Python Workshop

Working Group Python Workshop

For Researchers in Mathematics and Computer Science

Date/Time Talk details
26/02/2020
4:00 pm - 4:10 pm
Fabien Mathieu - Converting Python plots to tikz with tikzplotlib
Paris-Rennes Room (EIT Digital), 75013 Paris
26/02/2020
3:00 pm - 4:00 pm
Edouard Pineau - Abstract Classes in Python
Paris-Rennes Room (EIT Digital), 75013 Paris
12/02/2020
11:00 am - 12:00 pm
Quentin Lutz - Crawling the web with Scrapy
Paris-Rennes Room (EIT Digital), 75013 Paris
29/01/2020
11:00 am - 12:00 pm
François Durand - Testing in Python
Paris-Rennes Room (EIT Digital), 75013 Paris
15/01/2020
11:00 am - 12:00 pm
Quentin Lutz - Reviewing code using Codecov
Paris-Rennes Room (EIT Digital), 75013 Paris
18/12/2019
11:00 am - 12:00 pm
Nathan de Lara - Documenting code in Python
Doctoral Training Center (EIT Digital), Paris
04/12/2019
10:30 am - 12:00 pm
Marc-Olivier Buob - Introduction to Python (3)
Doctoral Training Center (EIT Digital), Paris
20/11/2019
10:30 am - 12:00 pm
Marc-Olivier Buob - Introduction to Python (2)
Doctoral Training Center (EIT Digital), Paris
30/10/2019
10:30 am - 12:00 pm
Quentin Lutz - Parallel Computing with Joblib and Plotting with Seaborn
Doctoral Training Center (EIT Digital), Paris
16/10/2019
10:30 am - 12:00 pm
Fabien Mathieu - Introduction to CherryPy
Doctoral Training Center (EIT Digital), Paris
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Presentation

Topic: Python programming.

Audience: The Python Workshop is intended for researchers in mathematics and computer science, but anyone can attend online.

Practical details: The sessions are held every third Wednesday from 11:00 am to 12:00 pm (Central European Summer Time), in the premises of the Lincs and online. To receive the invitations, register to the mailing list. Videos, slides and notebooks of previous sessions are on the website.

Coordinator: François Durand (fradurand@gmail.com).

Description:

In the Python Workshop, Python users of all levels share their knowledge. Each member is encouraged to be the speaker of a session: even if you are not a Python expert, the latest package that you’ve begun using is probably not known by everyone, so do not hesitate to present it! Alternatively, if you prefer, you can also simply attend the sessions as part of the audience.

In the past sessions, we covered topics such as:

As a speaker:

  • Do not hesitate to start from an online tutorial or documentation and to prepare a digest of it.
  • You can prepare a lecture, a practical work session, or a mix of the two.
  • Please try to provide code files.