Pycharm

Anaconda

Conda

创建Conda虚拟环境

  • 指定python版本和环境名称
    • conda create -n env_name python=3.8
  • 指定python版本, 环境名称, 环境安装路径
    • conda create –prefix=C:/ProgramData/Anaconda3/envs/ENV_spider python=3.9
  • 激活所安装的环境
    • conda activate env_name
  • 在当前激活的环境里安装包
    • conda install package_name
  • 退出当前激活的环境
    • conda deactivate

PIP

Jupyter

安装内核

  • 激活/切换到要添加的虚拟环境, 确认是否安装 ipykernel
    • python -m ipykernel –version
  • 如果没有，则安装
    • python -m pip install ipykernel
  • 为 jupyter 添加内核
    • python -m ipykernel install –name env_name

查看已安装内核

  • jupyter kernelspec list
(ENV_machinelearning) λ jupyter kernelspec list
Available kernels:
  %s    %s python3             C:\ProgramData\Anaconda3\envs\ENV_machinelearning\share\jupyter\kernels\python3
  %s    %s pycharm-78712231    C:\Users\Jin\AppData\Roaming\jupyter\kernels\pycharm-78712231
  %s    %s pycharm-ae39b4c1    C:\Users\Jin\AppData\Roaming\jupyter\kernels\pycharm-ae39b4c1
  %s    %s env_machinelearning C:\ProgramData\jupyter\kernels\env_machinelearning

删除 jupyter 内核

  • jupyter kernelspec remove kernelname