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.