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Problem Analysis of python version Control and Development Environment based on pycharm and conda

2025-04-05 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article mainly explains "pycharm and conda in cooperation with the python version control and development environment problem analysis", the content of the article is simple and clear, easy to learn and understand, now please follow the editor's ideas slowly in depth, together to study and learn "pycharm and conda in cooperation with the python version control and development environment problem analysis" bar!

The problem of python version Control and Development Environment carried out by pycharm and conda

Previously, I have been using jupyter for machine learning development and learning. It wasn't until the data science teacher sent us some py reference code (jupyter is ipynb) that I realized I needed a good editor. Don't mention vim, I won't. I was going to use idel, but there doesn't seem to be a mac-based version of this product. Spyter in the experience is also very poor, happens to have the license of jetbrains family bucket, after all, before doing development on idea, using pychram is also an old friend.

To get down to business, I have a complete conda environment for machine learning, and I want to use it directly when building new data science projects, but pycharm doesn't allow it. Pycharm will create a new conda environment for you when you build a new project that matches the name of your project. This is the next one.

I think it's good to do this, after all, a lightweight development environment is what every elegant programmer pursues all his life (vim is awesome).

So all I have to do is. It doesn't count as conda install xxx in the pycharm terminal. This is the same as conda's original intention, as long as I need it.

Note that the conda terminal in pycharm is replaced by the one just established by default, and no conda activate xxx is required.

Thank you for your reading, the above is the content of "python version control and development environment problem analysis with pycharm and conda". After the study of this article, I believe you have a deeper understanding of the problem of python version control and development environment analysis with pycharm and conda, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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