Training materials on scientific Python programming and silx libraries.
General topics:
- fabio: Introduction to Fable Input/Output (aka. fabio) library
- gui: Graphical User Interface programming in Python
- oop: Object Oriented Programming in Python
- opencl: GPU programming with PyOpenCL
- optimization: Optimization of compute-bound Python code
- pyfai: Data reduction for scattering experiements
- python: Introduction to Python and numpy
- software_engineering: Software engineering tools and tips for Python
- silx: Features of the silx toolkit"
Keywords: Python, Silx, data analysis, data reduction, data visualisation
Language: English
Licence: Creative Commons Attribution Share-Alike 4.0
Authors:
Thomas Vincent,
Henri Payno,
Pierre Paleo,
Jerome Kieffer 
,
Loic Huder,
Valentin Valls,
Marius Retegan
,
Loic Huder,
Valentin Valls,
Marius Retegan
Training materials on scientific Python programming and silx libraries.
https://github.com/silx-kit/silx-training
https://pan-training.eu/materials/training-materials-on-scientific-python-programming-and-silx-libraries
This repository contains some training materials on scientific Python programming and silx libraries.
General topics:
* Introduction to Python and numpy
* Software engineering tools and tips for Python
silx trainings:
* Features of the silx toolkit
* Introduction to Fable Input/Output (aka. fabio) library"
Python, Silx, data analysis, data reduction, data visualisation
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