Python: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
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]] | |||
* uv (soon) | |||
* Mamba/Conda (soon)<br /> | |||
Revision as of 15:10, 12 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
- uv (soon)
- Mamba/Conda (soon)