Pip vs. Conda: When Should You Use Both?

Understanding the Differences Between Pip and Conda

Pip, as you mentioned, is a widely known package manager for Python packages. However, you've also encountered conda, another package manager used to install IPython. This raises the question: why consider conda when pip is already available?

Contrasting Roles of Pip and Conda

To answer this, let's delve into the distinction between pip and conda. As stated in the Conda blog:

"[Pip, easy_install, and virtualenv]...are focused around Python, neglecting non-Python library dependencies...", such as HDF5 or MKL.

In contrast, Conda extends beyond Python packages by managing library dependencies outside Python's ecosystem. Additionally, like virtualenv, Conda establishes virtual environments for isolated package installations.

Comparing Conda to Buildout

Given its broader capabilities, a more appropriate comparison for Conda is Buildout, which also handles both Python and non-Python installation tasks.

Interoperability and Exchange of Packages

Due to Conda's unique packaging format, interoperability with pip is not possible. Pip is incapable of installing Conda packages, necessitating the coexistence of both tools.

Key Points Summary

• Conda encompasses a wider scope than pip, extending beyond Python packages to non-Python library dependencies.
• pip and Conda cannot exchange packages due to different packaging formats.
• Conda can create virtual environments, similar to virtualenv.
• There may be instances where both pip and conda are required, as some packages may not be available through Conda.

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