pycharm+docker的配置(含jupyter notebook的镜像run方法)

背景

  • 搜了许多,都是较为陈旧的,目前docker的mac桌面版支持很快速的设置,不用找任何帮助

前提

  • 假设你是想使用docker镜像,来避免python环境的复杂,节约时间的,来吧
  • 因为我最近开始研究ai,所以技术背景是ai
  • docker pull ufoym/deepo:all-py36-jupyter-cpu
  • 4个多G

申请pycharm专业版

  • 0.0.0.0 account.jetbrains.com ,添加到hosts
  • pycharm,嗯,Activate code
  • G91XMO9AVI-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-ko0/VqmEDlI6vfJX3gznVcqyf+mSlcQmXyavBbvCGT2ygKux7rS0kVhHA/2Skf7lMtHFIA3rvBwXRka/sy5LEJZocQtBsxT6dE+SOX34dxsUQpHsfrkc7ZwqD3Mg2we8mYl//TwGjtvAaXpxrC3z6qzxMvRRxdEjHsU5fTrdI1ondX/MOSKrSUAocf4Dx7Cpy+MBxL0xAcLOU5GP4wB8GJn/aPoxYqQxqXQc8BWFjUhZGnm21bc+5/WYqd08PH1QXTQLrly2Snt9yFboPfiGESx6fyVYcfA269syufzklfC1sCcViJjCna5V55rheSjDEjKOIRpRR/mKtOo8VdqVOA==-MIIEPjCCAiagAwIBAgIBBTANBgkqhkiG9w0BAQsFADAYMRYwFAYDVQQDDA1KZXRQcm9maWxlIENBMB4XDTE1MTEwMjA4MjE0OFoXDTE4MTEwMTA4MjE0OFowETEPMA0GA1UEAwwGcHJvZDN5MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxcQkq+zdxlR2mmRYBPzGbUNdMN6OaXiXzxIWtMEkrJMO/5oUfQJbLLuMSMK0QHFmaI37WShyxZcfRCidwXjot4zmNBKnlyHodDij/78TmVqFl8nOeD5+07B8VEaIu7c3E1N+e1doC6wht4I4+IEmtsPAdoaj5WCQVQbrI8KeT8M9VcBIWX7fD0fhexfg3ZRt0xqwMcXGNp3DdJHiO0rCdU+Itv7EmtnSVq9jBG1usMSFvMowR25mju2JcPFp1+I4ZI+FqgR8gyG8oiNDyNEoAbsR3lOpI7grUYSvkB/xVy/VoklPCK2h0f0GJxFjnye8NT1PAywoyl7RmiAVRE/EKwIDAQABo4GZMIGWMAkGA1UdEwQCMAAwHQYDVR0OBBYEFGEpG9oZGcfLMGNBkY7SgHiMGgTcMEgGA1UdIwRBMD+AFKOetkhnQhI2Qb1t4Lm0oFKLl/GzoRykGjAYMRYwFAYDVQQDDA1KZXRQcm9maWxlIENBggkA0myxg7KDeeEwEwYDVR0lBAwwCgYIKwYBBQUHAwEwCwYDVR0PBAQDAgWgMA0GCSqGSIb3DQEBCwUAA4ICAQC9WZuYgQedSuOc5TOUSrRigMw4/+wuC5EtZBfvdl4HT/8vzMW/oUlIP4YCvA0XKyBaCJ2iX+ZCDKoPfiYXiaSiH+HxAPV6J79vvouxKrWg2XV6ShFtPLP+0gPdGq3x9R3+kJbmAm8w+FOdlWqAfJrLvpzMGNeDU14YGXiZ9bVzmIQbwrBA+c/F4tlK/DV07dsNExihqFoibnqDiVNTGombaU2dDup2gwKdL81ua8EIcGNExHe82kjF4zwfadHk3bQVvbfdAwxcDy4xBjs3L4raPLU3yenSzr/OEur1+jfOxnQSmEcMXKXgrAQ9U55gwjcOFKrgOxEdek/Sk1VfOjvS+nuM4eyEruFMfaZHzoQiuw4IqgGc45ohFH0UUyjYcuFxxDSU9lMCv8qdHKm+wnPRb0l9l5vXsCBDuhAGYD6ss+Ga+aDY6f/qXZuUCEUOH3QUNbbCUlviSz6+GiRnt1kA9N2Qachl+2yBfaqUqr8h7Z2gsx5LcIf5kYNsqJ0GavXTVyWh7PYiKX4bs354ZQLUwwa/cG++2+wNWP+HtBhVxMRNTdVhSm38AknZlD+PTAsWGu9GyLmhti2EnVwGybSD2Dxmhxk3IPCkhKAK+pl0eWYGZWG3tJ9mZ7SowcXLWDFAk0lRJnKGFMTggrWjV8GYpw5bq23VmIqqDLgkNzuoog==

设置专业版

  • 只有专业版有docker的remote调试,ce版本没有
  • 只需要进入project进行设置,如下图
  • pycharm+docker的配置(含jupyter notebook的镜像run方法)_第1张图片
  • pycharm+docker的配置(含jupyter notebook的镜像run方法)_第2张图片
  • pycharm+docker的配置(含jupyter notebook的镜像run方法)_第3张图片
  • 可以采用另外一种方法:社区版在本地做实验,和学习,足够了
  • docker镜像采用有jupyterbook的images,全搞定
  • docker pull ufoym/deepo:all-py36-jupyter-cpu
  • 或者
  • 折扣申请
  • https://www.jetbrains.com/pyc...
  • 也可以采用的最简便的:jupyter book
  • 进入pycharm,引用numpy,如图,remote包ok啦
  • pycharm+docker的配置(含jupyter notebook的镜像run方法)_第4张图片

jupyter notebook(使用docker)


ZBMAC-C02N753CG:test jiaohuifeng$ ./jupyter.sh 
[I 08:26:23.100 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 08:26:23.537 NotebookApp] All authentication is disabled.  Anyone who can connect to this server will be able to run code.
[I 08:26:23.552 NotebookApp] Serving notebooks from local directory: /root
[I 08:26:23.552 NotebookApp] 0 active kernels
[I 08:26:23.552 NotebookApp] The Jupyter Notebook is running at:
[I 08:26:23.553 NotebookApp] http://0.0.0.0:8888/
[I 08:26:23.553 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

jupyter.sh 
docker run -it -v /Users/jiaohuifeng/test:/sdata -p 8888:8888 --ipc=host ufoym/deepo:all-py36-jupyter-cpu jupyter notebook --no-browser --ip=0.0.0.0 --allow-root --NotebookApp.token= --notebook-dir='/root'
  • pycharm+docker的配置(含jupyter notebook的镜像run方法)_第5张图片

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