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Merge pull request #291 from Telomelonia/jupyter-tutorial-docs
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[DOCS] Added Jupyter Notebook tutorial
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dominiquesydow authored Dec 26, 2022
2 parents 56a596f + 6858975 commit 817b40c
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9 changes: 8 additions & 1 deletion docs/external_tutorials_collections.rst
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Expand Up @@ -13,6 +13,13 @@ If you wish to get started first with a Python programming introduction before d
- `Core lessons <https://software-carpentry.org/lessons/>`_ by the `Software Carpentry <https://software-carpentry.org/>`_: Introduction to Python, Git, command line interfaces and more
- `Best practices for Python, Git and Jupyter <https://zenodo.org/record/4630714>`_, a slide deck used in the introduction of our CADD Block course 2021, part of the Master's degree in Bioinformatics curriculum at the Freie Universität (FU) Berlin.

.. _jupyter_tutorial:

Jupyter notebook tutorials
~~~~~~~~~~~~~~~~~~~~~~~~~~

- `The cheat sheet for Jupyter Notebook. <https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Jupyter_Notebook_Cheat_Sheet.pdf>`_
- `How to Use Jupyter Notebook: A Beginner's Tutorial <https://www.dataquest.io/blog/jupyter-notebook-tutorial/>`_

Cheminformatics
~~~~~~~~~~~~~~~
Expand All @@ -21,4 +28,4 @@ The following resources are collections of interesting cheminformatics-related t

- `Curated list of resources from the RDKit UGM 2020 <https://github.com/rdkit/UGM_2020/blob/master/info/curated_list_of_resources.md>`_
- `A Highly Opinionated List of Open Source Cheminformatics Resources <https://github.com/PatWalters/resources/blob/main/cheminformatics_resources.md>`_ by Pat Walters
- `Awesome Cheminformatics <https://github.com/hsiaoyi0504/awesome-cheminformatics#resources>`_ by Yi Hsiao
- `Awesome Cheminformatics <https://github.com/hsiaoyi0504/awesome-cheminformatics#resources>`_ by Yi Hsiao
2 changes: 1 addition & 1 deletion docs/installing.rst
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Expand Up @@ -32,7 +32,7 @@ Install from the conda package
In this example command, you are setting up your workspace in the current directory ``.``; you can use any other path.

You can always return to your TeachOpenCADD material with ``jupyter lab /path/to/your/teachopencadd/workspace``.

If you need an introduction to Jupyter notebooks, please check :ref:`here<jupyter_tutorial>`

Install from the latest development snapshot
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