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Python is a high-level, interpreted programming language popular in scientific computing for its readability and its enormous ecosystem of third-party libraries — NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and many more. This page describes how to use Python on Anunna: the provided modules, how to manage your own packages with virtual environments or Miniforge, and how to expose an environment as a Jupyter kernel.
Python is a high-level, interpreted programming language popular in scientific computing for its readability and its enormous ecosystem of third-party libraries — NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and many more. This page describes how to use Python on Anunna: the provided modules, how to manage your own packages with virtual environments or Miniforge, and how to expose an environment as a Jupyter kernel.


* [[Python/Modules|Modules]]
* [[Python/Modules|Modules]] - Locally built and optimized python packages. Recommended for best performance
* uv (soon)
* [[uv]] - Rust based version and environment manager.
* [[Python/Conda|Conda]]<br />
* [[Python/Conda|Anaconda]] - Popular version and environment manager.
 
 
== See also ==
== See also ==



Latest revision as of 14:24, 24 August 2026

Python is a high-level, interpreted programming language popular in scientific computing for its readability and its enormous ecosystem of third-party libraries — NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and many more. This page describes how to use Python on Anunna: the provided modules, how to manage your own packages with virtual environments or Miniforge, and how to expose an environment as a Jupyter kernel.

  • Modules - Locally built and optimized python packages. Recommended for best performance
  • uv - Rust based version and environment manager.
  • Anaconda - Popular version and environment manager.

See also