External tutorials and collections ---------------------------------- Python programming ~~~~~~~~~~~~~~~~~~ The TeachOpenCADD platform is not a Python programming course from scratch but teaches how to solve tasks in cheminformatics and structural bioinformatics programmatically. If you wish to get started first with a Python programming introduction before diving into the TeachOpenCADD material, here are a few great resources to do so: - `AI in Medicine course `_ by the `Volkamer Lab `_ and `Ritter Lab `_ at the Charité: Introduction to Python basics, Jupyter Notebook, and important data science packages such as ``pandas``, ``matplotlib``, and ``scikit-learn`` - `Python for Chemists course `_ by the `GDCh/CIC `_ team: Crash-course introduction to Python for natural scientists - `MolSSI Education Resources `_ by `The Molecular Sciences Software Institute `_: Collection of tutorials on Python programming basics and data analysis but also more advanced material on software development and computational molecular science - `Core lessons `_ by the `Software Carpentry `_: Introduction to Python, Git, command line interfaces and more - `Best practices for Python, Git and Jupyter `_, 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. - `5 Minutes of Fame `_ by the Czodrowski Lab are short sessions on Python-centric scientific and teachnological news .. _jupyter_tutorial: Jupyter notebook tutorials ~~~~~~~~~~~~~~~~~~~~~~~~~~ - `The cheat sheet for Jupyter Notebook. `_ - `How to Use Jupyter Notebook: A Beginner's Tutorial `_ Cheminformatics ~~~~~~~~~~~~~~~ The following resources are collections of interesting cheminformatics-related training material, blogs, and books. - `Curated list of resources from the RDKit UGM 2020 `_ - `A Highly Opinionated List of Open Source Cheminformatics Resources `_ by Pat Walters - `Awesome Cheminformatics `_ by Yi Hsiao Structural bioinformatics ~~~~~~~~~~~~~~~~~~~~~~~~~ - `Education & Tutorials `_ by the Bonvin Lab