Learning material
Contents
Learning material¶
Here is a collection of tutorials tutorials, examples of Jupyter notebooks, and cheat sheets to learn about the Jupyter/Python environment and SimpleITK
Tutorials¶
Video tutorials¶
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Transparent Research 101: Overview playlist on why and how to do open and reproducible research
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Jupyter notebook and python for scientists: Overview of the Jupyter/python environment
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Scipy conference: In between conference talks, there are tutorials on Jupyter and the main scientific libraries
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pyData conference: In between conference talks, there are tutorials on Jupyter and the main scientific libraries
Hands-on tutorials¶
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SimpleITK notebooks: Collection of all the SimpleITK functionalities: image I/O, filters, etc.
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SPIE 2019 workshop: Tutorial on how to use SimpleITK
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OpenMR Benelux 2020: Basic Python and one medical image analysis example
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Imperial College: Notebooks for an academic course
Jupyter notebooks¶
Examples of notebooks in medical image analysis¶
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ORMIR community notebooks: Notebooks created by our community!
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JCMSK notebooks: Our notebooks on musculosketelal imaging-based research
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Nipype: Several notebook tutorials on how to use Nipype (neuroimaging)
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DLTK: Examples for a deep learning package
Examples of notebooks in other fields¶
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A gallery of interesting Jupyter Notebooks: Notebooks used in other disciplines and for various purposes
Cheat sheets¶
There are plenty of cheat sheets online that summarize main commands and tricks for python and its packages. Here the links to some of them: