What are the differences between pip and conda for managing dependencies?

What are the differences between pip and conda for managing dependencies?

Pip is the package installer for Python, while Conda is a package manager that can handle packages from any language. Pip installs packages from the Python Package Index (PyPI), whereas Conda installs packages from its own repository.

Which one should I use for my Python projects?

It depends on your needs. If you're working solely with Python packages, pip is sufficient. However, if you need to manage environments and dependencies for multiple languages, Conda is more versatile.

Can I use both pip and conda in the same project?

Yes, but it's generally not recommended due to potential conflicts. If you do, make sure to install packages in a specific order and be cautious about dependencies.

What are some common issues when using pip and conda together?

Common issues include dependency conflicts, where a package installed by pip may not be compatible with one installed by conda, leading to broken environments.