‑2017.7.13‑cp36‑cp36m‑win_amd64.whl
    • czifile‑2017.9.12‑cp27‑cp27m‑win32.whl
    • czifile‑2017.9.12‑cp27‑cp27m‑win_amd64.whl
    • czifile‑2017.9.12‑cp34‑cp34m‑win32.whl
    • czifile‑2017.9.12‑cp34‑cp34m‑win_amd64.whl
    • czifile‑2017.9.12‑cp35‑cp35m‑win32.whl
    • czifile‑2017.9.12‑cp35‑cp35m‑win_amd64.whl
    • czifile‑2017.9.12‑cp36‑cp36m‑win32.whl
    • czifile‑2017.9.12‑cp36‑cp36m‑win_amd64.whl
  • Datrie efficiently stores Trie.
    • datrie‑0.7.1‑cp27‑cp27m‑win32.whl
    • datrie‑0.7.1‑cp27‑cp27m‑win_amd64.whl
    • datrie‑0.7.1‑cp34‑cp34m‑win32.whl
    • datrie‑0.7.1‑cp34‑cp34m‑win_amd64.whl
    • datrie‑0.7.1‑cp35‑cp35m‑win32.whl
    • datrie‑0.7.1‑cp35‑cp35m‑win_amd64.whl
    • datrie‑0.7.1‑cp36‑cp36m‑win32.whl
    • datrie‑0.7.1‑cp36‑cp36m‑win_amd64.whl
  • Debug-information-files installs the Windows debug information files (*.PDB).
    • debug_information_files‑2.7.14‑cp27‑cp27m‑win32.whl
    • debug_information_files‑2.7.14‑cp27‑cp27m‑win_amd64.whl
    • debug_information_files‑3.4.4‑cp34‑cp34m‑win32.whl
    • debug_information_files‑3.4.4‑cp34‑cp34m‑win_amd64.whl
  • Delny creates N-dimensional Delaunay triangulations usinglibqhull.
    • Delny‑0.4.1‑cp27‑none‑win32.whl
    • Delny‑0.4.1‑cp27‑none‑win_amd64.whl
  • Dipy, a toolbox for analysis of MR diffusion imaging.
    • dipy‑0.11.0‑cp27‑cp27m‑win32.whl
    • dipy‑0.11.0‑cp27‑cp27m‑win_amd64.whl
    • dipy‑0.11.0‑cp34‑cp34m‑win32.whl
    • dipy‑0.11.0‑cp34‑cp34m‑win_amd64.whl
    • dipy‑0.11.0‑cp35‑cp35m‑win32.whl
    • dipy‑0.11.0‑cp35‑cp35m‑win_amd64.whl
  • Discretize, discretization tools for finite volume and inverse problems.
    • discretize‑0.1.9‑cp27‑cp27m‑win32.whl
    • discretize‑0.1.9‑cp27‑cp27m‑win_amd64.whl
    • discretize‑0.1.9‑cp34‑cp34m‑win32.whl
    • discretize‑0.1.9‑cp34‑cp34m‑win_amd64.whl
    • discretize‑0.1.9‑cp35‑cp35m‑win32.whl
    • discretize‑0.1.9‑cp35‑cp35m‑win_amd64.whl
    • discretize‑0.1.9‑cp36‑cp36m‑win32.whl
    • discretize‑0.1.9‑cp36‑cp36m‑win_amd64.whl
  • Dulwich, a Git library.
    • dulwich‑0.18.4‑cp27‑cp27m‑win32.whl
    • dulwich‑0.18.4‑cp27‑cp27m‑win_amd64.whl
    • dulwich‑0.18.4‑cp34‑cp34m‑win32.whl
    • dulwich‑0.18.4‑cp34‑cp34m‑win_amd64.whl
    • dulwich‑0.18.4‑cp35‑cp35m‑win32.whl
    • dulwich‑0.18.4‑cp35‑cp35m‑win_amd64.whl
    • dulwich‑0.18.4‑cp36‑cp36m‑win32.whl
    • dulwich‑0.18.4‑cp36‑cp36m‑win_amd64.whl
  • DyND (experimental), bindings to thelibdynd C++ dynamic ndarray library.
    • dynd‑0.6.6‑cp34‑none‑win32.whl
    • dynd‑0.6.6‑cp34‑none‑win_amd64.whl
    • dynd‑0.7.1‑cp35‑none‑win32.whl
    • dynd‑0.7.1‑cp35‑none‑win_amd64.whl
  • ECOS, Embedded Conic Solver.
    • ecos‑2.0.4‑cp27‑cp27m‑win32.whl
    • ecos‑2.0.4‑cp27‑cp27m‑win_amd64.whl
    • ecos‑2.0.4‑cp34‑cp34m‑win32.whl
    • ecos‑2.0.4‑cp34‑cp34m‑win_amd64.whl
    • ecos‑2.0.4‑cp35‑cp35m‑win32.whl
    • ecos‑2.0.4‑cp35‑cp35m‑win_amd64.whl
    • ecos‑2.0.4‑cp36‑cp36m‑win32.whl
    • ecos‑2.0.4‑cp36‑cp36m‑win_amd64.whl
  • Enable, low-level drawing and interaction.
    Part of the Enthought Tool Suite.
    • enable‑4.7.0‑cp27‑cp27m‑win32.whl
    • enable‑4.7.0‑cp27‑cp27m‑win_amd64.whl
    • enable‑4.7.0‑cp34‑cp34m‑win32.whl
    • enable‑4.7.0‑cp34‑cp34m‑win_amd64.whl
    • enable‑4.7.0‑cp35‑cp35m‑win32.whl
    • enable‑4.7.0‑cp35‑cp35m‑win_amd64.whl
    • enable‑4.7.0‑cp36‑cp36m‑win32.whl
    • enable‑4.7.0‑cp36‑cp36m‑win_amd64.whl
  • Enaml, a programming language and framework for creating user interfaces with minimal effort.
    Requires atom, kiwisolver, pyqt4, and PLY.
    • enaml‑0.10.0.dev0‑cp34‑cp34m‑win32.whl
    • enaml‑0.10.0.dev0‑cp34‑cp34m‑win_amd64.whl
    • enaml‑0.10.0.dev0‑cp35‑cp35m‑win32.whl
    • enaml‑0.10.0.dev0‑cp35‑cp35m‑win_amd64.whl
    • enaml‑0.10.0.dev0‑cp36‑cp36m‑win32.whl
    • enaml‑0.10.0.dev0‑cp36‑cp36m‑win_amd64.whl
    • enaml‑0.9.8‑cp27‑none‑win32.whl
    • enaml‑0.9.8‑cp27‑none‑win_amd64.whl
  • Entropy, fast entropy calculation.
    • entropy‑0.10‑cp27‑cp27m‑win32.whl
    • entropy‑0.10‑cp27‑cp27m‑win_amd64.whl
    • entropy‑0.10‑cp34‑cp34m‑win32.whl
    • entropy‑0.10‑cp34‑cp34m‑win_amd64.whl
    • entropy‑0.10‑cp35‑cp35m‑win32.whl
    • entropy‑0.10‑cp35‑cp35m‑win_amd64.whl
    • entropy‑0.10‑cp36‑cp36m‑win32.whl
    • entropy‑0.10‑cp36‑cp36m‑win_amd64.whl
  • ETS (Enthought Tool Suite), a collection of components for building scientific applications.
    Requires chaco, traits, enable, and mayavi.
    • apptools‑4.4.0‑py2‑none‑any.whl
    • apptools‑4.4.0‑py3‑none‑any.whl
    • blockcanvas‑4.0.3‑cp27‑none‑win32.whl
    • blockcanvas‑4.0.3‑cp27‑none‑win_amd64.whl
    • codetools‑4.2.0‑py2‑none‑any.whl
    • encore‑0.7.0‑py2.py3‑none‑any.whl
    • envisage‑4.6.0‑py2‑none‑any.whl
    • envisage‑4.6.0‑py3‑none‑any.whl
    • ets‑4.4.4‑py2‑none‑any.whl
    • etsdevtools‑4.0.2‑py2‑none‑any.whl
    • etsproxy‑0.1.2‑py2‑none‑any.whl
    • graphcanvas‑4.0.2‑py2‑none‑any.whl
    • pyface‑5.1.0‑py2‑none‑any.whl
    • pyface‑5.1.0‑py3‑none‑any.whl
    • scimath‑4.1.2‑cp27‑none‑win32.whl
    • scimath‑4.1.2‑cp27‑none‑win_amd64.whl
    • traitsui‑5.1.0‑py2‑none‑any.whl
    • traitsui‑5.1.0‑py3‑none‑any.whl
  • FabIO, a IO library for images produced by 2D X-ray detector.
    • fabio‑0.5.0‑cp27‑cp27m‑win32.whl
    • fabio‑0.5.0‑cp27‑cp27m‑win_amd64.whl
    • fabio‑0.5.0‑cp34‑cp34m‑win32.whl
    • fabio‑0.5.0‑cp34‑cp34m‑win_amd64.whl
    • fabio‑0.5.0‑cp35‑cp35m‑win32.whl
    • fabio‑0.5.0‑cp35‑cp35m‑win_amd64.whl
    • fabio‑0.5.0‑cp36‑cp36m‑win32.whl
    • fabio‑0.5.0‑cp36‑cp36m‑win_amd64.whl
  • Fann2 bindings forFast Artificial Neural Networks Library.
    • fann2‑1.0.7‑cp27‑cp27m‑win32.whl
    • fann2‑1.0.7‑cp27‑cp27m‑win_amd64.whl
    • fann2‑1.0.7‑cp34‑cp34m‑win32.whl
    • fann2‑1.0.7‑cp34‑cp34m‑win_amd64.whl
    • fann2‑1.0.7‑cp35‑cp35m‑win32.whl
    • fann2‑1.0.7‑cp35‑cp35m‑win_amd64.whl
    • fann2‑1.0.7‑cp36‑cp36m‑win32.whl
    • fann2‑1.0.7‑cp36‑cp36m‑win_amd64.whl
  • Fastcache, a C implementation of the Python 3 lru_cache.
    • fastcache‑1.0.2‑cp27‑cp27m‑win32.whl
    • fastcache‑1.0.2‑cp27‑cp27m‑win_amd64.whl
    • fastcache‑1.0.2‑cp34‑cp34m‑win32.whl
    • fastcache‑1.0.2‑cp34‑cp34m‑win_amd64.whl
    • fastcache‑1.0.2‑cp35‑cp35m‑win32.whl
    • fastcache‑1.0.2‑cp35‑cp35m‑win_amd64.whl
    • fastcache‑1.0.2‑cp36‑cp36m‑win32.whl
    • fastcache‑1.0.2‑cp36‑cp36m‑win_amd64.whl
  • Fastcluster provides fast hierarchical clustering routines.
    • fastcluster‑1.1.24‑cp27‑cp27m‑win32.whl
    • fastcluster‑1.1.24‑cp27‑cp27m‑win_amd64.whl
    • fastcluster‑1.1.24‑cp34‑cp34m‑win32.whl
    • fastcluster‑1.1.24‑cp34‑cp34m‑win_amd64.whl
    • fastcluster‑1.1.24‑cp35‑cp35m‑win32.whl
    • fastcluster‑1.1.24‑cp35‑cp35m‑win_amd64.whl
    • fastcluster‑1.1.24‑cp36‑cp36m‑win32.whl
    • fastcluster‑1.1.24‑cp36‑cp36m‑win_amd64.whl
  • Fastparquet, a implementation of theparquet columnar file format.
    • fastparquet‑0.1.2‑cp27‑cp27m‑win32.whl
    • fastparquet‑0.1.2‑cp27‑cp27m‑win_amd64.whl
    • fastparquet‑0.1.2‑cp34‑cp34m‑win32.whl
    • fastparquet‑0.1.2‑cp34‑cp34m‑win_amd64.whl
    • fastparquet‑0.1.2‑cp35‑cp35m‑win32.whl
    • fastparquet‑0.1.2‑cp35‑cp35m‑win_amd64.whl
    • fastparquet‑0.1.2‑cp36‑cp36m‑win32.whl
    • fastparquet‑0.1.2‑cp36‑cp36m‑win_amd64.whl
  • Fasttext, a interface for FacebookfastText.
    • fasttext‑0.8.3‑cp35‑cp35m‑win32.whl
    • fasttext‑0.8.3‑cp35‑cp35m‑win_amd64.whl
    • fasttext‑0.8.3‑cp36‑cp36m‑win32.whl
    • fasttext‑0.8.3‑cp36‑cp36m‑win_amd64.whl
  • Faulthandler displays the Python traceback on a crash.
    • faulthandler‑3.0‑cp27‑cp27m‑win32.whl
    • faulthandler‑3.0‑cp27‑cp27m‑win_amd64.whl
  • Fdint, Fermi-Dirac integrals of integer and half integer order.
    • fdint‑2.0.2‑cp27‑cp27m‑win32.whl
    • fdint‑2.0.2‑cp27‑cp27m‑win_amd64.whl
    • fdint‑2.0.2‑cp34‑cp34m‑win32.whl
    • fdint‑2.0.2‑cp34‑cp34m‑win_amd64.whl
    • fdint‑2.0.2‑cp35‑cp35m‑win32.whl
    • fdint‑2.0.2‑cp35‑cp35m‑win_amd64.whl
    • fdint‑2.0.2‑cp36‑cp36m‑win32.whl
    • fdint‑2.0.2‑cp36‑cp36m‑win_amd64.whl
  • Ffnet, a feed-forward neural network.
    • ffnet‑0.8.3‑cp27‑cp27m‑win32.whl
    • ffnet‑0.8.3‑cp27‑cp27m‑win_amd64.whl
    • ffnet‑0.8.3‑cp34‑cp34m‑win32.whl
    • ffnet‑0.8.3‑cp34‑cp34m‑win_amd64.whl
    • ffnet‑0.8.3‑cp35‑cp35m‑win32.whl
    • ffnet‑0.8.3‑cp35‑cp35m‑win_amd64.whl
    • ffnet‑0.8.3‑cp36‑cp36m‑win32.whl
    • ffnet‑0.8.3‑cp36‑cp36m‑win_amd64.whl
  • Fiona, OGR's neater API.
    Requires gdal.
    • Fiona‑1.7.9‑cp27‑cp27m‑win32.whl
    • Fiona‑1.7.9‑cp27‑cp27m‑win_amd64.whl
    • Fiona‑1.7.9‑cp34‑cp34m‑win32.whl
    • Fiona‑1.7.9‑cp34‑cp34m‑win_amd64.whl
    • Fiona‑1.7.9‑cp35‑cp35m‑win32.whl
    • Fiona‑1.7.9‑cp35‑cp35m‑win_amd64.whl
    • Fiona‑1.7.9‑cp36‑cp36m‑win32.whl
    • Fiona‑1.7.9‑cp36‑cp36m‑win_amd64.whl
  • Fisher, implementsFisher's exact test.
    • fisher‑0.1.5‑cp27‑cp27m‑win32.whl
    • fisher‑0.1.5‑cp27‑cp27m‑win_amd64.whl
    • fisher‑0.1.5‑cp34‑cp34m‑win32.whl
    • fisher‑0.1.5‑cp34‑cp34m‑win_amd64.whl
    • fisher‑0.1.5‑cp35‑cp35m‑win32.whl
    • fisher‑0.1.5‑cp35‑cp35m‑win_amd64.whl
    • fisher‑0.1.5‑cp36‑cp36m‑win32.whl
    • fisher‑0.1.5‑cp36‑cp36m‑win_amd64.whl
  • Fisx, an enhanced C++ port of the Physics routines used byPyMca.
    • fisx‑1.1.4‑cp27‑cp27m‑win32.whl
    • fisx‑1.1.4‑cp27‑cp27m‑win_amd64.whl
    • fisx‑1.1.4‑cp34‑cp34m‑win32.whl
    • fisx‑1.1.4‑cp34‑cp34m‑win_amd64.whl
    • fisx‑1.1.4‑cp35‑cp35m‑win32.whl
    • fisx‑1.1.4‑cp35‑cp35m‑win_amd64.whl
    • fisx‑1.1.4‑cp36‑cp36m‑win32.whl
    • fisx‑1.1.4‑cp36‑cp36m‑win_amd64.whl
  • FLANN, a library for performing fast approximate nearest neighbor searches in high dimensional spaces.
    • flann‑1.9.1‑cp27‑cp27m‑win32.whl
    • flann‑1.9.1‑cp27‑cp27m‑win_amd64.whl
    • flann‑1.9.1‑cp34‑cp34m‑win32.whl
    • flann‑1.9.1‑cp34‑cp34m‑win_amd64.whl
    • flann‑1.9.1‑cp35‑cp35m‑win32.whl
    • flann‑1.9.1‑cp35‑cp35m‑win_amd64.whl
    • flann‑1.9.1‑cp36‑cp36m‑win32.whl
    • flann‑1.9.1‑cp36‑cp36m‑win_amd64.whl
  • FreeImageDLL, installs theFreeImage DLL to sys.prefix.
    • freeimagedll‑3.17.0‑cp27‑cp27m‑win32.whl
    • freeimagedll‑3.17.0‑cp27‑cp27m‑win_amd64.whl
    • freeimagedll‑3.17.0‑cp34‑cp34m‑win32.whl
    • freeimagedll‑3.17.0‑cp34‑cp34m‑win_amd64.whl
    • freeimagedll‑3.17.0‑cp35‑cp35m‑win32.whl
    • freeimagedll‑3.17.0‑cp35‑cp35m‑win_amd64.whl
    • freeimagedll‑3.17.0‑cp36‑cp36m‑win32.whl
    • freeimagedll‑3.17.0‑cp36‑cp36m‑win_amd64.whl
  • Friture, a program designed to analyze audio input in real-time.
    Requires numpy, pyaudio, pyqt4, pyqwt, and pyopengl.
    • friture‑0.14‑cp27‑none‑win32.whl
    • friture‑0.14‑cp27‑none‑win_amd64.whl
    • friture‑0.19‑cp27‑cp27m‑win32.whl
    • friture‑0.19‑cp27‑cp27m‑win_amd64.whl
  • GDAL (Geospatial Data Abstraction Library), a translator library for raster geospatial data formats.
    This distribution includes a complete GDAL installation. Do not use together with OSGeo4W or gdalwin32.
    Built with KML, HDF5, NetCDF, SpatiaLite, PostGIS, GEOS, PROJ.4 etc.
    The FileGDB plugin requires Esri's FileGDB API 1.3 or FileGDB 1.5 VS2015 or VS2010.
    Requires VCredist SP1 on Python 2.7.
    • GDAL‑1.11.4‑cp27‑none‑win_amd64.whl
    • GDAL‑2.2.2‑cp27‑cp27m‑win32.whl
    • GDAL‑2.2.2‑cp27‑cp27m‑win_amd64.whl
    • GDAL‑2.2.2‑cp34‑cp34m‑win32.whl
    • GDAL‑2.2.2‑cp34‑cp34m‑win_amd64.whl
    • GDAL‑2.2.2‑cp35‑cp35m‑win32.whl
    • GDAL‑2.2.2‑cp35‑cp35m‑win_amd64.whl
    • GDAL‑2.2.2‑cp36‑cp36m‑win32.whl
    • GDAL‑2.2.2‑cp36‑cp36m‑win_amd64.whl
  • Genshi, a toolkit for generation of output for the web.
    • Genshi‑0.7‑cp27‑none‑win32.whl
    • Genshi‑0.7‑cp27‑none‑win_amd64.whl
    • Genshi‑0.8.dev0‑cp27‑none‑win32.whl
    • Genshi‑0.8.dev0‑cp27‑none‑win_amd64.whl
    • Genshi‑0.8.dev0‑py3‑none‑any.whl
  • Gensim, a framework for fast Vector Space Modelling.
    • gensim‑3.0.0‑cp27‑cp27m‑win32.whl
    • gensim‑3.0.0‑cp27‑cp27m‑win_amd64.whl
    • gensim‑3.0.0‑cp34‑cp34m‑win32.whl
    • gensim‑3.0.0‑cp34‑cp34m‑win_amd64.whl
    • gensim‑3.0.0‑cp35‑cp35m‑win32.whl
    • gensim‑3.0.0‑cp35‑cp35m‑win_amd64.whl
    • gensim‑3.0.0‑cp36‑cp36m‑win32.whl
    • gensim‑3.0.0‑cp36‑cp36m‑win_amd64.whl
    • gensim‑3.0.1‑cp27‑cp27m‑win32.whl
    • gensim‑3.0.1‑cp27‑cp27m‑win_amd64.whl
    • gensim‑3.0.1‑cp34‑cp34m‑win32.whl
    • gensim‑3.0.1‑cp34‑cp34m‑win_amd64.whl
    • gensim‑3.0.1‑cp35‑cp35m‑win32.whl
    • gensim‑3.0.1‑cp35‑cp35m‑win_amd64.whl
    • gensim‑3.0.1‑cp36‑cp36m‑win32.whl
    • gensim‑3.0.1‑cp36‑cp36m‑win_amd64.whl
  • Gevent, a coroutine-based networking library based on greenlet and libev.
    Requires greenlet.
    • gevent‑1.2.2‑cp27‑cp27m‑win32.whl
    • gevent‑1.2.2‑cp27‑cp27m‑win_amd64.whl
    • gevent‑1.2.2‑cp34‑cp34m‑win32.whl
    • gevent‑1.2.2‑cp34‑cp34m‑win_amd64.whl
    • gevent‑1.2.2‑cp35‑cp35m‑win32.whl
    • gevent‑1.2.2‑cp35‑cp35m‑win_amd64.whl
    • gevent‑1.2.2‑cp36‑cp36m‑win32.whl
    • gevent‑1.2.2‑cp36‑cp36m‑win_amd64.whl
  • Glumpy, a natural interface between numpy and modern OpenGL.
    Requires numpy, triangle and pyopengl.
    • glumpy‑1.0.6‑cp27‑none‑win32.whl
    • glumpy‑1.0.6‑cp27‑none‑win_amd64.whl
  • GMPY supports fast multiple-precision arithmetic.
    Wraps the MPIR,MPFR, andMPC libraries.
    • gmpy‑1.17‑cp27‑none‑win32.whl
    • gmpy‑1.17‑cp27‑none‑win_amd64.whl
    • gmpy‑1.17‑cp34‑none‑win32.whl
    • gmpy‑1.17‑cp34‑none‑win_amd64.whl
    • gmpy2‑2.0.8‑cp27‑cp27m‑win32.whl
    • gmpy2‑2.0.8‑cp27‑cp27m‑win_amd64.whl
    • gmpy2‑2.0.8‑cp34‑cp34m‑win32.whl
    • gmpy2‑2.0.8‑cp34‑cp34m‑win_amd64.whl
    • gmpy2‑2.0.8‑cp35‑cp35m‑win32.whl
    • gmpy2‑2.0.8‑cp35‑cp35m‑win_amd64.whl
    • gmpy2‑2.0.8‑cp36‑cp36m‑win32.whl
    • gmpy2‑2.0.8‑cp36‑cp36m‑win_amd64.whl
  • GPy, a Gaussian processes framework.
    • GPy‑1.8.4‑cp27‑cp27m‑win32.whl
    • GPy‑1.8.4‑cp27‑cp27m‑win_amd64.whl
    • GPy‑1.8.4‑cp34‑cp34m‑win32.whl
    • GPy‑1.8.4‑cp34‑cp34m‑win_amd64.whl
    • GPy‑1.8.4‑cp35‑cp35m‑win32.whl
    • GPy‑1.8.4‑cp35‑cp35m‑win_amd64.whl
    • GPy‑1.8.4‑cp36‑cp36m‑win32.whl
    • GPy‑1.8.4‑cp36‑cp36m‑win_amd64.whl
  • GR, a universal framework for cross-platform visualization applications.
    • gr‑0.26.0‑cp27‑cp27m‑win32.whl
    • gr‑0.26.0‑cp27‑cp27m‑win_amd64.whl
    • gr‑0.26.0‑cp34‑cp34m‑win32.whl
    • gr‑0.26.0‑cp34‑cp34m‑win_amd64.whl
    • gr‑0.26.0‑cp35‑cp35m‑win32.whl
    • gr‑0.26.0‑cp35‑cp35m‑win_amd64.whl
    • gr‑0.26.0‑cp36‑cp36m‑win32.whl
    • gr‑0.26.0‑cp36‑cp36m‑win_amd64.whl
  • Grako, a generator of PEG/Packrat parsers from EBNF grammars.
    Superseded by TatSu.
    • grako‑3.99.9‑cp27‑cp27m‑win32.whl
    • grako‑3.99.9‑cp27‑cp27m‑win_amd64.whl
    • grako‑3.99.9‑cp34‑cp34m‑win32.whl
    • grako‑3.99.9‑cp34‑cp34m‑win_amd64.whl
    • grako‑3.99.9‑cp35‑cp35m‑win32.whl
    • grako‑3.99.9‑cp35‑cp35m‑win_amd64.whl
    • grako‑3.99.9‑cp36‑cp36m‑win32.whl
    • grako‑3.99.9‑cp36‑cp36m‑win_amd64.whl
  • Greenlet allows lightweight in-process concurrent programming.
    • greenlet‑0.4.12‑cp27‑cp27m‑win32.whl
    • greenlet‑0.4.12‑cp27‑cp27m‑win_amd64.whl
    • greenlet‑0.4.12‑cp34‑cp34m‑win32.whl
    • greenlet‑0.4.12‑cp34‑cp34m‑win_amd64.whl
    • greenlet‑0.4.12‑cp35‑cp35m‑win32.whl
    • greenlet‑0.4.12‑cp35‑cp35m‑win_amd64.whl
    • greenlet‑0.4.12‑cp36‑cp36m‑win32.whl
    • greenlet‑0.4.12‑cp36‑cp36m‑win_amd64.whl
  • GuiQwt, an efficient 2D plotting library.
    GuiQwt 2.x requires pyqwt and guidata 1.6.
    GuiQwt 3.x requires pythonqwt and guidata 1.7.
    • guidata‑1.6.2‑py2.py3‑none‑any.whl
    • guidata‑1.7.6‑py2.py3‑none‑any.whl
    • guiqwt‑2.3.2‑cp27‑cp27m‑win32.whl
    • guiqwt‑2.3.2‑cp27‑cp27m‑win_amd64.whl
    • guiqwt‑2.3.2‑cp34‑cp34m‑win32.whl
    • guiqwt‑2.3.2‑cp34‑cp34m‑win_amd64.whl
    • guiqwt‑2.3.2‑cp35‑cp35m‑win32.whl
    • guiqwt‑2.3.2‑cp35‑cp35m‑win_amd64.whl
    • guiqwt‑2.3.2‑cp36‑cp36m‑win32.whl
    • guiqwt‑2.3.2‑cp36‑cp36m‑win_amd64.whl
    • guiqwt‑3.0.3‑cp27‑cp27m‑win32.whl
    • guiqwt‑3.0.3‑cp27‑cp27m‑win_amd64.whl
    • guiqwt‑3.0.3‑cp34‑cp34m‑win32.whl
    • guiqwt‑3.0.3‑cp34‑cp34m‑win_amd64.whl
    • guiqwt‑3.0.3‑cp35‑cp35m‑win32.whl
    • guiqwt‑3.0.3‑cp35‑cp35m‑win_amd64.whl
    • guiqwt‑3.0.3‑cp36‑cp36m‑win32.whl
    • guiqwt‑3.0.3‑cp36‑cp36m‑win_amd64.whl
  • Gvar, utilities for manipulating correlated Gaussian random variables.
    • gvar‑8.3.3‑cp27‑cp27m‑win32.whl
    • gvar‑8.3.3‑cp27‑cp27m‑win_amd64.whl
    • gvar‑8.3.3‑cp34‑cp34m‑win32.whl
    • gvar‑8.3.3‑cp34‑cp34m‑win_amd64.whl
    • gvar‑8.3.3‑cp35‑cp35m‑win32.whl
    • gvar‑8.3.3‑cp35‑cp35m‑win_amd64.whl
    • gvar‑8.3.3‑cp36‑cp36m‑win32.whl
    • gvar‑8.3.3‑cp36‑cp36m‑win_amd64.whl
  • H5py, a general-purpose interface to theHDF5 library.
    • h5py‑2.7.1‑cp27‑cp27m‑win32.whl
    • h5py‑2.7.1‑cp27‑cp27m‑win_amd64.whl
    • h5py‑2.7.1‑cp34‑cp34m‑win32.whl
    • h5py‑2.7.1‑cp34‑cp34m‑win_amd64.whl
    • h5py‑2.7.1‑cp35‑cp35m‑win32.whl
    • h5py‑2.7.1‑cp35‑cp35m‑win_amd64.whl
    • h5py‑2.7.1‑cp36‑cp36m‑win32.whl
    • h5py‑2.7.1‑cp36‑cp36m‑win_amd64.whl
  • HDDM implements Hierarchical Bayesian estimation of Drift Diffusion Models.
    • HDDM‑0.6.1‑cp27‑cp27m‑win32.whl
    • HDDM‑0.6.1‑cp27‑cp27m‑win_amd64.whl
    • HDDM‑0.6.1‑cp34‑cp34m‑win32.whl
    • HDDM‑0.6.1‑cp34‑cp34m‑win_amd64.whl
    • HDDM‑0.6.1‑cp35‑cp35m‑win32.whl
    • HDDM‑0.6.1‑cp35‑cp35m‑win_amd64.whl
    • HDDM‑0.6.1‑cp36‑cp36m‑win32.whl
    • HDDM‑0.6.1‑cp36‑cp36m‑win_amd64.whl
  • Heatmap, create heatmaps.
    • heatmap‑2.2.1‑cp27‑cp27m‑win32.whl
    • heatmap‑2.2.1‑cp27‑cp27m‑win_amd64.whl
    • heatmap‑2.2.1‑cp34‑cp34m‑win32.whl
    • heatmap‑2.2.1‑cp34‑cp34m‑win_amd64.whl
    • heatmap‑2.2.1‑cp35‑cp35m‑win32.whl
    • heatmap‑2.2.1‑cp35‑cp35m‑win_amd64.whl
    • heatmap‑2.2.1‑cp36‑cp36m‑win32.whl
    • heatmap‑2.2.1‑cp36‑cp36m‑win_amd64.whl
  • Hmmlearn, aglorithms and models to learn HMMs (hidden markov models).
    • hmmlearn‑0.2.1‑cp27‑cp27m‑win32.whl
    • hmmlearn‑0.2.1‑cp27‑cp27m‑win_amd64.whl
    • hmmlearn‑0.2.1‑cp34‑cp34m‑win32.whl
    • hmmlearn‑0.2.1‑cp34‑cp34m‑win_amd64.whl
    • hmmlearn‑0.2.1‑cp35‑cp35m‑win32.whl
    • hmmlearn‑0.2.1‑cp35‑cp35m‑win_amd64.whl
    • hmmlearn‑0.2.1‑cp36‑cp36m‑win32.whl
    • hmmlearn‑0.2.1‑cp36‑cp36m‑win_amd64.whl
  • HoloPy, a tool for working with digital holograms and light scattering.
    • HoloPy‑2.0.0‑cp27‑none‑win32.whl
    • HoloPy‑2.0.0‑cp27‑none‑win_amd64.whl
    • HoloPy‑2.0.0‑cp34‑cp34m‑win32.whl
    • HoloPy‑2.0.0‑cp34‑cp34m‑win_amd64.whl
    • HoloPy‑2.0.0‑cp35‑cp35m‑win32.whl
    • HoloPy‑2.0.0‑cp35‑cp35m‑win_amd64.whl
    • HoloPy‑2.0.0‑cp36‑cp36m‑win32.whl
    • HoloPy‑2.0.0‑cp36‑cp36m‑win_amd64.whl
  • HTSeq provides infrastructure to process data from high-throughput sequencing assays.
    • HTSeq‑0.6.1‑cp27‑none‑win32.whl
    • HTSeq‑0.6.1‑cp27‑none‑win_amd64.whl
  • HyperSpy, multidimensional data analysis.
    • hyperspy‑0.8.3‑py2‑none‑any.whl
    • hyperspy‑1.3‑cp34‑cp34m‑win32.whl
    • hyperspy‑1.3‑cp34‑cp34m‑win_amd64.whl
    • hyperspy‑1.3‑cp35‑cp35m‑win32.whl
    • hyperspy‑1.3‑cp35‑cp35m‑win_amd64.whl
    • hyperspy‑1.3‑cp36‑cp36m‑win32.whl
    • hyperspy‑1.3‑cp36‑cp36m‑win_amd64.whl
  • Ilastik, an interactive learning and segmentation toolkit.
    • ilastik‑0.5.12‑py2‑none‑any.whl
  • ImageD11, a software package for the analysis of 2D diffraction images.
    • ImageD11‑1.7.0‑cp27‑cp27m‑win32.whl
    • ImageD11‑1.7.0‑cp27‑cp27m‑win_amd64.whl
    • xfab‑0.0.2‑py2‑none‑any.whl
  • Iminuit, an interactive mimizer based onMINUIT.
    • iminuit‑1.2‑cp27‑cp27m‑win32.whl
    • iminuit‑1.2‑cp27‑cp27m‑win_amd64.whl
    • iminuit‑1.2‑cp34‑cp34m‑win32.whl
    • iminuit‑1.2‑cp34‑cp34m‑win_amd64.whl
    • iminuit‑1.2‑cp35‑cp35m‑win32.whl
    • iminuit‑1.2‑cp35‑cp35m‑win_amd64.whl
    • iminuit‑1.2‑cp36‑cp36m‑win32.whl
    • iminuit‑1.2‑cp36‑cp36m‑win_amd64.whl
  • Imread reads images into numpy arrays.
    • imread‑0.6‑cp27‑cp27m‑win32.whl
    • imread‑0.6‑cp27‑cp27m‑win_amd64.whl
    • imread‑0.6‑cp34‑cp34m‑win32.whl
    • imread‑0.6‑cp34‑cp34m‑win_amd64.whl
    • imread‑0.6‑cp35‑cp35m‑win32.whl
    • imread‑0.6‑cp35‑cp35m‑win_amd64.whl
    • imread‑0.6‑cp36‑cp36m‑win32.whl
    • imread‑0.6‑cp36‑cp36m‑win_amd64.whl
  • Indexed_gzip, fast random access of gzip files.
    • indexed_gzip‑0.6.1‑cp27‑cp27m‑win32.whl
    • indexed_gzip‑0.6.1‑cp27‑cp27m‑win_amd64.whl
    • indexed_gzip‑0.6.1‑cp34‑cp34m‑win32.whl
    • indexed_gzip‑0.6.1‑cp34‑cp34m‑win_amd64.whl
    • indexed_gzip‑0.6.1‑cp35‑cp35m‑win32.whl
    • indexed_gzip‑0.6.1‑cp35‑cp35m‑win_amd64.whl
    • indexed_gzip‑0.6.1‑cp36‑cp36m‑win32.whl
    • indexed_gzip‑0.6.1‑cp36‑cp36m‑win_amd64.whl
  • Intbitset provides an intbitset data object.
    • intbitset‑2.3.0‑cp27‑cp27m‑win32.whl
    • intbitset‑2.3.0‑cp27‑cp27m‑win_amd64.whl
    • intbitset‑2.3.0‑cp34‑cp34m‑win32.whl
    • intbitset‑2.3.0‑cp34‑cp34m‑win_amd64.whl
    • intbitset‑2.3.0‑cp35‑cp35m‑win32.whl
    • intbitset‑2.3.0‑cp35‑cp35m‑win_amd64.whl
    • intbitset‑2.3.0‑cp36‑cp36m‑win32.whl
    • intbitset‑2.3.0‑cp36‑cp36m‑win_amd64.whl
  • IOCBio, open-source software from theLaboratory of Systems Biology.
    Requires numpy+mkl.
    • iocbio‑1.3.0.dev359‑cp27‑none‑win32.whl
    • iocbio‑1.3.0.dev359‑cp27‑none‑win_amd64.whl
  • Iris, a library for analysing and visualising meteorological and oceanographic data sets
    Requires scipy, netcdf4-python, cartopy,shapely,udunits2 andother dependencies.
    • cf_units‑1.1.3‑py2.py3‑none‑any.whl
    • emcee‑2.2.1‑py2.py3‑none‑any.whl
    • Iris‑1.13.0‑py2‑none‑any.whl
    • Iris‑1.13.0‑py3‑none‑any.whl
    • nc_time_axis‑1.0.1‑py2.py3‑none‑any.whl
    • pyke‑1.1.1‑py2‑none‑any.whl
    • pyke‑1.1.1‑py3‑none‑any.whl
  • Javabridge, a wrapper for the Java Native Interface.
    • javabridge‑1.0.15‑cp27‑cp27m‑win32.whl
    • javabridge‑1.0.15‑cp27‑cp27m‑win_amd64.whl
    • javabridge‑1.0.15‑cp34‑cp34m‑win32.whl
    • javabridge‑1.0.15‑cp34‑cp34m‑win_amd64.whl
    • javabridge‑1.0.15‑cp35‑cp35m‑win32.whl
    • javabridge‑1.0.15‑cp35‑cp35m‑win_amd64.whl
    • javabridge‑1.0.15‑cp36‑cp36m‑win32.whl
    • javabridge‑1.0.15‑cp36‑cp36m‑win_amd64.whl
  • JCC, a C++ code generator that produces a C++ object interface wrapping a Java library via Java's Native Interface (JNI).
    Users must adjust "jcc\config.py" for the target system.
    • JCC‑2.23‑cp27‑cp27m‑win32.whl
    • JCC‑2.23‑cp27‑cp27m‑win_amd64.whl
    • JCC‑3.0‑cp27‑cp27m‑win32.whl
    • JCC‑3.0‑cp27‑cp27m‑win_amd64.whl
    • JCC‑3.0‑cp34‑cp34m‑win32.whl
    • JCC‑3.0‑cp34‑cp34m‑win_amd64.whl
    • JCC‑3.0‑cp35‑cp35m‑win32.whl
    • JCC‑3.0‑cp35‑cp35m‑win_amd64.whl
    • JCC‑3.0‑cp36‑cp36m‑win32.whl
    • JCC‑3.0‑cp36‑cp36m‑win_amd64.whl
  • JPype allows full access to Java class libraries.
    • JPype1‑0.6.2‑cp27‑cp27m‑win32.whl
    • JPype1‑0.6.2‑cp27‑cp27m‑win_amd64.whl
    • JPype1‑0.6.2‑cp34‑cp34m‑win32.whl
    • JPype1‑0.6.2‑cp34‑cp34m‑win_amd64.whl
    • JPype1‑0.6.2‑cp35‑cp35m‑win32.whl
    • JPype1‑0.6.2‑cp35‑cp35m‑win_amd64.whl
    • JPype1‑0.6.2‑cp36‑cp36m‑win32.whl
    • JPype1‑0.6.2‑cp36‑cp36m‑win_amd64.whl
  • Jsonlib, aJSON serializer/deserializer.
    • jsonlib‑1.6.1‑cp27‑cp27m‑win32.whl
    • jsonlib‑1.6.1‑cp27‑cp27m‑win_amd64.whl
    • jsonlib_python3‑1.6.1‑cp34‑cp34m‑win32.whl
    • jsonlib_python3‑1.6.1‑cp34‑cp34m‑win_amd64.whl
    • jsonlib_python3‑1.6.1‑cp35‑cp35m‑win32.whl
    • jsonlib_python3‑1.6.1‑cp35‑cp35m‑win_amd64.whl
    • jsonlib_python3‑1.6.1‑cp36‑cp36m‑win32.whl
    • jsonlib_python3‑1.6.1‑cp36‑cp36m‑win_amd64.whl
  • Jupyter, an interactive computing environment.
    Some functions require setuptools,pyzmq,tornado,pygments, markupsafe,jinja2, mistune, rpy2, pycairo, matplotlib,pyqt4 orpyside, pandoc, and whatnot.
    • ipykernel‑4.6.1‑py2.py3‑none‑any.whl
    • ipyparallel‑6.0.2‑py2.py3‑none‑any.whl
    • ipython‑5.4.1‑py2‑none‑any.whl
    • ipython‑6.2.1‑py3‑none‑any.whl
    • ipython_genutils‑0.2.0‑py2.py3‑none‑any.whl
    • ipywidgets‑6.0.1‑py2.py3‑none‑any.whl
    • ipywidgets‑7.0.1‑py2.py3‑none‑any.whl
    • jupyter‑1.0.0‑py2.py3‑none‑any.whl
    • jupyter_client‑5.1.0‑py2.py3‑none‑any.whl
    • jupyter_console‑5.2.0‑py2.py3‑none‑any.whl
    • jupyter_core‑4.3.0‑py2.py3‑none‑any.whl
    • jupyterlab‑0.27.0‑py2.py3‑none‑any.whl
    • jupyterlab‑0.28.2‑py2.py3‑none‑any.whl
    • jupyterlab_launcher‑0.5.2‑py2.py3‑none‑any.whl
    • jupyterlab_launcher‑0.5.3‑py2.py3‑none‑any.whl
    • jupyterlab_launcher‑0.5.4‑py2.py3‑none‑any.whl
    • nbconvert‑5.3.1‑py2.py3‑none‑any.whl
    • nbformat‑4.4.0‑py2.py3‑none‑any.whl
    • notebook‑5.2.0‑py2.py3‑none‑any.whl
    • qtconsole‑4.3.1‑py2.py3‑none‑any.whl
    • traitlets‑4.3.2‑py2.py3‑none‑any.whl
    • widgetsnbextension‑2.0.1‑py2.py3‑none‑any.whl
    • widgetsnbextension‑3.0.2‑py2.py3‑none‑any.whl
    • widgetsnbextension‑3.0.3‑py2.py3‑none‑any.whl
  • Kivy, a library for developing multi-touch applications.
    • Kivy‑1.10.0‑cp27‑cp27m‑win32.whl
    • Kivy‑1.10.0‑cp27‑cp27m‑win_amd64.whl
    • Kivy‑1.10.0‑cp34‑cp34m‑win32.whl
    • Kivy‑1.10.0‑cp34‑cp34m‑win_amd64.whl
    • Kivy‑1.10.0‑cp35‑cp35m‑win32.whl
    • Kivy‑1.10.0‑cp35‑cp35m‑win_amd64.whl
    • Kivy‑1.10.0‑cp36‑cp36m‑win32.whl
    • Kivy‑1.10.0‑cp36‑cp36m‑win_amd64.whl
  • Kiwisolver, an efficient implementation of theCassowary constraint solving algorithm.
    • kiwisolver‑1.0.0‑cp27‑cp27m‑win32.whl
    • kiwisolver‑1.0.0‑cp27‑cp27m‑win_amd64.whl
    • kiwisolver‑1.0.0‑cp34‑cp34m‑win32.whl
    • kiwisolver‑1.0.0‑cp34‑cp34m‑win_amd64.whl
    • kiwisolver‑1.0.0‑cp35‑cp35m‑win32.whl
    • kiwisolver‑1.0.0‑cp35‑cp35m‑win_amd64.whl
    • kiwisolver‑1.0.0‑cp36‑cp36m‑win32.whl
    • kiwisolver‑1.0.0‑cp36‑cp36m‑win_amd64.whl
  • Kwant, quantum transport simulations made easy.
    Requires numpy+mkl and tinyarray.
    • kwant‑1.0.5‑cp27‑none‑win32.whl
    • kwant‑1.0.5‑cp27‑none‑win_amd64.whl
    • kwant‑1.1.3‑cp27‑cp27m‑win32.whl
    • kwant‑1.1.3‑cp27‑cp27m‑win_amd64.whl
    • kwant‑1.3.1‑cp34‑cp34m‑win32.whl
    • kwant‑1.3.1‑cp34‑cp34m‑win_amd64.whl
    • kwant‑1.3.1‑cp35‑cp35m‑win32.whl
    • kwant‑1.3.1‑cp35‑cp35m‑win_amd64.whl
    • kwant‑1.3.1‑cp36‑cp36m‑win32.whl
    • kwant‑1.3.1‑cp36‑cp36m‑win_amd64.whl
  • La aka larry, the labeled numpy array.
    • la‑0.7.0.dev0‑cp27‑cp27m‑win32.whl
    • la‑0.7.0.dev0‑cp27‑cp27m‑win_amd64.whl
    • la‑0.7.0.dev0‑cp34‑cp34m‑win32.whl
    • la‑0.7.0.dev0‑cp34‑cp34m‑win_amd64.whl
    • la‑0.7.0.dev0‑cp35‑cp35m‑win32.whl
    • la‑0.7.0.dev0‑cp35‑cp35m‑win_amd64.whl
  • Lazy_object_proxy, a fast and thorough lazy object proxy.
    • lazy_object_proxy‑1.3.1‑cp27‑cp27m‑win32.whl
    • lazy_object_proxy‑1.3.1‑cp27‑cp27m‑win_amd64.whl
    • lazy_object_proxy‑1.3.1‑cp34‑cp34m‑win32.whl
    • lazy_object_proxy‑1.3.1‑cp34‑cp34m‑win_amd64.whl
    • lazy_object_proxy‑1.3.1‑cp35‑cp35m‑win32.whl
    • lazy_object_proxy‑1.3.1‑cp35‑cp35m‑win_amd64.whl
    • lazy_object_proxy‑1.3.1‑cp36‑cp36m‑win32.whl
    • lazy_object_proxy‑1.3.1‑cp36‑cp36m‑win_amd64.whl
  • Lazyflow, graph based lazy numpy data flows.
    • lazyflow‑0.1‑cp27‑none‑win32.whl
    • lazyflow‑0.1‑cp27‑none‑win_amd64.whl
  • Lfdfiles, Rread Laboratory for Fluorescence Dynamics (LFD) file formats.
    • lfdfiles‑2016.3.29‑cp27‑cp27m‑win32.whl
    • lfdfiles‑2016.3.29‑cp27‑cp27m‑win_amd64.whl
    • lfdfiles‑2016.3.29‑cp34‑cp34m‑win32.whl
    • lfdfiles‑2016.3.29‑cp34‑cp34m‑win_amd64.whl
    • lfdfiles‑2016.3.29‑cp35‑cp35m‑win32.whl
    • lfdfiles‑2016.3.29‑cp35‑cp35m‑win_amd64.whl
    • lfdfiles‑2016.3.29‑cp36‑cp36m‑win32.whl
    • lfdfiles‑2016.3.29‑cp36‑cp36m‑win_amd64.whl
  • LibLAS reads and writes the LiDAR (Light Detection And Ranging) format.
    • libLAS‑1.8.1‑cp27‑cp27m‑win32.whl
    • libLAS‑1.8.1‑cp27‑cp27m‑win_amd64.whl
    • libLAS‑1.8.1‑cp34‑cp34m‑win32.whl
    • libLAS‑1.8.1‑cp34‑cp34m‑win_amd64.whl
    • libLAS‑1.8.1‑cp35‑cp35m‑win32.whl
    • libLAS‑1.8.1‑cp35‑cp35m‑win_amd64.whl
    • libLAS‑1.8.1‑cp36‑cp36m‑win32.whl
    • libLAS‑1.8.1‑cp36‑cp36m‑win_amd64.whl
  • LIBLINEAR, a library for large linear classification.
    Requires numpy+mkl.
    • liblinear‑2.11‑cp27‑cp27m‑win32.whl
    • liblinear‑2.11‑cp27‑cp27m‑win_amd64.whl
    • liblinear‑2.11‑cp34‑cp34m‑win32.whl
    • liblinear‑2.11‑cp34‑cp34m‑win_amd64.whl
    • liblinear‑2.11‑cp35‑cp35m‑win32.whl
    • liblinear‑2.11‑cp35‑cp35m‑win_amd64.whl
    • liblinear‑2.11‑cp36‑cp36m‑win32.whl
    • liblinear‑2.11‑cp36‑cp36m‑win_amd64.whl
  • Libpython installs the libpython??.a libraries to sys.prefix\libs.
    For use with mingwpy.
    • libpython‑2.7.10‑cp27‑none‑win32.whl
    • libpython‑2.7.10‑cp27‑none‑win_amd64.whl
    • libpython‑3.4.3‑cp34‑none‑win32.whl
    • libpython‑3.4.3‑cp34‑none‑win_amd64.whl
  • libSBML reads, writes, manipulates, translates, and validates SBML (Systems Biology Markup Language) files and data streams.
    • python_libsbml‑5.13.0‑cp27‑cp27m‑win32.whl
    • python_libsbml‑5.13.0‑cp27‑cp27m‑win_amd64.whl
    • python_libsbml‑5.13.0‑cp34‑cp34m‑win32.whl
    • python_libsbml‑5.13.0‑cp34‑cp34m‑win_amd64.whl
    • python_libsbml‑5.13.0‑cp35‑cp35m‑win32.whl
    • python_libsbml‑5.13.0‑cp35‑cp35m‑win_amd64.whl
    • python_libsbml‑5.13.0‑cp36‑cp36m‑win32.whl
    • python_libsbml‑5.13.0‑cp36‑cp36m‑win_amd64.whl
  • LIBSVM, a library for Support Vector Machines.
    • libsvm‑3.22‑cp27‑cp27m‑win32.whl
    • libsvm‑3.22‑cp27‑cp27m‑win_amd64.whl
    • libsvm‑3.22‑cp34‑cp34m‑win32.whl
    • libsvm‑3.22‑cp34‑cp34m‑win_amd64.whl
    • libsvm‑3.22‑cp35‑cp35m‑win32.whl
    • libsvm‑3.22‑cp35‑cp35m‑win_amd64.whl
    • libsvm‑3.22‑cp36‑cp36m‑win32.whl
    • libsvm‑3.22‑cp36‑cp36m‑win_amd64.whl
  • Libtfr (experimental non-MKL icl build) calculates multi-taper windowed and time-frequency reassignment spectrograms.
    Requires numpy+mkl.
    • libtfr‑1.0.6‑cp27‑cp27m‑win32.whl
    • libtfr‑1.0.6‑cp27‑cp27m‑win_amd64.whl
    • libtfr‑2.0.1‑cp27‑cp27m‑win32.whl
    • libtfr‑2.0.1‑cp27‑cp27m‑win_amd64.whl
    • libtfr‑2.0.1‑cp34‑cp34m‑win32.whl
    • libtfr‑2.0.1‑cp34‑cp34m‑win_amd64.whl
  • Libxml-python are bindings for thelibxml2 and libxslt libraries.
    • libxml2_python‑2.9.3‑cp27‑none‑win32.whl
    • libxml2_python‑2.9.3‑cp27‑none‑win_amd64.whl
  • Lightning, large-scale linear classification, regression and ranking.
    • sklearn_contrib_lightning‑0.4.0‑cp27‑cp27m‑win32.whl
    • sklearn_contrib_lightning‑0.4.0‑cp27‑cp27m‑win_amd64.whl
    • sklearn_contrib_lightning‑0.4.0‑cp34‑cp34m‑win32.whl
    • sklearn_contrib_lightning‑0.4.0‑cp34‑cp34m‑win_amd64.whl
    • sklearn_contrib_lightning‑0.4.0‑cp35‑cp35m‑win32.whl
    • sklearn_contrib_lightning‑0.4.0‑cp35‑cp35m‑win_amd64.whl
    • sklearn_contrib_lightning‑0.4.0‑cp36‑cp36m‑win32.whl
    • sklearn_contrib_lightning‑0.4.0‑cp36‑cp36m‑win_amd64.whl
  • Line_profiler, a line-by-line profiler.
    • line_profiler‑2.0‑cp27‑cp27m‑win32.whl
    • line_profiler‑2.0‑cp27‑cp27m‑win_amd64.whl
    • line_profiler‑2.0‑cp34‑cp34m‑win32.whl
    • line_profiler‑2.0‑cp34‑cp34m‑win_amd64.whl
    • line_profiler‑2.0‑cp35‑cp35m‑win32.whl
    • line_profiler‑2.0‑cp35‑cp35m‑win_amd64.whl
    • line_profiler‑2.0‑cp36‑cp36m‑win32.whl
    • line_profiler‑2.0‑cp36‑cp36m‑win_amd64.whl
  • Llist provides linked list data structures.
    • llist‑0.4‑cp27‑cp27m‑win32.whl
    • llist‑0.4‑cp27‑cp27m‑win_amd64.whl
    • llist‑0.4‑cp34‑cp34m‑win32.whl
    • llist‑0.4‑cp34‑cp34m‑win_amd64.whl
    • llist‑0.4‑cp35‑cp35m‑win32.whl
    • llist‑0.4‑cp35‑cp35m‑win_amd64.whl
    • llist‑0.4‑cp36‑cp36m‑win32.whl
    • llist‑0.4‑cp36‑cp36m‑win_amd64.whl
  • Llvmlite, a lightweightLLVM binding for writing JIT compilers.
    Requires the Visual C++ Redistributable Packages for Visual Studio 2015.
    • llvmlite‑0.20.0‑cp27‑cp27m‑win32.whl
    • llvmlite‑0.20.0‑cp27‑cp27m‑win_amd64.whl
    • llvmlite‑0.20.0‑cp34‑cp34m‑win32.whl
    • llvmlite‑0.20.0‑cp34‑cp34m‑win_amd64.whl
    • llvmlite‑0.20.0‑cp35‑cp35m‑win32.whl
    • llvmlite‑0.20.0‑cp35‑cp35m‑win_amd64.whl
    • llvmlite‑0.20.0‑cp36‑cp36m‑win32.whl
    • llvmlite‑0.20.0‑cp36‑cp36m‑win_amd64.whl
  • LLVMPy, a wrapper around theLLVM compiler library.
    • llvmpy‑0.12.7‑cp27‑none‑win32.whl
    • llvmpy‑0.12.7‑cp27‑none‑win_amd64.whl
    • llvmpy‑0.12.7‑cp34‑none‑win32.whl
    • llvmpy‑0.12.7‑cp34‑none‑win_amd64.whl
  • Logbook, a logging replacement.
    • Logbook‑1.1.0‑cp27‑cp27m‑win32.whl
    • Logbook‑1.1.0‑cp27‑cp27m‑win_amd64.whl
    • Logbook‑1.1.0‑cp34‑cp34m‑win32.whl
    • Logbook‑1.1.0‑cp34‑cp34m‑win_amd64.whl
    • Logbook‑1.1.0‑cp35‑cp35m‑win32.whl
    • Logbook‑1.1.0‑cp35‑cp35m‑win_amd64.whl
    • Logbook‑1.1.0‑cp36‑cp36m‑win32.whl
    • Logbook‑1.1.0‑cp36‑cp36m‑win_amd64.whl
  • lp_solve, a Mixed Integer Linear Programming (MILP) solver.
    • lpsolve55‑5.5.2.5‑cp27‑cp27m‑win32.whl
    • lpsolve55‑5.5.2.5‑cp27‑cp27m‑win_amd64.whl
    • lpsolve55‑5.5.2.5‑cp34‑cp34m‑win32.whl
    • lpsolve55‑5.5.2.5‑cp34‑cp34m‑win_amd64.whl
    • lpsolve55‑5.5.2.5‑cp35‑cp35m‑win32.whl
    • lpsolve55‑5.5.2.5‑cp35‑cp35m‑win_amd64.whl
    • lpsolve55‑5.5.2.5‑cp36‑cp36m‑win32.whl
    • lpsolve55‑5.5.2.5‑cp36‑cp36m‑win_amd64.whl
  • Lru_dict, a fast and memory efficient LRU cache.
    • lru_dict‑1.1.6‑cp27‑cp27m‑win32.whl
    • lru_dict‑1.1.6‑cp27‑cp27m‑win_amd64.whl
    • lru_dict‑1.1.6‑cp34‑cp34m‑win32.whl
    • lru_dict‑1.1.6‑cp34‑cp34m‑win_amd64.whl
    • lru_dict‑1.1.6‑cp35‑cp35m‑win32.whl
    • lru_dict‑1.1.6‑cp35‑cp35m‑win_amd64.whl
    • lru_dict‑1.1.6‑cp36‑cp36m‑win32.whl
    • lru_dict‑1.1.6‑cp36‑cp36m‑win_amd64.whl
  • Lsqfit, utilities for nonlinear least-squares fits.
    Requires gvar.
    • lsqfit‑9.1.3‑cp27‑cp27m‑win32.whl
    • lsqfit‑9.1.3‑cp27‑cp27m‑win_amd64.whl
    • lsqfit‑9.1.3‑cp34‑cp34m‑win32.whl
    • lsqfit‑9.1.3‑cp34‑cp34m‑win_amd64.whl
    • lsqfit‑9.1.3‑cp35‑cp35m‑win32.whl
    • lsqfit‑9.1.3‑cp35‑cp35m‑win_amd64.whl
    • lsqfit‑9.1.3‑cp36‑cp36m‑win32.whl
    • lsqfit‑9.1.3‑cp36‑cp36m‑win_amd64.whl
  • Lxml, a binding for thelibxml2 andlibxslt libraries.
    • lxml‑4.1.0‑cp27‑cp27m‑win32.whl
    • lxml‑4.1.0‑cp27‑cp27m‑win_amd64.whl
    • lxml‑4.1.0‑cp34‑cp34m‑win32.whl
    • lxml‑4.1.0‑cp34‑cp34m‑win_amd64.whl
    • lxml‑4.1.0‑cp35‑cp35m‑win32.whl
    • lxml‑4.1.0‑cp35‑cp35m‑win_amd64.whl
    • lxml‑4.1.0‑cp36‑cp36m‑win32.whl
    • lxml‑4.1.0‑cp36‑cp36m‑win_amd64.whl
  • Mahotas, a set of functions for image processing.
    • mahotas‑1.4.3‑cp27‑cp27m‑win32.whl
    • mahotas‑1.4.3‑cp27‑cp27m‑win_amd64.whl
    • mahotas‑1.4.3‑cp34‑cp34m‑win32.whl
    • mahotas‑1.4.3‑cp34‑cp34m‑win_amd64.whl
    • mahotas‑1.4.3‑cp35‑cp35m‑win32.whl
    • mahotas‑1.4.3‑cp35‑cp35m‑win_amd64.whl
    • mahotas‑1.4.3‑cp36‑cp36m‑win32.whl
    • mahotas‑1.4.3‑cp36‑cp36m‑win_amd64.whl
  • Marisa-trie provides static memory-efficient Trie-like structures.
    • marisa_trie‑0.7.4‑cp27‑cp27m‑win32.whl
    • marisa_trie‑0.7.4‑cp27‑cp27m‑win_amd64.whl
    • marisa_trie‑0.7.4‑cp34‑cp34m‑win32.whl
    • marisa_trie‑0.7.4‑cp34‑cp34m‑win_amd64.whl
    • marisa_trie‑0.7.4‑cp35‑cp35m‑win32.whl
    • marisa_trie‑0.7.4‑cp35‑cp35m‑win_amd64.whl
    • marisa_trie‑0.7.4‑cp36‑cp36m‑win32.whl
    • marisa_trie‑0.7.4‑cp36‑cp36m‑win_amd64.whl
  • MarkupSafe implements a XML/HTML/XHTML Markup safe string.
    • MarkupSafe‑1.0‑cp27‑cp27m‑win32.whl
    • MarkupSafe‑1.0‑cp27‑cp27m‑win_amd64.whl
    • MarkupSafe‑1.0‑cp34‑cp34m‑win32.whl
    • MarkupSafe‑1.0‑cp34‑cp34m‑win_amd64.whl
    • MarkupSafe‑1.0‑cp35‑cp35m‑win32.whl
    • MarkupSafe‑1.0‑cp35‑cp35m‑win_amd64.whl
    • MarkupSafe‑1.0‑cp36‑cp36m‑win32.whl
    • MarkupSafe‑1.0‑cp36‑cp36m‑win_amd64.whl
  • Mathutils provide access to matrices, Eulers, quaternions and vectors.
    • mathutils‑2.78‑cp35‑cp35m‑win32.whl
    • mathutils‑2.78‑cp35‑cp35m‑win_amd64.whl
    • mathutils‑2.78‑cp36‑cp36m‑win32.whl
    • mathutils‑2.78‑cp36‑cp36m‑win_amd64.whl
  • Matplotlib, a 2D plotting library.
    Requires numpy, dateutil, pytz, pyparsing, cycler, setuptools, and optionally pillow,pycairo,tornado,wxpython, pyside, pyqt4, ghostscript, miktex, ffmpeg, mencoder, avconv, or imagemagick.
    • matplotlib‑2.1.0‑cp27‑cp27m‑win32.whl
    • matplotlib‑2.1.0‑cp27‑cp27m‑win_amd64.whl
    • matplotlib‑2.1.0‑cp34‑cp34m‑win32.whl
    • matplotlib‑2.1.0‑cp34‑cp34m‑win_amd64.whl
    • matplotlib‑2.1.0‑cp35‑cp35m‑win32.whl
    • matplotlib‑2.1.0‑cp35‑cp35m‑win_amd64.whl
    • matplotlib‑2.1.0‑cp36‑cp36m‑win32.whl
    • matplotlib‑2.1.0‑cp36‑cp36m‑win_amd64.whl
    • matplotlib‑2.1.0.chm
    • matplotlib‑2.x‑windows‑link‑libraries.zip
    • matplotlib_tests‑2.1.0‑py2.py3‑none‑any.whl
  • Mayavi, 3D visualization of scientific data.
    Part of the Enthought Tool Suite.
    Requires VTK.
    • mayavi‑4.3.1+vtk510‑cp27‑none‑win32.whl
    • mayavi‑4.3.1+vtk510‑cp27‑none‑win_amd64.whl
    • mayavi‑4.5.0+vtk71‑cp27‑cp27m‑win32.whl
    • mayavi‑4.5.0+vtk71‑cp27‑cp27m‑win_amd64.whl
    • mayavi‑4.5.0+vtk71‑cp34‑cp34m‑win32.whl
    • mayavi‑4.5.0+vtk71‑cp34‑cp34m‑win_amd64.whl
    • mayavi‑4.5.0+vtk71‑cp35‑cp35m‑win32.whl
    • mayavi‑4.5.0+vtk71‑cp35‑cp35m‑win_amd64.whl
    • mayavi‑4.5.0+vtk71‑cp36‑cp36m‑win32.whl
    • mayavi‑4.5.0+vtk71‑cp36‑cp36m‑win_amd64.whl
  • Menpo, a framework for manipulating annotated data.
    • menpo‑0.8.1‑cp27‑cp27m‑win32.whl
    • menpo‑0.8.1‑cp27‑cp27m‑win_amd64.whl
    • menpo‑0.8.1‑cp34‑cp34m‑win32.whl
    • menpo‑0.8.1‑cp34‑cp34m‑win_amd64.whl
    • menpo‑0.8.1‑cp35‑cp35m‑win32.whl
    • menpo‑0.8.1‑cp35‑cp35m‑win_amd64.whl
    • menpo‑0.8.1‑cp36‑cp36m‑win32.whl
    • menpo‑0.8.1‑cp36‑cp36m‑win_amd64.whl
  • Mercurial, a fast scalable distributed SCM (revision control, version control) system.
    • mercurial‑4.3.3‑cp27‑cp27m‑win32.whl
    • mercurial‑4.3.3‑cp27‑cp27m‑win_amd64.whl
  • MeshPy offers quality triangular and tetrahedral mesh generation.
    • MeshPy‑2016.1.2‑cp27‑cp27m‑win32.whl
    • MeshPy‑2016.1.2‑cp27‑cp27m‑win_amd64.whl
    • MeshPy‑2016.1.2‑cp34‑cp34m‑win32.whl
    • MeshPy‑2016.1.2‑cp34‑cp34m‑win_amd64.whl
    • MeshPy‑2016.1.2‑cp35‑cp35m‑win32.whl
    • MeshPy‑2016.1.2‑cp35‑cp35m‑win_amd64.whl
    • MeshPy‑2016.1.2‑cp36‑cp36m‑win32.whl
    • MeshPy‑2016.1.2‑cp36‑cp36m‑win_amd64.whl
  • Milk, a machine learning toolkit.
    • milk‑0.6.1‑cp27‑cp27m‑win32.whl
    • milk‑0.6.1‑cp27‑cp27m‑win_amd64.whl
    • milk‑0.6.1‑cp34‑cp34m‑win32.whl
    • milk‑0.6.1‑cp34‑cp34m‑win_amd64.whl
    • milk‑0.6.1‑cp35‑cp35m‑win32.whl
    • milk‑0.6.1‑cp35‑cp35m‑win_amd64.whl
    • milk‑0.6.1‑cp36‑cp36m‑win32.whl
    • milk‑0.6.1‑cp36‑cp36m‑win_amd64.whl
    • milksets‑0.2‑py2.py3‑none‑any.whl
  • Minepy, maximal information-based nonparametric exploration.
    • minepy‑1.2.1‑cp27‑cp27m‑win32.whl
    • minepy‑1.2.1‑cp27‑cp27m‑win_amd64.whl
    • minepy‑1.2.1‑cp34‑cp34m‑win32.whl
    • minepy‑1.2.1‑cp34‑cp34m‑win_amd64.whl
    • minepy‑1.2.1‑cp35‑cp35m‑win32.whl
    • minepy‑1.2.1‑cp35‑cp35m‑win_amd64.whl
    • minepy‑1.2.1‑cp36‑cp36m‑win32.whl
    • minepy‑1.2.1‑cp36‑cp36m‑win_amd64.whl
  • Mistune, the fastest markdown parser in pure Python.
    • mistune‑0.7.4‑cp27‑cp27m‑win32.whl
    • mistune‑0.7.4‑cp27‑cp27m‑win_amd64.whl
    • mistune‑0.7.4‑cp34‑cp34m‑win32.whl
    • mistune‑0.7.4‑cp34‑cp34m‑win_amd64.whl
    • mistune‑0.7.4‑cp35‑cp35m‑win32.whl
    • mistune‑0.7.4‑cp35‑cp35m‑win_amd64.whl
    • mistune‑0.7.4‑cp36‑cp36m‑win32.whl
    • mistune‑0.7.4‑cp36‑cp36m‑win_amd64.whl
  • MKL-service, bindings to some MKL service functions.
    Requires numpy+mkl.
    • mkl_service‑1.1.2‑cp34‑cp34m‑win32.whl
    • mkl_service‑1.1.2‑cp34‑cp34m‑win_amd64.whl
    • mkl_service‑1.1.2‑cp35‑cp35m‑win32.whl
    • mkl_service‑1.1.2‑cp35‑cp35m‑win_amd64.whl
    • mkl_service‑1.1.2‑cp36‑cp36m‑win32.whl
    • mkl_service‑1.1.2‑cp36‑cp36m‑win_amd64.whl
  • Mlpy, a module for machine learning.
    • mlpy‑3.5.0‑cp27‑cp27m‑win32.whl
    • mlpy‑3.5.0‑cp27‑cp27m‑win_amd64.whl
    • mlpy‑3.5.0‑cp34‑cp34m‑win32.whl
    • mlpy‑3.5.0‑cp34‑cp34m‑win_amd64.whl
    • mlpy‑3.5.0‑cp35‑cp35m‑win32.whl
    • mlpy‑3.5.0‑cp35‑cp35m‑win_amd64.whl
    • mlpy‑3.5.0‑cp36‑cp36m‑win32.whl
    • mlpy‑3.5.0‑cp36‑cp36m‑win_amd64.whl
  • mmLib, the Python Macromolecular Library.
    • pymmlib‑1.2.1‑cp27‑none‑win32.whl
    • pymmlib‑1.2.1‑cp27‑none‑win_amd64.whl
  • MMTK (Molecular Modelling Toolkit), a library for molecular simulation applications.
    • MMTK‑2.7.9‑cp27‑none‑win32.whl
    • MMTK‑2.7.9‑cp27‑none‑win_amd64.whl
  • Mod_wsgi, aWSGI adapter module for the Apache HTTP Server 2.x.
    Linked against the VC10, and VC14 binaries from Apache Lounge and VC9 binaries from Apache House.
    See Running mod_wsgi on Windows for version (in)compatibilities.
    • mod_wsgi‑4.5.19+ap24vc10‑cp34‑cp34m‑win32.whl
    • mod_wsgi‑4.5.19+ap24vc10‑cp34‑cp34m‑win_amd64.whl
    • mod_wsgi‑4.5.19+ap24vc14‑cp35‑cp35m‑win32.whl
    • mod_wsgi‑4.5.19+ap24vc14‑cp35‑cp35m‑win_amd64.whl
    • mod_wsgi‑4.5.19+ap24vc14‑cp36‑cp36m‑win32.whl
    • mod_wsgi‑4.5.19+ap24vc14‑cp36‑cp36m‑win_amd64.whl
    • mod_wsgi‑4.5.19+ap24vc9‑cp27‑cp27m‑win32.whl
    • mod_wsgi‑4.5.19+ap24vc9‑cp27‑cp27m‑win_amd64.whl
  • ModernGL, modern OpenGL bindings.
    • ModernGL‑4.2.0‑cp34‑cp34m‑win32.whl
    • ModernGL‑4.2.0‑cp34‑cp34m‑win_amd64.whl
    • ModernGL‑4.2.0‑cp35‑cp35m‑win32.whl
    • ModernGL‑4.2.0‑cp35‑cp35m‑win_amd64.whl
    • ModernGL‑4.2.0‑cp36‑cp36m‑win32.whl
    • ModernGL‑4.2.0‑cp36‑cp36m‑win_amd64.whl
  • Mpi4py provides bindings of the Message Passing Interface (MPI) standard.
    Requires Microsoft MPI v8.1.
    • mpi4py‑2.0.0‑cp27‑cp27m‑win32.whl
    • mpi4py‑2.0.0‑cp27‑cp27m‑win_amd64.whl
    • mpi4py‑2.0.0‑cp34‑cp34m‑win32.whl
    • mpi4py‑2.0.0‑cp34‑cp34m‑win_amd64.whl
    • mpi4py‑2.0.0‑cp35‑cp35m‑win32.whl
    • mpi4py‑2.0.0‑cp35‑cp35m‑win_amd64.whl
    • mpi4py‑2.0.0‑cp36‑cp36m‑win32.whl
    • mpi4py‑2.0.0‑cp36‑cp36m‑win_amd64.whl
  • Msgpack, MessagePack, an efficient binary serialization format.
    • msgpack_python‑0.4.8‑cp27‑cp27m‑win32.whl
    • msgpack_python‑0.4.8‑cp27‑cp27m‑win_amd64.whl
    • msgpack_python‑0.4.8‑cp34‑cp34m‑win32.whl
    • msgpack_python‑0.4.8‑cp34‑cp34m‑win_amd64.whl
    • msgpack_python‑0.4.8‑cp35‑cp35m‑win32.whl
    • msgpack_python‑0.4.8‑cp35‑cp35m‑win_amd64.whl
    • msgpack_python‑0.4.8‑cp36‑cp36m‑win32.whl
    • msgpack_python‑0.4.8‑cp36‑cp36m‑win_amd64.whl
  • Multidict, a dict that may have several values for the same key.
    • multidict‑3.3.0‑cp34‑cp34m‑win32.whl
    • multidict‑3.3.0‑cp34‑cp34m‑win_amd64.whl
    • multidict‑3.3.0‑cp35‑cp35m‑win32.whl
    • multidict‑3.3.0‑cp35‑cp35m‑win_amd64.whl
    • multidict‑3.3.0‑cp36‑cp36m‑win32.whl
    • multidict‑3.3.0‑cp36‑cp36m‑win_amd64.whl
  • MultiNEAT, a portable neuroevolution library.
    • MultiNEAT‑0.3‑cp27‑cp27m‑win32.whl
    • MultiNEAT‑0.3‑cp27‑cp27m‑win_amd64.whl
    • MultiNEAT‑0.3‑cp34‑cp34m‑win32.whl
    • MultiNEAT‑0.3‑cp34‑cp34m‑win_amd64.whl
    • MultiNEAT‑0.3‑cp35‑cp35m‑win32.whl
    • MultiNEAT‑0.3‑cp35‑cp35m‑win_amd64.whl
    • MultiNEAT‑0.3‑cp36‑cp36m‑win32.whl
    • MultiNEAT‑0.3‑cp36‑cp36m‑win_amd64.whl
  • Multiprocess, better multiprocessing and multithreading.
    • multiprocess‑0.70.5‑cp27‑cp27m‑win32.whl
    • multiprocess‑0.70.5‑cp27‑cp27m‑win_amd64.whl
    • multiprocess‑0.70.5‑cp34‑cp34m‑win32.whl
    • multiprocess‑0.70.5‑cp34‑cp34m‑win_amd64.whl
    • multiprocess‑0.70.5‑cp35‑cp35m‑win32.whl
    • multiprocess‑0.70.5‑cp35‑cp35m‑win_amd64.whl
    • multiprocess‑0.70.5‑cp36‑cp36m‑win32.whl
    • multiprocess‑0.70.5‑cp36‑cp36m‑win_amd64.whl
  • mxBase contains packages such as mxDateTime, mxTextTools, mxTools, etc.
    • egenix_mx_base‑3.2.9‑cp27‑none‑win32.whl
    • egenix_mx_base‑3.2.9‑cp27‑none‑win_amd64.whl
  • MySQL-python, a Python database API 2.0 interface for theMySQL database
    Consider mysqlclient, a Python 3 compatible fork of MySQL-python.
    • MySQL_python‑1.2.5‑cp27‑none‑win32.whl
    • MySQL_python‑1.2.5‑cp27‑none‑win_amd64.whl
  • Mysqlclient, a fork of theMySQL-python interface for the MySQL database.
    • mysqlclient‑1.3.12‑cp27‑cp27m‑win32.whl
    • mysqlclient‑1.3.12‑cp27‑cp27m‑win_amd64.whl
    • mysqlclient‑1.3.12‑cp34‑cp34m‑win32.whl
    • mysqlclient‑1.3.12‑cp34‑cp34m‑win_amd64.whl
    • mysqlclient‑1.3.12‑cp35‑cp35m‑win32.whl
    • mysqlclient‑1.3.12‑cp35‑cp35m‑win_amd64.whl
    • mysqlclient‑1.3.12‑cp36‑cp36m‑win32.whl
    • mysqlclient‑1.3.12‑cp36‑cp36m‑win_amd64.whl
  • Natgrid, an interface to the natgrid C library for gridding irregularly spaced data.
    • natgrid‑0.2.1‑cp27‑cp27m‑win32.whl
    • natgrid‑0.2.1‑cp27‑cp27m‑win_amd64.whl
    • natgrid‑0.2.1‑cp34‑cp34m‑win32.whl
    • natgrid‑0.2.1‑cp34‑cp34m‑win_amd64.whl
    • natgrid‑0.2.1‑cp35‑cp35m‑win32.whl
    • natgrid‑0.2.1‑cp35‑cp35m‑win_amd64.whl
    • natgrid‑0.2.1‑cp36‑cp36m‑win32.whl
    • natgrid‑0.2.1‑cp36‑cp36m‑win_amd64.whl
  • NetCDF4 reads and writesNetCDF andHDF5 files.
    • netCDF4‑1.1.7+numpy16‑cp27‑none‑win32.whl
    • netCDF4‑1.1.7+numpy16‑cp27‑none‑win_amd64.whl
    • netCDF4‑1.3.0‑cp27‑cp27m‑win32.whl
    • netCDF4‑1.3.0‑cp27‑cp27m‑win_amd64.whl
    • netCDF4‑1.3.0‑cp34‑cp34m‑win32.whl
    • netCDF4‑1.3.0‑cp34‑cp34m‑win_amd64.whl
    • netCDF4‑1.3.0‑cp35‑cp35m‑win32.whl
    • netCDF4‑1.3.0‑cp35‑cp35m‑win_amd64.whl
    • netCDF4‑1.3.0‑cp36‑cp36m‑win32.whl
    • netCDF4‑1.3.0‑cp36‑cp36m‑win_amd64.whl
  • Netifaces, portable network interface information.
    • netifaces‑0.10.6‑cp27‑cp27m‑win32.whl
    • netifaces‑0.10.6‑cp27‑cp27m‑win_amd64.whl
    • netifaces‑0.10.6‑cp34‑cp34m‑win32.whl
    • netifaces‑0.10.6‑cp34‑cp34m‑win_amd64.whl
    • netifaces‑0.10.6‑cp35‑cp35m‑win32.whl
    • netifaces‑0.10.6‑cp35‑cp35m‑win_amd64.whl
    • netifaces‑0.10.6‑cp36‑cp36m‑win32.whl
    • netifaces‑0.10.6‑cp36‑cp36m‑win_amd64.whl
  • NIPY is for analysis of structural and functional neuroimaging data.
    Requires numpy+mkl.
    • nipy‑0.4.1‑cp27‑cp27m‑win32.whl
    • nipy‑0.4.1‑cp27‑cp27m‑win_amd64.whl
    • nipy‑0.4.1‑cp34‑cp34m‑win32.whl
    • nipy‑0.4.1‑cp34‑cp34m‑win_amd64.whl
    • nipy‑0.4.1‑cp35‑cp35m‑win32.whl
    • nipy‑0.4.1‑cp35‑cp35m‑win_amd64.whl
    • nipy‑0.4.1‑cp36‑cp36m‑win32.whl
    • nipy‑0.4.1‑cp36‑cp36m‑win_amd64.whl
  • NiTime, a library for time-series analysis of data from neuroscience experiments.
    • nitime‑0.7‑cp27‑cp27m‑win32.whl
    • nitime‑0.7‑cp27‑cp27m‑win_amd64.whl
    • nitime‑0.7‑cp34‑cp34m‑win32.whl
    • nitime‑0.7‑cp34‑cp34m‑win_amd64.whl
    • nitime‑0.7‑cp35‑cp35m‑win32.whl
    • nitime‑0.7‑cp35‑cp35m‑win_amd64.whl
    • nitime‑0.7‑cp36‑cp36m‑win32.whl
    • nitime‑0.7‑cp36‑cp36m‑win_amd64.whl
  • NLopt, a library for nonlinear optimization.
    • NLopt‑2.4.2‑cp27‑cp27m‑win32.whl
    • NLopt‑2.4.2‑cp27‑cp27m‑win_amd64.whl
    • NLopt‑2.4.2‑cp34‑cp34m‑win32.whl
    • NLopt‑2.4.2‑cp34‑cp34m‑win_amd64.whl
    • NLopt‑2.4.2‑cp35‑cp35m‑win32.whl
    • NLopt‑2.4.2‑cp35‑cp35m‑win_amd64.whl
    • NLopt‑2.4.2‑cp36‑cp36m‑win32.whl
    • NLopt‑2.4.2‑cp36‑cp36m‑win_amd64.whl
  • nMOLDYN, an interactive analysis program for Molecular Dynamics simulations.
    • nMOLDYN‑3.0.10‑cp27‑none‑win32.whl
    • nMOLDYN‑3.0.10‑cp27‑none‑win_amd64.whl
  • Noise generates Perlin/simplex noise.
    • noise‑1.2.2‑cp27‑none‑win32.whl
    • noise‑1.2.2‑cp27‑none‑win_amd64.whl
    • noise‑1.2.2‑cp34‑none‑win32.whl
    • noise‑1.2.2‑cp34‑none‑win_amd64.whl
    • noise‑1.2.2‑cp35‑none‑win32.whl
    • noise‑1.2.2‑cp35‑none‑win_amd64.whl
    • noise‑1.2.2‑cp36‑cp36m‑win32.whl
    • noise‑1.2.2‑cp36‑cp36m‑win_amd64.whl
  • Numba, a NumPy aware dynamic compiler.
    Requires numpy+mkl and llvmlite.
    • numba‑0.35.0+tbb‑cp35‑cp35m‑win_amd64.whl
    • numba‑0.35.0+tbb‑cp36‑cp36m‑win_amd64.whl
    • numba‑0.35.0‑cp27‑cp27m‑win32.whl
    • numba‑0.35.0‑cp27‑cp27m‑win_amd64.whl
    • numba‑0.35.0‑cp34‑cp34m‑win32.whl
    • numba‑0.35.0‑cp34‑cp34m‑win_amd64.whl
    • numba‑0.35.0‑cp35‑cp35m‑win32.whl
    • numba‑0.35.0‑cp35‑cp35m‑win_amd64.whl
    • numba‑0.35.0‑cp36‑cp36m‑win32.whl
    • numba‑0.35.0‑cp36‑cp36m‑win_amd64.whl
  • Numexpr, a fast numerical array expression evaluator.
    Requires numpy+mkl.
    • numexpr‑2.6.4‑cp27‑cp27m‑win32.whl
    • numexpr‑2.6.4‑cp27‑cp27m‑win_amd64.whl
    • numexpr‑2.6.4‑cp34‑cp34m‑win32.whl
    • numexpr‑2.6.4‑cp34‑cp34m‑win_amd64.whl
    • numexpr‑2.6.4‑cp35‑cp35m‑win32.whl
    • numexpr‑2.6.4‑cp35‑cp35m‑win_amd64.whl
    • numexpr‑2.6.4‑cp36‑cp36m‑win32.whl
    • numexpr‑2.6.4‑cp36‑cp36m‑win_amd64.whl
  • NumPy, a fundamental package needed for scientific computing with Python.
    Numpy+MKL is linked to the Intel® Math Kernel Library and includes required DLLs in the numpy.core directory.
    • numpy‑1.13.3+mkl‑cp27‑cp27m‑win32.whl
    • numpy‑1.13.3+mkl‑cp27‑cp27m‑win_amd64.whl
    • numpy‑1.13.3+mkl‑cp34‑cp34m‑win32.whl
    • numpy‑1.13.3+mkl‑cp34‑cp34m‑win_amd64.whl
    • numpy‑1.13.3+mkl‑cp35‑cp35m‑win32.whl
    • numpy‑1.13.3+mkl‑cp35‑cp35m‑win_amd64.whl
    • numpy‑1.13.3+mkl‑cp36‑cp36m‑win32.whl
    • numpy‑1.13.3+mkl‑cp36‑cp36m‑win_amd64.whl
  • ObsPy, a framework for processing seismological data.
    • obspy‑1.0.3‑cp27‑cp27m‑win32.whl
    • obspy‑1.0.3‑cp27‑cp27m‑win_amd64.whl
    • obspy‑1.0.3‑cp34‑cp34m‑win32.whl
    • obspy‑1.0.3‑cp34‑cp34m‑win_amd64.whl
    • obspy‑1.0.3‑cp35‑cp35m‑win32.whl
    • obspy‑1.0.3‑cp35‑cp35m‑win_amd64.whl
    • obspy‑1.0.3‑cp36‑cp36m‑win32.whl
    • obspy‑1.0.3‑cp36‑cp36m‑win_amd64.whl
  • ODE, the Open Dynamics Engine, a high performance library for simulating rigid body dynamics.
    • ode‑0.15.2‑cp27‑cp27m‑win32.whl
    • ode‑0.15.2‑cp27‑cp27m‑win_amd64.whl
    • ode‑0.15.2‑cp34‑cp34m‑win_amd64.whl
    • ode‑0.15.2‑cp35‑cp35m‑win32.whl
    • ode‑0.15.2‑cp35‑cp35m‑win_amd64.whl
    • ode‑0.15.2‑cp36‑cp36m‑win32.whl
    • ode‑0.15.2‑cp36‑cp36m‑win_amd64.whl
  • OpenBabel, the open source chemistry toolbox.
    • openbabel‑2.4.1‑cp27‑cp27m‑win32.whl
    • openbabel‑2.4.1‑cp27‑cp27m‑win_amd64.whl
    • openbabel‑2.4.1‑cp34‑cp34m‑win32.whl
    • openbabel‑2.4.1‑cp34‑cp34m‑win_amd64.whl
    • openbabel‑2.4.1‑cp35‑cp35m‑win32.whl
    • openbabel‑2.4.1‑cp35‑cp35m‑win_amd64.whl
    • openbabel‑2.4.1‑cp36‑cp36m‑win32.whl
    • openbabel‑2.4.1‑cp36‑cp36m‑win_amd64.whl
  • OpenCV, a real time computer vision library.
    • opencv_python‑2.4.13.2‑cp27‑cp27m‑win32.whl
    • opencv_python‑2.4.13.2‑cp27‑cp27m‑win_amd64.whl
    • opencv_python‑3.1.0‑cp27‑cp27m‑win32.whl
    • opencv_python‑3.1.0‑cp27‑cp27m‑win_amd64.whl
    • opencv_python‑3.1.0‑cp34‑cp34m‑win32.whl
    • opencv_python‑3.1.0‑cp34‑cp34m‑win_amd64.whl
    • opencv_python‑3.3.0+contrib‑cp35‑cp35m‑win32.whl
    • opencv_python‑3.3.0+contrib‑cp35‑cp35m‑win_amd64.whl
    • opencv_python‑3.3.0+contrib‑cp36‑cp36m‑win32.whl
    • opencv_python‑3.3.0+contrib‑cp36‑cp36m‑win_amd64.whl
    • opencv_python‑3.3.0‑cp35‑cp35m‑win32.whl
    • opencv_python‑3.3.0‑cp35‑cp35m‑win_amd64.whl
    • opencv_python‑3.3.0‑cp36‑cp36m‑win32.whl
    • opencv_python‑3.3.0‑cp36‑cp36m‑win_amd64.whl
  • OpenEXR are bindings for ILM'sOpenEXR image file format.
    • OpenEXR‑1.2.0‑cp27‑none‑win32.whl
    • OpenEXR‑1.2.0‑cp27‑none‑win_amd64.whl
    • OpenEXR‑1.3.0‑cp27‑cp27m‑win32.whl
    • OpenEXR‑1.3.0‑cp27‑cp27m‑win_amd64.whl
    • OpenEXR‑1.3.0‑cp34‑cp34m‑win32.whl
    • OpenEXR‑1.3.0‑cp34‑cp34m‑win_amd64.whl
    • OpenEXR‑1.3.0‑cp35‑cp35m‑win32.whl
    • OpenEXR‑1.3.0‑cp35‑cp35m‑win_amd64.whl
    • OpenEXR‑1.3.0‑cp36‑cp36m‑win32.whl
    • OpenEXR‑1.3.0‑cp36‑cp36m‑win_amd64.whl
  • OpenImageIO, a library for reading and writing images with emphasis on animation and visual effects.
    Includes OpenColorIO.
    • OpenImageIO‑1.5.22‑bin‑vc9‑x64.zip
    • OpenImageIO‑1.5.22‑cp27‑none‑win32.whl
    • OpenImageIO‑1.5.22‑cp27‑none‑win_amd64.whl
    • OpenImageIO‑1.6.18‑bin‑vc9‑x64.zip
    • OpenImageIO‑1.6.18‑cp27‑cp27m‑win32.whl
    • OpenImageIO‑1.6.18‑cp27‑cp27m‑win_amd64.whl
  • OpenPIV, a package for Particle Image Velocimetry (PIV).
    • OpenPIV‑0.20.8‑cp27‑cp27m‑win32.whl
    • OpenPIV‑0.20.8‑cp27‑cp27m‑win_amd64.whl
    • OpenPIV‑0.20.8‑cp34‑cp34m‑win32.whl
    • OpenPIV‑0.20.8‑cp34‑cp34m‑win_amd64.whl
    • OpenPIV‑0.20.8‑cp35‑cp35m‑win32.whl
    • OpenPIV‑0.20.8‑cp35‑cp35m‑win_amd64.whl
    • OpenPIV‑0.20.8‑cp36‑cp36m‑win32.whl
    • OpenPIV‑0.20.8‑cp36‑cp36m‑win_amd64.whl
  • Orange, a machine learning and interactive data mining toolbox.
    Requires pyqt4, pyqwt, and networkx.
    • Orange‑2.7.8‑cp27‑cp27m‑win32.whl
    • Orange‑2.7.8‑cp27‑cp27m‑win_amd64.whl
    • Orange3‑3.6.0‑cp34‑cp34m‑win32.whl
    • Orange3‑3.6.0‑cp34‑cp34m‑win_amd64.whl
    • Orange3‑3.6.0‑cp35‑cp35m‑win32.whl
    • Orange3‑3.6.0‑cp35‑cp35m‑win_amd64.whl
    • Orange3‑3.6.0‑cp36‑cp36m‑win32.whl
    • Orange3‑3.6.0‑cp36‑cp36m‑win_amd64.whl
    • Orange_Text‑1.2a1‑cp27‑none‑win32.whl
    • Orange_Text‑1.2a1‑cp27‑none‑win_amd64.whl
  • Oursql, a set of bindings for theMySQL database.
    • oursql‑0.9.3.1‑cp27‑none‑win32.whl
    • oursql‑0.9.3.1‑cp27‑none‑win_amd64.whl
    • oursql‑0.9.4‑cp34‑none‑win32.whl
    • oursql‑0.9.4‑cp34‑none‑win_amd64.whl
  • Pandas, a cross-section and time series data analysis toolkit.
    Requires numpy, dateutil, pytz, setuptools, and optionally numexpr, bottleneck,scipy,matplotlib,pytables,lxml,xarray, blosc, backports.lzma,statsmodels,sqlalchemy and otherdependencies.
    • pandas‑0.20.3‑cp27‑cp27m‑win32.whl
    • pandas‑0.20.3‑cp27‑cp27m‑win_amd64.whl
    • pandas‑0.20.3‑cp34‑cp34m‑win32.whl
    • pandas‑0.20.3‑cp34‑cp34m‑win_amd64.whl
    • pandas‑0.20.3‑cp35‑cp35m‑win32.whl
    • pandas‑0.20.3‑cp35‑cp35m‑win_amd64.whl
    • pandas‑0.20.3‑cp36‑cp36m‑win32.whl
    • pandas‑0.20.3‑cp36‑cp36m‑win_amd64.whl
    • pandas‑0.21.0rc1‑cp27‑cp27m‑win32.whl
    • pandas‑0.21.0rc1‑cp27‑cp27m‑win_amd64.whl
    • pandas‑0.21.0rc1‑cp34‑cp34m‑win32.whl
    • pandas‑0.21.0rc1‑cp34‑cp34m‑win_amd64.whl
    • pandas‑0.21.0rc1‑cp35‑cp35m‑win32.whl
    • pandas‑0.21.0rc1‑cp35‑cp35m‑win_amd64.whl
    • pandas‑0.21.0rc1‑cp36‑cp36m‑win32.whl
    • pandas‑0.21.0rc1‑cp36‑cp36m‑win_amd64.whl
  • Param provides Parameters.
    • param‑1.5.1‑cp27‑cp27m‑win32.whl
    • param‑1.5.1‑cp27‑cp27m‑win_amd64.whl
    • param‑1.5.1‑cp34‑cp34m‑win32.whl
    • param‑1.5.1‑cp34‑cp34m‑win_amd64.whl
    • param‑1.5.1‑cp35‑cp35m‑win32.whl
    • param‑1.5.1‑cp35‑cp35m‑win_amd64.whl
    • param‑1.5.1‑cp36‑cp36m‑win32.whl
    • param‑1.5.1‑cp36‑cp36m‑win_amd64.whl
  • Peewee, a small, expressive ORM.
    • peewee‑2.10.2‑cp27‑cp27m‑win32.whl
    • peewee‑2.10.2‑cp27‑cp27m‑win_amd64.whl
    • peewee‑2.10.2‑cp34‑cp34m‑win32.whl
    • peewee‑2.10.2‑cp34‑cp34m‑win_amd64.whl
    • peewee‑2.10.2‑cp35‑cp35m‑win32.whl
    • peewee‑2.10.2‑cp35‑cp35m‑win_amd64.whl
    • peewee‑2.10.2‑cp36‑cp36m‑win32.whl
    • peewee‑2.10.2‑cp36‑cp36m‑win_amd64.whl
  • Persistent, translucent persistent objects.
    • persistent‑4.2.4.1‑cp27‑cp27m‑win32.whl
    • persistent‑4.2.4.1‑cp27‑cp27m‑win_amd64.whl
    • persistent‑4.2.4.1‑cp34‑cp34m‑win32.whl
    • persistent‑4.2.4.1‑cp34‑cp34m‑win_amd64.whl
    • persistent‑4.2.4.1‑cp35‑cp35m‑win32.whl
    • persistent‑4.2.4.1‑cp35‑cp35m‑win_amd64.whl
    • persistent‑4.2.4.1‑cp36‑cp36m‑win32.whl
    • persistent‑4.2.4.1‑cp36‑cp36m‑win_amd64.whl
  • Pgmagick is yet another wrapper forGraphicsMagick.
    • pgmagick‑0.6.5‑cp27‑cp27m‑win32.whl
    • pgmagick‑0.6.5‑cp27‑cp27m‑win_amd64.whl
    • pgmagick‑0.6.5‑cp34‑cp34m‑win32.whl
    • pgmagick‑0.6.5‑cp34‑cp34m‑win_amd64.whl
    • pgmagick‑0.6.5‑cp35‑cp35m‑win32.whl
    • pgmagick‑0.6.5‑cp35‑cp35m‑win_amd64.whl
    • pgmagick‑0.6.5‑cp36‑cp36m‑win32.whl
    • pgmagick‑0.6.5‑cp36‑cp36m‑win_amd64.whl
  • Pillow, a replacement forPIL, the Python Image Library, which provides image processing functionality and supports many file formats.
    Use `from PIL import Image` instead of `import Image`.
    • PIL‑2.0+dummy‑py2.py3‑none‑any.whl
    • Pillow‑3.4.2‑cp36‑cp36m‑win32.whl
    • Pillow‑3.4.2‑cp36‑cp36m‑win_amd64.whl
    • Pillow‑4.3.0‑cp27‑cp27m‑win32.whl
    • Pillow‑4.3.0‑cp27‑cp27m‑win_amd64.whl
    • Pillow‑4.3.0‑cp34‑cp34m‑win32.whl
    • Pillow‑4.3.0‑cp34‑cp34m‑win_amd64.whl
    • Pillow‑4.3.0‑cp35‑cp35m‑win32.whl
    • Pillow‑4.3.0‑cp35‑cp35m‑win_amd64.whl
    • Pillow‑4.3.0‑cp36‑cp36m‑win32.whl
    • Pillow‑4.3.0‑cp36‑cp36m‑win_amd64.whl
    • Pillow‑4.3.0‑pp258‑pypy_41‑win32.whl
  • Pillow-SIMD, a fork ofPillow with SIMD optimizations.
    • Pillow_SIMD‑4.3.0.post0‑cp35‑cp35m‑win32.whl
    • Pillow_SIMD‑4.3.0.post0‑cp35‑cp35m‑win_amd64.whl
    • Pillow_SIMD‑4.3.0.post0‑cp36‑cp36m‑win32.whl
    • Pillow_SIMD‑4.3.0.post0‑cp36‑cp36m‑win_amd64.whl
  • Pip is the recommended tool for installing Python packages.
    Pip and setuptools are included with Python >=3.4 and >=2.7.9.
    To bootstrap pip on installations without pip, use the get-pip.py script or run
    python.exe pip-9.0.1-py2.py3-none-any.whl/pip install pip-9.0.1-py2.py3-none-any.whl.
    • pip‑9.0.1‑py2.py3‑none‑any.whl
  • Planar, a 2D planar geometry library.
    • planar‑0.4‑cp27‑cp27m‑win32.whl
    • planar‑0.4‑cp27‑cp27m‑win_amd64.whl
    • planar‑0.4‑cp34‑cp34m‑win32.whl
    • planar‑0.4‑cp34‑cp34m‑win_amd64.whl
    • planar‑0.4‑cp35‑cp35m‑win32.whl
    • planar‑0.4‑cp35‑cp35m‑win_amd64.whl
    • planar‑0.4‑cp36‑cp36m‑win32.whl
    • planar‑0.4‑cp36‑cp36m‑win_amd64.whl
  • Pocketsphinx, an interface to the CMU SphinxBase and PocketSphinx libraries.
    • pocketsphinx‑0.1.3‑cp27‑cp27m‑win32.whl
    • pocketsphinx‑0.1.3‑cp27‑cp27m‑win_amd64.whl
    • pocketsphinx‑0.1.3‑cp34‑cp34m‑win32.whl
    • pocketsphinx‑0.1.3‑cp34‑cp34m‑win_amd64.whl
    • pocketsphinx‑0.1.3‑cp35‑cp35m‑win32.whl
    • pocketsphinx‑0.1.3‑cp35‑cp35m‑win_amd64.whl
    • pocketsphinx‑0.1.3‑cp36‑cp36m‑win32.whl
    • pocketsphinx‑0.1.3‑cp36‑cp36m‑win_amd64.whl
  • Polygon handles polygonal shapes in 2D.
    This library is free for non-commercial use only.
    • Polygon2‑2.0.8‑cp27‑cp27m‑win32.whl
    • Polygon2‑2.0.8‑cp27‑cp27m‑win_amd64.whl
    • Polygon3‑3.0.8‑cp34‑cp34m‑win32.whl
    • Polygon3‑3.0.8‑cp34‑cp34m‑win_amd64.whl
    • Polygon3‑3.0.8‑cp35‑cp35m‑win32.whl
    • Polygon3‑3.0.8‑cp35‑cp35m‑win_amd64.whl
    • Polygon3‑3.0.8‑cp36‑cp36m‑win32.whl
    • Polygon3‑3.0.8‑cp36‑cp36m‑win_amd64.whl
  • Polymode performs modal analysis of microstructured optical fibers.
    Requires numpy+mkl.
    • Polymode‑0.1.2‑cp27‑none‑win32.whl
    • Polymode‑0.1.2‑cp27‑none‑win_amd64.whl
  • Psf, point spread function (PSF) calculations for fluorescence microscopy.
    • psf‑2015.3.19‑cp27‑none‑win32.whl
    • psf‑2015.3.19‑cp27‑none‑win_amd64.whl
    • psf‑2015.3.19‑cp34‑none‑win32.whl
    • psf‑2015.3.19‑cp34‑none‑win_amd64.whl
    • psf‑2015.3.19‑cp35‑none‑win32.whl
    • psf‑2015.3.19‑cp35‑none‑win_amd64.whl
    • psf‑2015.3.19‑cp36‑cp36m‑win32.whl
    • psf‑2015.3.19‑cp36‑cp36m‑win_amd64.whl
  • Psutil provides information on running processes and system utilization.
    • psutil‑5.4.0‑cp27‑cp27m‑win32.whl
    • psutil‑5.4.0‑cp27‑cp27m‑win_amd64.whl
    • psutil‑5.4.0‑cp34‑cp34m‑win32.whl
    • psutil‑5.4.0‑cp34‑cp34m‑win_amd64.whl
    • psutil‑5.4.0‑cp35‑cp35m‑win32.whl
    • psutil‑5.4.0‑cp35‑cp35m‑win_amd64.whl
    • psutil‑5.4.0‑cp36‑cp36m‑win32.whl
    • psutil‑5.4.0‑cp36‑cp36m‑win_amd64.whl
  • Psycopg, aPostgreSQL database adapter.
    • psycopg2‑2.7.3‑cp27‑cp27m‑win32.whl
    • psycopg2‑2.7.3‑cp27‑cp27m‑win_amd64.whl
    • psycopg2‑2.7.3‑cp34‑cp34m‑win32.whl
    • psycopg2‑2.7.3‑cp34‑cp34m‑win_amd64.whl
    • psycopg2‑2.7.3‑cp35‑cp35m‑win32.whl
    • psycopg2‑2.7.3‑cp35‑cp35m‑win_amd64.whl
    • psycopg2‑2.7.3‑cp36‑cp36m‑win32.whl
    • psycopg2‑2.7.3‑cp36‑cp36m‑win_amd64.whl
  • PuLP, an LP modeler using theCoinMP library.
    Requires pyparsing.
    • PuLP‑1.6.8‑cp27‑cp27m‑win32.whl
    • PuLP‑1.6.8‑cp27‑cp27m‑win_amd64.whl
    • PuLP‑1.6.8‑cp34‑cp34m‑win32.whl
    • PuLP‑1.6.8‑cp34‑cp34m‑win_amd64.whl
    • PuLP‑1.6.8‑cp35‑cp35m‑win32.whl
    • PuLP‑1.6.8‑cp35‑cp35m‑win_amd64.whl
    • PuLP‑1.6.8‑cp36‑cp36m‑win32.whl
    • PuLP‑1.6.8‑cp36‑cp36m‑win_amd64.whl
  • Py-earth, an implementation of Jerome Friedman's multivariate adaptive regression splines.
    • py_earth‑0.1.0‑cp27‑cp27m‑win32.whl
    • py_earth‑0.1.0‑cp27‑cp27m‑win_amd64.whl
    • py_earth‑0.1.0‑cp34‑cp34m‑win32.whl
    • py_earth‑0.1.0‑cp34‑cp34m‑win_amd64.whl
    • py_earth‑0.1.0‑cp35‑cp35m‑win32.whl
    • py_earth‑0.1.0‑cp35‑cp35m‑win_amd64.whl
    • py_earth‑0.1.0‑cp36‑cp36m‑win32.whl
    • py_earth‑0.1.0‑cp36‑cp36m‑win_amd64.whl
  • Py-fcm, a library for flow cytometry.
    • fcm‑0.9.6‑cp27‑none‑win32.whl
    • fcm‑0.9.6‑cp27‑none‑win_amd64.whl
  • Py-lmdb, binding for theLMDB Lightning Database.
    • lmdb‑0.93‑cp27‑cp27m‑win32.whl
    • lmdb‑0.93‑cp27‑cp27m‑win_amd64.whl
    • lmdb‑0.93‑cp34‑cp34m‑win32.whl
    • lmdb‑0.93‑cp34‑cp34m‑win_amd64.whl
    • lmdb‑0.93‑cp35‑cp35m‑win32.whl
    • lmdb‑0.93‑cp35‑cp35m‑win_amd64.whl
    • lmdb‑0.93‑cp36‑cp36m‑win32.whl
    • lmdb‑0.93‑cp36‑cp36m‑win_amd64.whl
  • Py2exe converts Python scripts into executable Windows programs.
    • py2exe‑0.6.10a1‑cp27‑none‑win32.whl
    • py2exe‑0.6.10a1‑cp27‑none‑win_amd64.whl
    • py2exe‑0.9.2.2‑cp34‑none‑win32.whl
    • py2exe‑0.9.2.2‑cp34‑none‑win_amd64.whl
  • Py_gd, a wrapper for thelibgd graphics drawing library.
    • py_gd‑0.1.5‑cp27‑cp27m‑win32.whl
    • py_gd‑0.1.5‑cp27‑cp27m‑win_amd64.whl
    • py_gd‑0.1.7.1‑cp27‑cp27m‑win32.whl
    • py_gd‑0.1.7.1‑cp27‑cp27m‑win_amd64.whl
  • PyAlembic provides bindings for theAlembic computer graphics interchange framework.
    Includes OpenEXR PyIlmBase.
    • abcview‑1.0.8‑py2‑none‑any.whl
    • PyAlembic‑1.5.7‑cp27‑none‑win32.whl
    • PyAlembic‑1.5.7‑cp27‑none‑win_amd64.whl
  • PyAMF provides Action Message Format (AMF) support.
    • PyAMF‑0.8.0‑cp27‑none‑win32.whl
    • PyAMF‑0.8.0‑cp27‑none‑win_amd64.whl
  • PyAMG, a library of Algebraic Multigrid (AMG) solvers.
    • pyamg‑2.3.2‑cp27‑none‑win32.whl
    • pyamg‑2.3.2‑cp27‑none‑win_amd64.whl
    • pyamg‑3.3.0‑cp27‑cp27m‑win32.whl
    • pyamg‑3.3.0‑cp27‑cp27m‑win_amd64.whl
    • pyamg‑3.3.0‑cp34‑cp34m‑win32.whl
    • pyamg‑3.3.0‑cp34‑cp34m‑win_amd64.whl
    • pyamg‑3.3.0‑cp35‑cp35m‑win32.whl
    • pyamg‑3.3.0‑cp35‑cp35m‑win_amd64.whl
    • pyamg‑3.3.0‑cp36‑cp36m‑win32.whl
    • pyamg‑3.3.0‑cp36‑cp36m‑win_amd64.whl
  • PyArrow, a columnar in-memory analytics layer designed to accelerate big data.
    • pyarrow‑0.4.1‑cp36‑cp36m‑win_amd64.whl
  • PyAudio provides bindings for thePortAudio library.
    Includes ASIO, DS, WMME, WASAPI, WDMKS support.
    • PyAudio‑0.2.11‑cp27‑cp27m‑win32.whl
    • PyAudio‑0.2.11‑cp27‑cp27m‑win_amd64.whl
    • PyAudio‑0.2.11‑cp34‑cp34m‑win32.whl
    • PyAudio‑0.2.11‑cp34‑cp34m‑win_amd64.whl
    • PyAudio‑0.2.11‑cp35‑cp35m‑win32.whl
    • PyAudio‑0.2.11‑cp35‑cp35m‑win_amd64.whl
    • PyAudio‑0.2.11‑cp36‑cp36m‑win32.whl
    • PyAudio‑0.2.11‑cp36‑cp36m‑win_amd64.whl
  • PyBluez, a wrapper around system Bluetooth resources.
    • PyBluez‑0.22‑cp27‑none‑win32.whl
    • PyBluez‑0.22‑cp27‑none‑win_amd64.whl
    • PyBluez‑0.22‑cp34‑none‑win32.whl
    • PyBluez‑0.22‑cp34‑none‑win_amd64.whl
    • PyBluez‑0.22‑cp35‑none‑win32.whl
    • PyBluez‑0.22‑cp35‑none‑win_amd64.whl
  • PyBox2D, a 2D physics library based onBox2D.
    • Box2D‑2.3.2‑cp27‑cp27m‑win32.whl
    • Box2D‑2.3.2‑cp27‑cp27m‑win_amd64.whl
    • Box2D‑2.3.2‑cp34‑cp34m‑win32.whl
    • Box2D‑2.3.2‑cp34‑cp34m‑win_amd64.whl
    • Box2D‑2.3.2‑cp35‑cp35m‑win32.whl
    • Box2D‑2.3.2‑cp35‑cp35m‑win_amd64.whl
    • Box2D‑2.3.2‑cp36‑cp36m‑win32.whl
    • Box2D‑2.3.2‑cp36‑cp36m‑win_amd64.whl
  • Pycairo, a set of bindings for thecairo graphics library.
    These builds are not compatible with PyGTK andwxPython.
    • pycairo‑1.15.2‑cp27‑cp27m‑win32.whl
    • pycairo‑1.15.2‑cp27‑cp27m‑win_amd64.whl
    • pycairo‑1.15.2‑cp34‑cp34m‑win32.whl
    • pycairo‑1.15.2‑cp34‑cp34m‑win_amd64.whl
    • pycairo‑1.15.2‑cp35‑cp35m‑win32.whl
    • pycairo‑1.15.2‑cp35‑cp35m‑win_amd64.whl
    • pycairo‑1.15.2‑cp36‑cp36m‑win32.whl
    • pycairo‑1.15.2‑cp36‑cp36m‑win_amd64.whl
  • Pycares provides an interface to c-ares.
    • pycares‑2.3.0‑cp27‑cp27m‑win32.whl
    • pycares‑2.3.0‑cp27‑cp27m‑win_amd64.whl
    • pycares‑2.3.0‑cp34‑cp34m‑win32.whl
    • pycares‑2.3.0‑cp34‑cp34m‑win_amd64.whl
    • pycares‑2.3.0‑cp35‑cp35m‑win32.whl
    • pycares‑2.3.0‑cp35‑cp35m‑win_amd64.whl
    • pycares‑2.3.0‑cp36‑cp36m‑win32.whl
    • pycares‑2.3.0‑cp36‑cp36m‑win_amd64.whl
  • PyCifRW provides support for reading and writingCIF files.
    • PyCifRW‑3.6.2‑cp27‑none‑win32.whl
    • PyCifRW‑3.6.2‑cp27‑none‑win_amd64.whl
    • PyCifRW‑4.3‑cp27‑cp27m‑win32.whl
    • PyCifRW‑4.3‑cp27‑cp27m‑win_amd64.whl
    • PyCifRW‑4.3‑cp34‑cp34m‑win32.whl
    • PyCifRW‑4.3‑cp34‑cp34m‑win_amd64.whl
    • PyCifRW‑4.3‑cp35‑cp35m‑win32.whl
    • PyCifRW‑4.3‑cp35‑cp35m‑win_amd64.whl
    • PyCifRW‑4.3‑cp36‑cp36m‑win32.whl
    • PyCifRW‑4.3‑cp36‑cp36m‑win_amd64.whl
  • PyCLD2, bindings for theCompact Language Detector 2.
    • pycld2‑0.31‑cp27‑cp27m‑win32.whl
    • pycld2‑0.31‑cp27‑cp27m‑win_amd64.whl
    • pycld2‑0.31‑cp34‑cp34m‑win32.whl
    • pycld2‑0.31‑cp34‑cp34m‑win_amd64.whl
    • pycld2‑0.31‑cp35‑cp35m‑win32.whl
    • pycld2‑0.31‑cp35‑cp35m‑win_amd64.whl
    • pycld2‑0.31‑cp36‑cp36m‑win32.whl
    • pycld2‑0.31‑cp36‑cp36m‑win_amd64.whl
  • PyCluster implements clustering methods for gene expression data analysis.
    • Pycluster‑1.52‑cp27‑cp27m‑win32.whl
    • Pycluster‑1.52‑cp27‑cp27m‑win_amd64.whl
    • Pycluster‑1.52‑cp34‑cp34m‑win32.whl
    • Pycluster‑1.52‑cp34‑cp34m‑win_amd64.whl
    • Pycluster‑1.52‑cp35‑cp35m‑win32.whl
    • Pycluster‑1.52‑cp35‑cp35m‑win_amd64.whl
    • Pycluster‑1.52‑cp36‑cp36m‑win32.whl
    • Pycluster‑1.52‑cp36‑cp36m‑win_amd64.whl
  • PyCogent, a software library for genomic biology.
    • cogent‑1.9‑cp27‑cp27m‑win32.whl
    • cogent‑1.9‑cp27‑cp27m‑win_amd64.whl
  • PyCorrFit, a versatile tool for FCS data analysis.
    • pycorrfit‑1.0.0‑cp27‑cp27m‑win32.whl
    • pycorrfit‑1.0.0‑cp27‑cp27m‑win_amd64.whl
  • Pycosat, bindings to thePicoSAT SAT solver.
    • pycosat‑0.6.1‑cp27‑cp27m‑win32.whl
    • pycosat‑0.6.1‑cp27‑cp27m‑win_amd64.whl
    • pycosat‑0.6.1‑cp34‑cp34m‑win32.whl
    • pycosat‑0.6.1‑cp34‑cp34m‑win_amd64.whl
    • pycosat‑0.6.1‑cp35‑cp35m‑win32.whl
    • pycosat‑0.6.1‑cp35‑cp35m‑win_amd64.whl
    • pycosat‑0.6.1‑cp36‑cp36m‑win32.whl
    • pycosat‑0.6.1‑cp36‑cp36m‑win_amd64.whl
  • PyCUDA gives access to Nvidia's parallel computing API.
    Requires pytools, matchingCUDA Toolkit, compatible Nvidia driver, and MSVC compiler.
    • pycuda‑2014.1+cuda6514‑cp27‑none‑win32.whl
    • pycuda‑2014.1+cuda6514‑cp27‑none‑win_amd64.whl
    • pycuda‑2014.1+cuda6514‑cp34‑none‑win32.whl
    • pycuda‑2014.1+cuda6514‑cp34‑none‑win_amd64.whl
    • pycuda‑2016.1.2+cuda7518‑cp27‑cp27m‑win32.whl
    • pycuda‑2016.1.2+cuda7518‑cp27‑cp27m‑win_amd64.whl
    • pycuda‑2016.1.2+cuda7518‑cp34‑cp34m‑win32.whl
    • pycuda‑2016.1.2+cuda7518‑cp34‑cp34m‑win_amd64.whl
    • pycuda‑2016.1.2+cuda7518‑cp35‑cp35m‑win32.whl
    • pycuda‑2016.1.2+cuda7518‑cp35‑cp35m‑win_amd64.whl
    • pycuda‑2017.1.1+cuda8061‑cp27‑cp27m‑win32.whl
    • pycuda‑2017.1.1+cuda8061‑cp27‑cp27m‑win_amd64.whl
    • pycuda‑2017.1.1+cuda8061‑cp34‑cp34m‑win32.whl
    • pycuda‑2017.1.1+cuda8061‑cp34‑cp34m‑win_amd64.whl
    • pycuda‑2017.1.1+cuda8061‑cp35‑cp35m‑win32.whl
    • pycuda‑2017.1.1+cuda8061‑cp35‑cp35m‑win_amd64.whl
    • pycuda‑2017.1.1+cuda8061‑cp36‑cp36m‑win32.whl
    • pycuda‑2017.1.1+cuda8061‑cp36‑cp36m‑win_amd64.whl
  • PycURL, a interface to thelibcurl library.
    • pycurl‑7.43.0‑cp27‑cp27m‑win32.whl
    • pycurl‑7.43.0‑cp27‑cp27m‑win_amd64.whl
    • pycurl‑7.43.0‑cp34‑cp34m‑win32.whl
    • pycurl‑7.43.0‑cp34‑cp34m‑win_amd64.whl
    • pycurl‑7.43.0‑cp35‑cp35m‑win32.whl
    • pycurl‑7.43.0‑cp35‑cp35m‑win_amd64.whl
    • pycurl‑7.43.0‑cp36‑cp36m‑win32.whl
    • pycurl‑7.43.0‑cp36‑cp36m‑win_amd64.whl
  • PyDbg, a Win32 debugger interface.
    Includes the pydasm disassembly library.
    • pydbg‑1.2‑cp27‑none‑win32.whl
    • pydbg‑1.2‑cp27‑none‑win_amd64.whl
  • PyDDE, a numerical solver for systems of delay differential equations (DDEs).
    • PyDDE‑0.2.2‑cp27‑cp27m‑win32.whl
    • PyDDE‑0.2.2‑cp27‑cp27m‑win_amd64.whl
    • PyDDE‑0.2.2‑cp34‑cp34m‑win32.whl
    • PyDDE‑0.2.2‑cp34‑cp34m‑win_amd64.whl
    • PyDDE‑0.2.2‑cp35‑cp35m‑win32.whl
    • PyDDE‑0.2.2‑cp35‑cp35m‑win_amd64.whl
    • PyDDE‑0.2.2‑cp36‑cp36m‑win32.whl
    • PyDDE‑0.2.2‑cp36‑cp36m‑win_amd64.whl
  • PyEDA, a library for electronic design automation.
    • pyeda‑0.28.0‑cp35‑cp35m‑win32.whl
    • pyeda‑0.28.0‑cp35‑cp35m‑win_amd64.whl
    • pyeda‑0.28.0‑cp36‑cp36m‑win32.whl
    • pyeda‑0.28.0‑cp36‑cp36m‑win_amd64.whl
  • PyEMD implements the Earth Mover's Distance.
    • pyemd‑0.4.4‑cp27‑cp27m‑win32.whl
    • pyemd‑0.4.4‑cp27‑cp27m‑win_amd64.whl
    • pyemd‑0.4.4‑cp34‑cp34m‑win32.whl
    • pyemd‑0.4.4‑cp34‑cp34m‑win_amd64.whl
    • pyemd‑0.4.4‑cp35‑cp35m‑win32.whl
    • pyemd‑0.4.4‑cp35‑cp35m‑win_amd64.whl
    • pyemd‑0.4.4‑cp36‑cp36m‑win32.whl
    • pyemd‑0.4.4‑cp36‑cp36m‑win_amd64.whl
  • PyEphem provides scientific-grade astronomical computations.
    • ephem‑3.7.6.0‑cp27‑cp27m‑win32.whl
    • ephem‑3.7.6.0‑cp27‑cp27m‑win_amd64.whl
    • ephem‑3.7.6.0‑cp34‑cp34m‑win32.whl
    • ephem‑3.7.6.0‑cp34‑cp34m‑win_amd64.whl
    • ephem‑3.7.6.0‑cp35‑cp35m‑win32.whl
    • ephem‑3.7.6.0‑cp35‑cp35m‑win_amd64.whl
    • ephem‑3.7.6.0‑cp36‑cp36m‑win32.whl
    • ephem‑3.7.6.0‑cp36‑cp36m‑win_amd64.whl
  • Pyexiv2 provides bindings to theexiv2 library for image metadata.
    • pyexiv2‑0.3.2‑cp27‑none‑win32.whl
    • pyexiv2‑0.3.2‑cp27‑none‑win_amd64.whl
  • PyFFTW, a wrapper around theFFTW C library.
    • pyFFTW‑0.10.4‑cp27‑cp27m‑win32.whl
    • pyFFTW‑0.10.4‑cp27‑cp27m‑win_amd64.whl
    • pyFFTW‑0.10.4‑cp34‑cp34m‑win32.whl
    • pyFFTW‑0.10.4‑cp34‑cp34m‑win_amd64.whl
    • pyFFTW‑0.10.4‑cp35‑cp35m‑win32.whl
    • pyFFTW‑0.10.4‑cp35‑cp35m‑win_amd64.whl
    • pyFFTW‑0.10.4‑cp36‑cp36m‑win32.whl
    • pyFFTW‑0.10.4‑cp36‑cp36m‑win_amd64.whl
  • PyFITS provides an interface toFITS formatted files.
    This package is now part of astropy.
    • pyfits‑3.4‑cp27‑none‑win32.whl
    • pyfits‑3.4‑cp27‑none‑win_amd64.whl
    • pyfits‑3.4‑cp34‑cp34m‑win32.whl
    • pyfits‑3.4‑cp34‑cp34m‑win_amd64.whl
    • pyfits‑3.4‑cp35‑cp35m‑win32.whl
    • pyfits‑3.4‑cp35‑cp35m‑win_amd64.whl
    • pyfits‑3.4‑cp36‑cp36m‑win32.whl
    • pyfits‑3.4‑cp36‑cp36m‑win_amd64.whl
  • pyFLTK, a wrapper for theFast Light Tool Kit cross-platform graphical user-interface library.
    • pyFltk‑1.3.3.1‑cp27‑cp27m‑win32.whl
    • pyFltk‑1.3.3.1‑cp27‑cp27m‑win_amd64.whl
    • pyFltk‑1.3.3.1‑cp34‑cp34m‑win32.whl
    • pyFltk‑1.3.3.1‑cp34‑cp34m‑win_amd64.whl
    • pyFltk‑1.3.3.1‑cp35‑cp35m‑win32.whl
    • pyFltk‑1.3.3.1‑cp35‑cp35m‑win_amd64.whl
    • pyFltk‑1.3.3.1‑cp36‑cp36m‑win32.whl
    • pyFltk‑1.3.3.1‑cp36‑cp36m‑win_amd64.whl
  • PyFlux, a time series library.
    • pyflux‑0.4.15‑cp27‑cp27m‑win32.whl
    • pyflux‑0.4.15‑cp27‑cp27m‑win_amd64.whl
    • pyflux‑0.4.15‑cp34‑cp34m‑win32.whl
    • pyflux‑0.4.15‑cp34‑cp34m‑win_amd64.whl
    • pyflux‑0.4.15‑cp35‑cp35m‑win32.whl
    • pyflux‑0.4.15‑cp35‑cp35m‑win_amd64.whl
    • pyflux‑0.4.15‑cp36‑cp36m‑win32.whl
    • pyflux‑0.4.15‑cp36‑cp36m‑win_amd64.whl
  • PyFMI enables loading and interacting with Functional Mock-Up Units (FMUs).
    Requires numpy+mkl, assimulo, lxml and scipy.
    • PyFMI‑1.5‑cp27‑none‑win32.whl
    • PyFMI‑1.5‑cp27‑none‑win_amd64.whl
    • PyFMI‑2.4‑cp27‑cp27m‑win32.whl
    • PyFMI‑2.4‑cp27‑cp27m‑win_amd64.whl
    • PyFMI‑2.4‑cp34‑cp34m‑win32.whl
    • PyFMI‑2.4‑cp34‑cp34m‑win_amd64.whl
    • PyFMI‑2.4‑cp35‑cp35m‑win32.whl
    • PyFMI‑2.4‑cp35‑cp35m‑win_amd64.whl
    • PyFMI‑2.4‑cp36‑cp36m‑win32.whl
    • PyFMI‑2.4‑cp36‑cp36m‑win_amd64.whl
  • Pygame, a library for writing games based on theSDL library.
    • pygame‑1.9.3‑cp27‑cp27m‑win32.whl
    • pygame‑1.9.3‑cp27‑cp27m‑win_amd64.whl
    • pygame‑1.9.3‑cp34‑cp34m‑win32.whl
    • pygame‑1.9.3‑cp34‑cp34m‑win_amd64.whl
    • pygame‑1.9.3‑cp35‑cp35m‑win32.whl
    • pygame‑1.9.3‑cp35‑cp35m‑win_amd64.whl
    • pygame‑1.9.3‑cp36‑cp36m‑win32.whl
    • pygame‑1.9.3‑cp36‑cp36m‑win_amd64.whl
  • Pygit2, a set of bindings to thelibgit2 shared library.
    • pygit2‑0.26.0‑cp27‑cp27m‑win32.whl
    • pygit2‑0.26.0‑cp27‑cp27m‑win_amd64.whl
    • pygit2‑0.26.0‑cp34‑cp34m‑win32.whl
    • pygit2‑0.26.0‑cp34‑cp34m‑win_amd64.whl
    • pygit2‑0.26.0‑cp35‑cp35m‑win32.whl
    • pygit2‑0.26.0‑cp35‑cp35m‑win_amd64.whl
    • pygit2‑0.26.0‑cp36‑cp36m‑win32.whl
    • pygit2‑0.26.0‑cp36‑cp36m‑win_amd64.whl
  • Pyglet, a cross-platform windowing and multimedia library usingAVbin.
    • pyglet‑1.2.4‑py2‑none‑any.whl
    • pyglet‑1.2.4‑py3‑none‑any.whl
  • PyGraphviz, an interface to theGraphviz graph layout and visualization package.
    Requires graphviz-2.38.msi.
    • pygraphviz‑1.3.1‑cp27‑none‑win32.whl
    • pygraphviz‑1.3.1‑cp27‑none‑win_amd64.whl
    • pygraphviz‑1.3.1‑cp34‑none‑win32.whl
    • pygraphviz‑1.3.1‑cp34‑none‑win_amd64.whl
  • PyGreSQL interfaces to aPostgreSQL database.
    • PyGreSQL‑5.0.4‑cp27‑cp27m‑win32.whl
    • PyGreSQL‑5.0.4‑cp27‑cp27m‑win_amd64.whl
    • PyGreSQL‑5.0.4‑cp34‑cp34m‑win32.whl
    • PyGreSQL‑5.0.4‑cp34‑cp34m‑win_amd64.whl
    • PyGreSQL‑5.0.4‑cp35‑cp35m‑win32.whl
    • PyGreSQL‑5.0.4‑cp35‑cp35m‑win_amd64.whl
    • PyGreSQL‑5.0.4‑cp36‑cp36m‑win32.whl
    • PyGreSQL‑5.0.4‑cp36‑cp36m‑win_amd64.whl
  • PyGTK, a wrapper for theGTK+ library.
    Requires the GTK+ 2.22 runtime.
    The pycairo module was moved to gtk.cairo.
    • pycairo_gtk‑1.10.0‑cp27‑none‑win32.whl
    • pycairo_gtk‑1.10.0‑cp27‑none‑win_amd64.whl
    • pygobject‑2.28.6‑cp27‑none‑win32.whl
    • pygobject‑2.28.6‑cp27‑none‑win_amd64.whl
    • pygtk‑2.22.0‑cp27‑none‑win32.whl
    • pygtk‑2.22.0‑cp27‑none‑win_amd64.whl
  • PyHDF, an interface to the NCSAHDF4 library.
    • python_hdf4‑0.9‑cp27‑cp27m‑win32.whl
    • python_hdf4‑0.9‑cp27‑cp27m‑win_amd64.whl
    • python_hdf4‑0.9‑cp34‑cp34m‑win32.whl
    • python_hdf4‑0.9‑cp34‑cp34m‑win_amd64.whl
    • python_hdf4‑0.9‑cp35‑cp35m‑win32.whl
    • python_hdf4‑0.9‑cp35‑cp35m‑win_amd64.whl
    • python_hdf4‑0.9‑cp36‑cp36m‑win32.whl
    • python_hdf4‑0.9‑cp36‑cp36m‑win_amd64.whl
  • PyHook, a wrapper for global input hooks in Windows.
    • pyHook‑1.5.1‑cp27‑cp27m‑win32.whl
    • pyHook‑1.5.1‑cp27‑cp27m‑win_amd64.whl
    • pyHook‑1.5.1‑cp34‑cp34m‑win32.whl
    • pyHook‑1.5.1‑cp34‑cp34m‑win_amd64.whl
    • pyHook‑1.5.1‑cp35‑cp35m‑win32.whl
    • pyHook‑1.5.1‑cp35‑cp35m‑win_amd64.whl
    • pyHook‑1.5.1‑cp36‑cp36m‑win32.whl
    • pyHook‑1.5.1‑cp36‑cp36m‑win_amd64.whl
  • PyICU wraps theICU (International Components for Unicode) library.
    • PyICU‑1.9.7‑cp27‑cp27m‑win32.whl
    • PyICU‑1.9.7‑cp27‑cp27m‑win_amd64.whl
    • PyICU‑1.9.7‑cp34‑cp34m‑win32.whl
    • PyICU‑1.9.7‑cp34‑cp34m‑win_amd64.whl
    • PyICU‑1.9.7‑cp35‑cp35m‑win32.whl
    • PyICU‑1.9.7‑cp35‑cp35m‑win_amd64.whl
    • PyICU‑1.9.7‑cp36‑cp36m‑win32.whl
    • PyICU‑1.9.7‑cp36‑cp36m‑win_amd64.whl
  • PyISAPIe, an ISAPI extension for IIS.
    • PyISAPIe‑1.1.0‑r201‑Py2.7.zip
  • PyJNIus, access Java classes as Python classes using JNI.
    • pyjnius‑1.1.1‑cp27‑cp27m‑win32.whl
    • pyjnius‑1.1.1‑cp27‑cp27m‑win_amd64.whl
    • pyjnius‑1.1.1‑cp34‑cp34m‑win32.whl
    • pyjnius‑1.1.1‑cp34‑cp34m‑win_amd64.whl
    • pyjnius‑1.1.1‑cp35‑cp35m‑win32.whl
    • pyjnius‑1.1.1‑cp35‑cp35m‑win_amd64.whl
    • pyjnius‑1.1.1‑cp36‑cp36m‑win32.whl
    • pyjnius‑1.1.1‑cp36‑cp36m‑win_amd64.whl
  • PyKSVD, a highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
    • pyksvd‑0.1‑cp27‑none‑win32.whl
    • pyksvd‑0.1‑cp27‑none‑win_amd64.whl
  • Pyldap a fork ofpython-ldap, which provides an object-oriented API to access LDAP directory servers viaOpenLDAP.
    • pyldap‑2.4.37‑cp27‑cp27m‑win32.whl
    • pyldap‑2.4.37‑cp27‑cp27m‑win_amd64.whl
    • pyldap‑2.4.37‑cp34‑cp34m‑win32.whl
    • pyldap‑2.4.37‑cp34‑cp34m‑win_amd64.whl
    • pyldap‑2.4.37‑cp35‑cp35m‑win32.whl
    • pyldap‑2.4.37‑cp35‑cp35m‑win_amd64.whl
    • pyldap‑2.4.37‑cp36‑cp36m‑win32.whl
    • pyldap‑2.4.37‑cp36‑cp36m‑win_amd64.whl
  • PyLibDeconv, a wrapper for thedeconv library.
    Requires numpy+mkl.
    • pylibdeconv‑1.0.0.dev0‑cp27‑none‑win32.whl
    • pylibdeconv‑1.0.0.dev0‑cp27‑none‑win_amd64.whl
  • PyLibTiff, a package for reading and writing TIFF and LSM files.
    • libtiff‑0.4.0‑cp27‑none‑win32.whl
    • libtiff‑0.4.0‑cp27‑none‑win_amd64.whl
  • PyLZMA, bindings for theLZMA compression library.
    • pylzma‑0.4.9‑cp27‑cp27m‑win32.whl
    • pylzma‑0.4.9‑cp27‑cp27m‑win_amd64.whl
    • pylzma‑0.4.9‑cp34‑cp34m‑win32.whl
    • pylzma‑0.4.9‑cp34‑cp34m‑win_amd64.whl
    • pylzma‑0.4.9‑cp35‑cp35m‑win32.whl
    • pylzma‑0.4.9‑cp35‑cp35m‑win_amd64.whl
    • pylzma‑0.4.9‑cp36‑cp36m‑win32.whl
    • pylzma‑0.4.9‑cp36‑cp36m‑win_amd64.whl
  • Pymatgen, a library for materials analysis.
    • pymatgen‑2017.10.16‑cp27‑cp27m‑win32.whl
    • pymatgen‑2017.10.16‑cp27‑cp27m‑win_amd64.whl
    • pymatgen‑2017.10.16‑cp34‑cp34m‑win32.whl
    • pymatgen‑2017.10.16‑cp34‑cp34m‑win_amd64.whl
    • pymatgen‑2017.10.16‑cp35‑cp35m‑win32.whl
    • pymatgen‑2017.10.16‑cp35‑cp35m‑win_amd64.whl
    • pymatgen‑2017.10.16‑cp36‑cp36m‑win32.whl
    • pymatgen‑2017.10.16‑cp36‑cp36m‑win_amd64.whl
  • PyMC, a Markov chain Monte Carlo.
    Requires numpy+mkl.
    • pymc‑2.3.6‑cp27‑cp27m‑win32.whl
    • pymc‑2.3.6‑cp27‑cp27m‑win_amd64.whl
    • pymc‑2.3.6‑cp34‑cp34m‑win32.whl
    • pymc‑2.3.6‑cp34‑cp34m‑win_amd64.whl
    • pymc‑2.3.6‑cp35‑cp35m‑win32.whl
    • pymc‑2.3.6‑cp35‑cp35m‑win_amd64.whl
    • pymc‑2.3.6‑cp36‑cp36m‑win32.whl
    • pymc‑2.3.6‑cp36‑cp36m‑win_amd64.whl
  • PyMca, a toolkit for X-ray fluorescence data analysis.
    • PyMca‑4.7.4‑cp27‑none‑win32.whl
    • PyMca‑4.7.4‑cp27‑none‑win_amd64.whl
    • pymca‑5.1.2‑py2.py3‑none‑any.whl
    • PyMca5‑5.1.2‑cp27‑cp27m‑win32.whl
    • PyMca5‑5.1.2‑cp27‑cp27m‑win_amd64.whl
    • PyMca5‑5.1.2‑cp35‑cp35m‑win32.whl
    • PyMca5‑5.1.2‑cp35‑cp35m‑win_amd64.whl
    • PyMca5‑5.1.2‑cp36‑cp36m‑win32.whl
    • PyMca5‑5.1.2‑cp36‑cp36m‑win_amd64.whl
  • PyMCMC, a Markov chain Monte Carlo.
    Requires numpy+mkl.
    • pymcmc‑1.1a1‑cp27‑none‑win32.whl
    • pymcmc‑1.1a1‑cp27‑none‑win_amd64.whl
  • PyMCubes, is an implementation of the marching cubes algorithm to extract isosurfaces from volumetric data.
    • PyMCubes‑0.0.6‑cp27‑cp27m‑win32.whl
    • PyMCubes‑0.0.6‑cp27‑cp27m‑win_amd64.whl
    • PyMCubes‑0.0.6‑cp34‑cp34m‑win32.whl
    • PyMCubes‑0.0.6‑cp34‑cp34m‑win_amd64.whl
    • PyMCubes‑0.0.6‑cp35‑cp35m‑win32.whl
    • PyMCubes‑0.0.6‑cp35‑cp35m‑win_amd64.whl
    • PyMCubes‑0.0.6‑cp36‑cp36m‑win32.whl
    • PyMCubes‑0.0.6‑cp36‑cp36m‑win_amd64.whl
  • PyMedia, a module for media files manipulations.
    • pymedia‑1.3.7.3‑cp27‑none‑win32.whl
    • pymedia‑1.3.7.3‑cp27‑none‑win_amd64.whl
  • PyMetis, a wrapper for theMETIS graph partitioning software.
    • PyMetis‑2016.2‑cp27‑cp27m‑win32.whl
    • PyMetis‑2016.2‑cp27‑cp27m‑win_amd64.whl
    • PyMetis‑2016.2‑cp34‑cp34m‑win32.whl
    • PyMetis‑2016.2‑cp34‑cp34m‑win_amd64.whl
    • PyMetis‑2016.2‑cp35‑cp35m‑win32.whl
    • PyMetis‑2016.2‑cp35‑cp35m‑win_amd64.whl
    • PyMetis‑2016.2‑cp36‑cp36m‑win32.whl
    • PyMetis‑2016.2‑cp36‑cp36m‑win_amd64.whl
  • PyMinuit provides an interface to Minuit for minimizing general N-dimensional functions.
    • pyMinuit‑1.2.1‑cp27‑cp27m‑win32.whl
    • pyMinuit‑1.2.1‑cp27‑cp27m‑win_amd64.whl
    • pyMinuit‑1.2.1‑cp34‑cp34m‑win32.whl
    • pyMinuit‑1.2.1‑cp34‑cp34m‑win_amd64.whl
    • pyMinuit‑1.2.1‑cp35‑cp35m‑win32.whl
    • pyMinuit‑1.2.1‑cp35‑cp35m‑win_amd64.whl
    • pyMinuit‑1.2.1‑cp36‑cp36m‑win32.whl
    • pyMinuit‑1.2.1‑cp36‑cp36m‑win_amd64.whl
  • PyMix implements algorithms and data structures for data mining applications.
    • pymix‑0.8b0‑cp27‑none‑win32.whl
    • pymix‑0.8b0‑cp27‑none‑win_amd64.whl
  • PyMOL, a molecular visualization product for rendering and animating 3D molecular structures.

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