<commit_before>===========================================
External Resources, Videos and Talks
===========================================

For written tutorials, see the :ref:`Tutorial section <tutorial_menu>` of
the documentation.

New to Scientific Python?
==========================
For those that are still new to the scientific Python ecosystem, we highly
recommend the `Python Scientific Lecture Notes
<https://www.scipy-lectures.org/>`_. This will help you find your footing a
bit and will definitely improve your scikit-learn experience.  A basic
understanding of NumPy arrays is recommended to make the most of scikit-learn.

External Tutorials
===================
<commit_msg>DOCS Fix broken link (#23449)<commit_after>===========================================
External Resources, Videos and Talks
===========================================

For written tutorials, see the :ref:`Tutorial section <tutorial_menu>` of
the documentation.

New to Scientific Python?
==========================
For those that are still new to the scientific Python ecosystem, we highly
recommend the `Python Scientific Lecture Notes
<https://scipy-lectures.org>`_. This will help you find your footing a
bit and will definitely improve your scikit-learn experience.  A basic
understanding of NumPy arrays is recommended to make the most of scikit-learn.

External Tutorials
===================

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