Anaconda and Miniconda 软件仓库 - 清华大学开源软件镜像站1. Anaconda and Miniconda 镜像1.1. Anaconda and Miniconda 安装包下载1.2. .condarc 文件1.3. 第三方源列表ReferencesAnaconda and Miniconda 软件仓库 - 清华大学开源软件镜像站https://mirror.tuna.tsinghua.edu.cn/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 安装包可以到以下链接下载https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/http://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Miniconda 安装包可以到以下链接下载https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/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。不同系统下的.condarc目录如下Linux:${HOME}/.condarcmacOS:${HOME}/.condarcWindows:C:\Users\YourUserName\.condarc清华大学开源软件镜像站 - 完整列表https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/校园网联合镜像站https://mirrors.cernet.edu.cn/list/anacondaWindows 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由于更新过快难以同步TUNA 等镜像站不同步pytorch-nightly,pytorch-nightly-cpu,ignite-nightly这三个包。如果您正在从某一镜像源切换到另一镜像源请检查镜像源是否同步了您所需要的 repo以及该 repo 是否支持您使用的平台 (e.g. linux-64)。为了保证以下配置在所有镜像站可用配置中只加入了少量必需的第三方源您可以在下方的列表中自行寻找并添加其他第三方源。HTTPchannels: - defaults show_channel_urls: true default_channels: - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloudHTTPSchannels: - defaults show_channel_urls: true default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud即可添加 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。conda clean -i conda create -n myenv numpy1.3. 第三方源列表您可以遵循上述配置文件中的格式添加第三方源 (推荐)或者通过以下命令添加第三方源conda config --set custom_channels.auto http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/(base) yongqiangyongqiang:~$ conda config --show channels channels: - defaults (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ conda config --set show_channel_urls yes (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ ls -l .condarc -rw-r--r-- 1 yongqiang yongqiang 24 Nov 14 21:51 .condarc (base) yongqiangyongqiang:~$(base) yongqiangyongqiang:~$ vim .condarc (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ cat .condarc channels: - defaults show_channel_urls: true default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - 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 pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud deepmodeling: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/ (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ 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) yongqiangyongqiang:~$ conda install numpy Collecting package metadata (current_repodata.json): failed CondaHTTPError: HTTP 000 CONNECTION FAILED for url https://repo.anaconda.com/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.com blocked, please file a support request with your network engineering team. https://repo.anaconda.com/pkgs/main/linux-64 (base) yongqiangyongqiang:~$配置后:(base) yongqiangyongqiang:~$ conda install numpy Collecting package metadata (current_repodata.json): failed CondaHTTPError: HTTP 000 CONNECTION FAILED for url https://mirrors.tuna.tsinghua.edu.cn/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.cn/anaconda/pkgs/main/linux-64 (base) yongqiangyongqiang:~$NOTE: 重新启动 Windows Subsystem for Linux (WSL) 即可正常使用。(base) yongqiangyongqiang:~$ conda install numpy Collecting package metadata (current_repodata.json): done Solving environment: done # All requested packages already installed. (base) yongqiangyongqiang:~$References[1] Yongqiang Cheng (程永强), https://yongqiang.blog.csdn.net/[2] Anaconda 镜像使用帮助, https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/[3] Anaconda and Miniconda 软件仓库 - 清华大学开源软件镜像站, https://mp.weixin.qq.com/s/vSrn4CB8WrHT9D-oeth50A
Anaconda and Miniconda 软件仓库 - 清华大学开源软件镜像站1. Anaconda and Miniconda 镜像1.1. Anaconda and Miniconda 安装包下载1.2. .condarc 文件1.3. 第三方源列表ReferencesAnaconda and Miniconda 软件仓库 - 清华大学开源软件镜像站https://mirror.tuna.tsinghua.edu.cn/help/anaconda/1. Anaconda and Miniconda 镜像Anaconda 是一个用于科学计算的 Python 发行版支持 Linux, Mac, Windows包含了众多流行的科学计算、数据分析的 Python 包。Miniconda 是一个 Anaconda 的轻量级替代默认只包含了 Python 和 Conda可以通过pip和conda来安装所需要的包。1.1. Anaconda and Miniconda 安装包下载Anaconda 安装包可以到以下链接下载https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/http://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Miniconda 安装包可以到以下链接下载https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/1.2..condarc文件TUNA 提供了 Anaconda 仓库与第三方源 (conda-forge、msys2、pytorch 等) 的镜像各系统都可以通过修改用户目录下的.condarc文件添加 Anaconda Python 免费仓库。运行conda clean -i清除索引缓存保证用的是镜像站提供的索引。不同系统下的.condarc目录如下Linux:${HOME}/.condarcmacOS:${HOME}/.condarcWindows:C:\Users\YourUserName\.condarc清华大学开源软件镜像站 - 完整列表https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/校园网联合镜像站https://mirrors.cernet.edu.cn/list/anacondaWindows 用户无法直接创建名为.condarc的文件可先执行conda config --set show_channel_urls yes生成该文件之后再修改由于更新过快难以同步TUNA 等镜像站不同步pytorch-nightly,pytorch-nightly-cpu,ignite-nightly这三个包。如果您正在从某一镜像源切换到另一镜像源请检查镜像源是否同步了您所需要的 repo以及该 repo 是否支持您使用的平台 (e.g. linux-64)。为了保证以下配置在所有镜像站可用配置中只加入了少量必需的第三方源您可以在下方的列表中自行寻找并添加其他第三方源。HTTPchannels: - defaults show_channel_urls: true default_channels: - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloudHTTPSchannels: - defaults show_channel_urls: true default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud即可添加 Anaconda Python 免费仓库。运行conda clean -i清除索引缓存保证用的是镜像站提供的索引。conda clean -i conda create -n myenv numpy1.3. 第三方源列表您可以遵循上述配置文件中的格式添加第三方源 (推荐)或者通过以下命令添加第三方源conda config --set custom_channels.auto http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/(base) yongqiangyongqiang:~$ conda config --show channels channels: - defaults (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ conda config --set show_channel_urls yes (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ ls -l .condarc -rw-r--r-- 1 yongqiang yongqiang 24 Nov 14 21:51 .condarc (base) yongqiangyongqiang:~$(base) yongqiangyongqiang:~$ vim .condarc (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ cat .condarc channels: - defaults show_channel_urls: true default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - 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 pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud deepmodeling: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/ (base) yongqiangyongqiang:~$ (base) yongqiangyongqiang:~$ 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) yongqiangyongqiang:~$ conda install numpy Collecting package metadata (current_repodata.json): failed CondaHTTPError: HTTP 000 CONNECTION FAILED for url https://repo.anaconda.com/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.com blocked, please file a support request with your network engineering team. https://repo.anaconda.com/pkgs/main/linux-64 (base) yongqiangyongqiang:~$配置后:(base) yongqiangyongqiang:~$ conda install numpy Collecting package metadata (current_repodata.json): failed CondaHTTPError: HTTP 000 CONNECTION FAILED for url https://mirrors.tuna.tsinghua.edu.cn/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.cn/anaconda/pkgs/main/linux-64 (base) yongqiangyongqiang:~$NOTE: 重新启动 Windows Subsystem for Linux (WSL) 即可正常使用。(base) yongqiangyongqiang:~$ conda install numpy Collecting package metadata (current_repodata.json): done Solving environment: done # All requested packages already installed. (base) yongqiangyongqiang:~$References[1] Yongqiang Cheng (程永强), https://yongqiang.blog.csdn.net/[2] Anaconda 镜像使用帮助, https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/[3] Anaconda and Miniconda 软件仓库 - 清华大学开源软件镜像站, https://mp.weixin.qq.com/s/vSrn4CB8WrHT9D-oeth50A
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