Conda common commands and jupyter configuration

linux install miniconda

1. download miniconda

   1. View system digits:uname --m

      Tsinghua source to view the corresponding version: https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/

   2. Download wget:

   apt-get update
   apt-get -y install wget
   
   

   3. Download using the wget command:

      wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh

2. Install miniconda:

   bash Miniconda3-py39_4.12.0-Linux-x86_64.sh

3. Add miniconda to environment variables:

   Download vim:apt-get -y install vim

   vim ~/.bashrc

   Add to:export PATH="~/miniconda3/bin:"$PATH

   source ~/.bashrc

   source activate

4. Configure Tsinghua source

   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/
   conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
   conda config --set show_channel_urls yes
   

conda-related

Create a virtual environment:conda create -n [虚拟环境名] python=3.9

View existing virtual environments:conda env list

Activate the virtual environment:conda activate [虚拟环境名]

Delete the virtual environment:conda remove -n [虚拟环境名] --all

View the installed packages in the current environment:conda list

Export the package in the current environment:conda env export > environment.yml

Install the environment according to the exported package:conda env create -f environment.yml

Installation package:conda install [包名]

Install the downloaded package locally:conda install --use-local [包路径]

Reference: https://www.freesion.com/article/86891500741/

Uninstall the package in the current environment:conda uninstall 包名

Uninstall the packages in the specified virtual environment:conda remove --name $[虚拟环境名] $[包名]

View current mirrorconda config --show channels

restore default imageconda config --remove-key channels

Configure Tsinghua source image

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --set show_channel_urls yes

jupyter-related

Install jupyterlab:conda install jupyterlab

Add the current environment to jupyter kernel:python -m ipykernel install --user --name=[环境名]

Check out the jupyter kernels that have been added:jupyter kernelspec list

Delete the specified jupyter kernel:jupyter kernelspec remove [环境名]

The server opens jupyter:

• Generate password and copy:jupyter-notebook password

• vim 用户目录/.jupyter/jupyter_lab_config.py

• Create a jupyter configuration file:jupyter lab --generate-config

• Modify the JupyterLab configuration file: vim 用户目录/.jupyter/jupyter_lab_config.py
  add the following content

    c.NotebookApp.allow_root = True
    c.NotebookApp.ip = '0.0.0.0'
    c.NotebookApp.open_browser = False
    c.NotebookApp.password = '复制的密码'
    c.NotebookApp.port = 8888
  

• Background process:nohup jupyter lab --allow-root > jupyter.log 2>&1 &

If the server has a firewall: map to the local

ssh -N -f -L localhost:8899:localhost:8899 用户名@服务器ip

Under the m1 chip, install the x86 package

Create a new virtual environment, the Python architecture in this environment is x86, after translating and running

CONDA_SUBDIR=osx-64 conda create -n test

conda activate test

python -c "import platform;print(platform.machine())"

should output "x86_64"

conda env config vars set CONDA_SUBDIR=osx-64

make sure that conda commands in this environment use intel packages

conda deactivate# Need to reactivate the virtual environment for the settings to take effect

conda activate test

echo "CONDA_SUBDIR: $CONDA_SUBDIR"# Should output "CONDA_SUBDIR: osx-64"