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Here is a growing list of resources that I've (Mackenzie M.) found useful for learning about various topics.
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## Python
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-[Python.org](https://www.python.org/)
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-[Real Python](https://realpython.com/)
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-[Automate the Boring Stuff with Python](https://automatetheboringstuff.com/)
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## SQL
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-[mySQL](https://dev.mysql.com/doc/)
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-[SQL Zoo](https://sqlzoo.net/)
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## Data Science
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-[DataJoint](https://datajoint.io/)
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## Machine Learning
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-[Scikit-learn](https://scikit-learn.org/)
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-[TensorFlow](https://www.tensorflow.org/)
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-[PyTorch](https://pytorch.org/)
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## Jupyter
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- Dissection of Jupyter ecosystem by Chris Holdgraf https://www.youtube.com/watch?v=t0MjcXZf7SM (40 min⏰)
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- The Guide📙: How to make a JB basics/tips/features by Chris Holdgraf https://www.youtube.com/watch?v=lZ2FHTkyaMU (30 min⏰) - most updated video
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-Similar to 2 from Jupyter meets earth https://www.youtube.com/watch?v=seKOq-VMJgY (as they cover the same topic there are many duplications) updated the past 9 months (22 min⏰)
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- Honorary mention with features and comments from JupyterCon https://www.youtube.com/watch?v=tUDHysfzAxs (30 min⏰)
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- In the documentation it is important to start from the anatomy of jb https://jupyterbook.org/en/stable/start/create.html#anatomy-of-a-book and the command line interface reference https://jupyterbook.org/en/stable/reference/cli.html
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