I am working on a Python project in Windows using a virtual environment (venv) created with python -m venv. When I try to activate the environment using venvScriptsactivate, the environment activates, but running pip or python results in an error pointing to an incorrect path from a different project:

I am working on a Python project in Windows using a virtual environment (venv) created with python -m venv. When I try to activate the environment using venvScriptsactivate, the environment activates, but running pip or python results in an error pointing to an incorrect path from a different project:

I’m trying to follow best practice and use a separate venv for each package I’m working on. I typically need numpy and scipy for the packages at minimum; optional dependencies usually include matplotlib; and then the usual suite of dev packages. This ends up creating a venv folder that is about 0.6 GB. That’s a lot of wasted space when I look back over all the packages I’ve created. Is this really what developers do in practice?

I have two scripts a.py and b.py and two virtual environments “venv” and “pypdf_env”. a.py should work on “venv” and b.py should work on “pypdf_env”. And I am passing subject to second script process_library_jobs().

I have two scripts a.py and b.py and two virtual environments “venv” and “pypdf_env”. a.py should work on “venv” and b.py should work on “pypdf_env”. And I am passing subject to second script process_library_jobs().

I have two scripts a.py and b.py and two virtual environments “venv” and “pypdf_env”. a.py should work on “venv” and b.py should work on “pypdf_env”. And I am passing subject to second script process_library_jobs().

I have two scripts a.py and b.py and two virtual environments “venv” and “pypdf_env”. a.py should work on “venv” and b.py should work on “pypdf_env”. And I am passing subject to second script process_library_jobs().

I am testing using virtual environment in windows 11 with vscode.

What I installed in the venv environment is installed globally I tried the following steps, but it didn’t solve the issue. 1 ============ I entered the venv environment created with command 1 and installed the package with command 2. 1. python -m venv [venv name] 2. pip install [packege name] ============ 2 ============ Change the […]

So to explain: I have a folder with my venv’s in it. Additionally I have installed python via Brew.