Creating new environments conda create conda install or use when installing the package, most of the students should have experienced slow installation (mainly because the download speed is too slow, or download to half the problem of error)
The online solution is usually the conda into a domestic Tsinghua source or sources USTC
But in my system Miniconda4.8.3 (python3.7.4) + win10, this does not work, change the Tsinghua source, the problem still exists after USTC source.
Such problems did not occur before 2019, it may be due to speculation that the 19-year conda suspend the relevant authorization, although they were later restored.
One method to resolve this problem is to update the command conda
conda conda update
After conda update command, the source set conda Tsinghua source (Refer https://mirror.tuna.tsinghua.edu.cn/help/anaconda/)
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
Then create the environment
conda create -n py38 python = 3.8
Command is successful, a little faster, the problem is solved.