VSCODE识别Conda环境，但不识别UNIX中的PIP软件包
我有一个conda环境conda_env，我在Visual Studio Code上的Jupyter笔记本中激活了该环境。该环境包含使用conda安装和pip install安装的软件包。
笔记本电脑位于远程服务器上的Unix Shell中。我能够进口与conda安装的软件包，并居住在环境路径内（miniconda/envs/conda_env /...）。但是，当我尝试导入使用PIP安装的软件包时，导入失败。
ModuleNotFoundError: No module named 'django-extensions'
如果我在Conda环境内的命令行上启动Python环境，则可以导入软件包。下面显示了包裹的路径。
import django_extensions
print(django_extensions.__file__)
# ~/.local/lib/python3.9/site-packages/django_extensions/__init__.py
我最终通过将此行放入笔记本电脑中找到了解决方案。
sys.path.append("~/.local/lib/python3.9/site-packages/")
我的问题是，是否有一种方法可以在整个VSC中进行此操作，而无需我在每个笔记本中手动将这一行插入？
谢谢你！
I have a conda environment conda_env, which I activate in a Jupyter notebook on Visual Studio Code. The environment contains packages installed using both conda install and pip install.
The notebook resides in a Unix shell on a remote server. I am able to import packages installed with conda and residing inside the environment path (miniconda/envs/conda_env/...). However, when I try to import packages that were installed with pip, the import fails.
ModuleNotFoundError: No module named 'django-extensions'
I can import the packages if I start a Python environment on the command line inside the conda environment. Below shows the path the package is found in.
import django_extensions
print(django_extensions.__file__)
# ~/.local/lib/python3.9/site-packages/django_extensions/__init__.py
I eventually found a workaround solution by putting this line into the notebook.
sys.path.append("~/.local/lib/python3.9/site-packages/")
My question is, is there a way to do this across the entire VSC, without me having to manually put that line in inside every notebook?
Thank you!
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sys.path.append（“〜/.local/lib/python3.9/site-packages/”）
“ solves” 使用
pip install -user安装，该通常是不建议使用Conda用户。如果您想在环境中使用PIP安装，请不要使用- 用户标志。在用户站点中安装软件包会导致用户混淆，我建议用户完全避免使用它们（删除任何
〜/.local/lib/python*）或安装软件包conda-forge： ：conda-ecosystem-user-package-isolation。The fact that
sys.path.append("~/.local/lib/python3.9/site-packages/")"solves" the issue indicates that the packages were installed with
pip install --userwhich is not installing into the environment and generally is not recommended for Conda users. If you wish to install with Pip in an environment, do not use the--userflag.Having packages installed in user site leads to confusion among users and I recommend users either avoid them altogether (delete any
~/.local/lib/python*) or install the packageconda-forge::conda-ecosystem-user-package-isolation.