Which is faster for package installation: pip or conda?

I've heard mixed opinions on whether pip or conda is faster for installing packages. Can you help me understand?

Sure! Generally, pip is faster for installing pure Python packages, while conda can be quicker for packages with complex dependencies.

What about the installation speed for large data science libraries like NumPy or Pandas?

For large libraries, conda often performs better because it installs precompiled binaries, reducing build time.

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

Yes, if you're working in a data science environment with many dependencies, conda is usually the better choice.

Thanks! Is there a way to measure the installation speed of both?

You can time the installation process using the command line. Just use the time command before your install command for both pip and conda.