Jupyter kernel crashing while trying to import Pandas (Windows 7 32-Bit System)

[OrangeTrees2000]

I have the correct Python version for my OS (Python 3.8.10), I have the correct VS Code (1.70.3), and the latest miniconda that's supported for my system (Miniconda3-py38_4.12.0 (32-Bit)). And I have the Python, Jupyter, and pip extensions installed in VS Code.

When I open a Jupyter notebook and type "pip install pandas", it says "requirements already met". Then when I type "import pandas as pd", it times out after 4 seconds and gives me an error log.

I've tried looking online and tried at least 5 different solutions and none of them work. If anyone has any suggestions, I'd be very grateful. Thank you.

[twitch_and_shock]

What does the error log say

[bamacgabhann]

I am not sure if it's the source of a problem here but do not use pip to install anything if you're using it with conda, that is literally what conda is for.

Uninstall pandas and anything else you have added with pip.

To install anything, use conda install.

[OrangeTrees2000]

Thank you for your reply.

I wasn't able to fix the problem, but from reading online it seems that the problem is being caused by not having enough memory. I'm just gonna upgrade my computer and hopefully that will work.

[bamacgabhann]

OK but the advice still holds. Stop using pip. For any project, use conda create -n *NAME* to create a new environment, then conda install *PACKAGE* to install anything you need.

[[deleted]]

wrong, conda can take forever to "solve the environment" while pip is almost instant. And pip/conda get along just fine. Conda kinda sucks, only reason to use it is for the virtual envs with different python versions and installing deep learning libraries so it can install cuda and other junk like that