Using Command Line to mange python environments & use Anaconda

打开 jupyter

jupyter lab
jupyter notebook

关闭 jupter Crtl + C

Environment

conda env list # 查看所有虚拟环境
conda list     # 查看当前环境下安装的包

conda rename -n oldEnvName newEnvName # 重命名环境

导出当前环境下安装的所有包的版本信息

pip freeze > requirements.txt

then in requirements.txt:

altgraph==0.17.3
asttokens==2.2.1
auto-py-to-exe==2.36.0
backcall==0.2.0
bottle==0.12.25
bottle-websocket==0.2.9
cffi==1.15.1
colorama==0.4.6
comm==0.1.3
contourpy==1.1.0
cx-Oracle==8.3.0
cycler==0.11.0
debugpy==1.6.7
decorator==5.1.1
...

安装 requirements.txt 内的所包含的包及其指定版本

pip install -r requirements.txt