What are the differences between pip and conda for dependency management?

What are the differences between pip and conda for dependency management?

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

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 or require specific versions of libraries, Conda is more versatile.

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

Yes, you can use both, but it's important to manage them carefully. It's recommended to use conda to create the environment and install packages, and then use pip for any additional packages that are not available in the conda repository.

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

Common issues include dependency conflicts and version mismatches. Mixing the two can lead to an unstable environment, so it's best to stick to one package manager when possible.