Scientific Python @ SISEO

June 15, 16 and 17 2020

Program

The module has 6 half days. From a pre-established skeleton, the training gradually becomes oriented to meet the specific needs / ideas of the group.

• Half Day 1, 2, 3: Introduction to Python:
  • Work Environments: Spyder, Jupyter.
  • Basic programming in Python.
  • Scientific and graphic libraries for the scientist Numpy, Scipy, Pandas and Matplotlib.
  • Various examples.
• Half day 4: Libraries and documentation
  • Creation of a documented library
  • Document it with Sphinx in collaborative mode with Git and GitLab.
• Half-days 5: "A la carte" themes. Examples:
  • Advanced graphics for publications with Matplotlib (complex graphics, Latex couplings),
  • Image processing / Computed vision,
  • Optimization,
  • Numerical resolution of ordinary differential equations,
  • Machine / Deep Learning (Scikit Learn, PyTorch) …
• Half-day 6: Realization of a project:
  • Each participant proposes to solve a problem with the proposed methods. At the end of this session, the project is realized as a GitLab or GitHub repository.

Needs

• Basics
• General purpose stuff
• Data management with Pandas
• Image processing (SEM, TEM ?)
• Figures with Matplotlib
• Jupyter vs. Spyder
• Classes !
• GUIs
• Git