`conda list` 输出的 "Channel" 列中的 "pypi" 意味着什么？
What does "pypi" in the "Channel" column of `conda list` output imply?
$ conda list -v torch-glow
# packages in environment at /anaconda3/envs/pytorch:
#
# Name Version Build Channel
torch-glow 0.0.0 pypi_0 pypi
这是否意味着我 pip install 了 torch-glow 包裹？
这意味着您按照文档中的描述使用了 pip install：
https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html#installing-non-conda-packages
The command conda list shows packages installed this way, with a label showing that they were installed with pip.
请注意：
Issues may arise when using pip and conda together. When combining conda and pip, it is best to use an isolated conda environment. Only after conda has been used to install as many packages as possible should pip be used to install any remaining software. If modifications are needed to the environment, it is best to create a new environment rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files.
https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#pip-in-env
$ conda list -v torch-glow
# packages in environment at /anaconda3/envs/pytorch:
#
# Name Version Build Channel
torch-glow 0.0.0 pypi_0 pypi
这是否意味着我 pip install 了 torch-glow 包裹？
这意味着您按照文档中的描述使用了 pip install：
https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html#installing-non-conda-packages
The command
conda listshows packages installed this way, with a label showing that they were installed with pip.
请注意：
Issues may arise when using pip and conda together. When combining conda and pip, it is best to use an isolated conda environment. Only after conda has been used to install as many packages as possible should pip be used to install any remaining software. If modifications are needed to the environment, it is best to create a new environment rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files.
https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#pip-in-env