When should I use pip or conda for package management?

I'm confused about when to use pip and when to use conda. Can you help me understand?

Sure! Pip is the package manager for Python packages, while conda is a package manager that can handle packages from any language. Use pip for Python-specific packages and conda for managing environments and dependencies.

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

Yes, if you're working with data science libraries like NumPy or SciPy, conda is often preferred because it manages binary dependencies better. For pure Python libraries, pip is usually sufficient.

What about virtual environments? How do they fit into this?

Great question! You can create virtual environments with both pip (using venv) and conda. Conda environments are often easier to manage, especially when dealing with complex dependencies.

Is it possible to 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 conda packages first, then use pip for any additional packages.