Which is better for performance: pip or conda?

Which is better for performance: pip or conda?

Both pip and conda have their strengths. Pip is generally faster for installing pure Python packages, while conda can handle complex dependencies more efficiently.

What about package management and environment handling?

Conda excels in managing environments and dependencies, especially for data science packages, while pip is more straightforward for Python packages.

Are there any benchmarks comparing their performance?

Yes, some benchmarks show that pip can be faster for simple installations, but conda often performs better with larger, more complex packages.

Which one should I use for a data science project?

For data science, conda is often recommended due to its ability to manage dependencies and environments more effectively.