What are the best practices for using Conda in data science?

What are the best practices for using Conda in data science?

Some best practices include creating separate environments for different projects, using environment.yml files for reproducibility, and regularly updating packages.

Why is it important to create separate environments?

Creating separate environments helps avoid package conflicts and ensures that each project has the specific dependencies it needs.

How can I export my Conda environment?

You can export your Conda environment by running the command conda env export > environment.yml in your terminal.

What should I do if I encounter dependency issues?

If you encounter dependency issues, try using conda install with specific version numbers or consider creating a new environment.