ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Does it make sense to use Conda + Poetry for a Machine Learning project? Allow me to share my (novice) understanding and please correct or enlighten me: As far as I understand, Conda and Poetry have different purposes but are largely redundant: Conda is primarily a environment manager (in fact not necessarily Python), but it can also manage packages and depe
I'm trying to install python 3.9 in a conda enviroment. I tried creating a new conda env using the following command, conda create --name myenv python=3.9 But I got an error saying package not found because python 3.9 is not yet released So, I manually created a folder in envs folder and tried to list all envs. But I couldn't get the manually created new env
The miniforge installer is a relatively new, community-led, minimal conda installer that (as it says in its readme) "can be directly compared to Miniconda, with the added feature that conda-forge is the default channel". It is unclear what is different between miniforge and Miniconda, or what the miniforge use case is. If miniforge is the same as Miniconda e
python