Tsinghua University Anaconda mirror help

Anaconda is a Python distribution for scientific computing. It supports Linux, Mac, Windows, and contains many popular Python packages for scientific computing and data analysis.

Anaconda installation package can be  downloaded at  https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/ .

TUNA also provides images of Anaconda warehouse and third-party sources (conda-forge, msys2, pytorch, etc., see the full list ), and each system can modify the .condarcfiles in the user directory  . Windows users cannot directly create .condarc a file named  , they can first  conda config --set show_channel_urls yes generate the file and then modify it.

Note: Due to the excessive difficult to synchronize, we are not synchronized pytorch-nightlypytorch-nightly-cpuignite-nightlythree packages.

channels:
  - defaults
show_channel_urls: true
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

Anaconda Python free repository can be added.

Run to  conda clean -i clear the index cache to ensure that the index provided by the mirror station is used.

Run the  conda create -n myenv numpy test.

Miniconda mirror help

Miniconda is a lightweight alternative to Anaconda. By default, it only includes python and conda, but you can install the required packages through pip and conda.

The Miniconda installation package can be  downloaded from  https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/ .

Other three sources

For other three-party conda sources, if necessary, please modify the anaconda.py file and submit a pull request, we will consider multiple factors to increase or decrease as appropriate.

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