Anaconda and Miniconda 镜像 - 清华大学开源软件镜像站

Anaconda and Miniconda 镜像 - 清华大学开源软件镜像站
https://mirror.tuna.tsinghua.edu/help/anaconda/

1. Anaconda and Miniconda 镜像

Anaconda 是一个用于科学计算的 Python 发行版，支持 Linux, Mac, Windows, 包含了众多流行的科学计算、数据分析的 Python 包。

Miniconda 是一个 Anaconda 的轻量级替代，默认只包含了 python 和 conda，可以通过 pip 和 conda 来安装所需要的包。

1.1 Anaconda and Miniconda 安装包下载

Anaconda 安装包可以到 https://mirrors.tuna.tsinghua.edu/anaconda/archive/ 下载。

Miniconda 安装包可以到 https://mirrors.tuna.tsinghua.edu/anaconda/miniconda/ 下载。

1.2 .condarc 文件

TUNA 提供了 Anaconda 仓库与第三方源 (conda-forge、msys2、pytorch 等) 的镜像，各系统都可以通过修改用户目录下的 .condarc 文件，添加 Anaconda Python 免费仓库。运行 conda clean -i 清除索引缓存，保证用的是镜像站提供的索引。

第三方源镜像
https://mirrors.tuna.tsinghua.edu/anaconda/cloud/
https://mirrors.bfsu.edu/anaconda/cloud/

Windows 用户无法直接创建名为 .condarc 的文件，可先执行 conda config --set show_channel_urls yes 生成该文件之后再修改。

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

由于更新过快难以同步，我们不同步 pytorch-nightly, pytorch-nightly-cpu, ignite-nightly 这三个包。

(base) yongqiang@yongqiang:~$ conda config --show channels
channels:
  - defaults
(base) yongqiang@yongqiang:~$

(base) yongqiang@yongqiang:~$ conda config --set show_channel_urls yes
(base) yongqiang@yongqiang:~$
(base) yongqiang@yongqiang:~$ ls -l .condarc
-rw-r--r-- 1 yongqiang yongqiang 24 Nov 14 21:51 .condarc
(base) yongqiang@yongqiang:~$

(base) yongqiang@yongqiang:~$ vim .condarc
(base) yongqiang@yongqiang:~$
(base) yongqiang@yongqiang:~$ cat .condarc
channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu/anaconda/cloud
  pytorch-lts: https://mirrors.tuna.tsinghua.edu/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu/anaconda/cloud

(base) yongqiang@yongqiang:~$

(base) yongqiang@yongqiang:~$ wsl.exe --shutdown
适用于 Linux 的 Windows 子系统实例已终止。
Press any key to continue...

配置前:

(base) yongqiang@yongqiang:~$ conda install numpy
Collecting package metadata (current_repodata.json): failed

CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://repo.anaconda/pkgs/main/linux-64/current_repodata.json>
Elapsed: -

An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.

If your current network has https://www.anaconda blocked, please file
a support request with your network engineering team.

'https://repo.anaconda/pkgs/main/linux-64'

(base) yongqiang@yongqiang:~$

配置后:

(base) yongqiang@yongqiang:~$ conda install numpy
Collecting package metadata (current_repodata.json): failed

CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://mirrors.tuna.tsinghua.edu/anaconda/pkgs/main/linux-64/current_repodata.json>
Elapsed: -

An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
'https://mirrors.tuna.tsinghua.edu/anaconda/pkgs/main/linux-64'

(base) yongqiang@yongqiang:~$

NOTE: 重新启动 Windows Subsystem for Linux (WSL) 即可正常使用。

(base) yongqiang@yongqiang:~$ conda install numpy
Collecting package metadata (current_repodata.json): done
Solving environment: done

# All requested packages already installed.

(base) yongqiang@yongqiang:~$

References

https://yongqiang.blog.csdn/
https://mirrors.tuna.tsinghua.edu/help/anaconda/