What are the differences between venv and conda in Python 3.10?

What are the differences between venv and conda in Python 3.10?

Both venv and conda are tools for creating isolated Python environments, but they have different features. venv is part of the standard library and is lightweight, while conda is a package manager that can handle packages from multiple languages.

Which one should I use for data science projects?

For data science projects, conda is often preferred because it simplifies package management and installation, especially for scientific libraries.

Can I use venv with conda packages?

Not directly. venv is designed for Python packages, while conda manages its own environments and packages. You can use them separately but not interchangeably.

Are there any performance differences between the two?

Generally, performance differences are minimal, but conda can be more efficient in managing dependencies for complex packages.