Anaconda

• Anaconda: The Most Popular Python Data Science Platform

• conda: https://docs.conda.io

---

conda 配置

~/.condarc

ssl_verify: true
channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  - defaults
auto_activate_base: false
default_python:
show_channel_urls: true

proxy_servers:
    http: socks5://127.0.0.1:1080
    https: socks5://127.0.0.1:1080

conda 命令

• version

  Bash

  conda --version
  

• config

  Bash

  conda config --set auto_activate_base true # false
  

• env

  Bash

  conda info --envs
  # or
  conda env list
  
  conda activate <env-name>
  

• 配置 国内源

  Bash

  # 查看
  conda config --show-sources
  
  # 添加清华的源
  conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  
  # 移除源
  conda config --remove channels 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'
  
  # 是否显示channel的来源
  conda config --set show_channel_urls yes # or no
  

• packages

  Bash

  conda search numpy
  
  # 如果使用conda安装包的时候还是很慢，那么可以考虑使用pip来安装
  conda install [-n env-name -c channel-name] scipy
  conda install  -c  <mirror-url>  <package-name>
  conda install  --channel  <mirror-url>  <package-name>
  
  conda update conda
  conda update python
  

with Jupyter

• add conda environment to jupyter lab
  Bash

  conda install [-n env-name] ipykernel
  
  ipython kernel install --user --name=<any_name_for_kernel>
  # or
  python -m ipykernel install --name <env-name>