Conda

conda info -e （查看所有的虚拟环境）

conda info -e （查看所有的虚拟环境）
jupyter lab
activate -name(虚拟环境名字)（进入到该虚拟环境中）

activate textenv

python -m ipykernel install --user --name lstm --display-name "lstm"
python -m ipykernel install --user --name base --display-name "base"
conda list
conda install numpy
conda update -n base -c defaults conda
conda info --envs
pip install -U numpy==1.19.5
conda remove -n lstm --all

conda create -n lstm python==3.9.0
conda install -n lstm ipykernel
python -m ipykernel install --name lstm
conda install jupyterlab
conda install tensorflow

conda remove -n testenv --all

conda create --name lstm python=3.6
pip install tensorflow==2.2.0 -i https://pypi.mirrors.ustc.edu.cn/simple/
https://pypi.tuna.tsinghua.edu.cn/simple
pip install matplotlib -i https://pypi.mirrors.ustc.edu.cn/simple/
pip install jupyterlab -i https://pypi.mirrors.ustc.edu.cn/simple/
conda remove ipykernel

jupyter kernelspec list

jupyter kernelspec remove lstm
jupyter kernelspec remove base
python -m ipykernel install --name lstm

 

标签：name,ipykernel,--,conda,install,Conda,lstm
来源： https://www.cnblogs.com/soldier-justice/p/16086334.html