What are the differences between pip and conda?

What are the differences between pip and conda?

Pip is a package manager for Python packages, while Conda is a package manager for both Python and non-Python packages. Pip installs packages from the Python Package Index (PyPI), whereas Conda installs packages from its own repository.

Can you explain how they handle dependencies?

Sure! Pip installs dependencies as specified in the package's requirements, but it doesn't always resolve conflicts. Conda, on the other hand, manages dependencies more effectively by considering the entire environment and ensuring compatibility.

Which one should I use for data science projects?

For data science projects, Conda is often recommended because it can manage complex dependencies and includes packages for data science, like NumPy and Pandas, in its distribution.

Are there any situations where I should prefer pip over conda?

Yes, if you're working on a project that only requires pure Python packages and you want the latest versions from PyPI, pip might be the better choice.