Which is better for Python package management: pip or conda?

I'm trying to decide between pip and conda for managing my Python packages. Which one should I choose?

It depends on your needs! Pip is great for installing packages from the Python Package Index, while Conda is more versatile, managing packages and environments.

What are the main differences in how they handle dependencies?

Pip installs packages individually and may not resolve dependencies automatically, while Conda manages dependencies more effectively by installing compatible versions together.

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

Yes, but it's recommended to use one as the primary package manager to avoid conflicts. If you use both, be cautious with dependencies.

Are there any specific scenarios where one is clearly better than the other?

Yes! If you're working with data science or scientific computing, Conda is often preferred due to its ability to manage complex dependencies.