Working Group Python Workshop
For Researchers in Mathematics and Computer Science
| Date/Time | Talk details |
|---|---|
|
13/10/2021 11:00 am - 12:00 pm |
Fabien Mathieu - Python 101
Paris-Rennes Room (EIT Digital), 75013 Paris |
|
18/06/2021 1:00 pm - 2:00 pm |
Rémy Léone - Git 101 - How to use git in an idiomatic way |
|
26/05/2021 11:00 am - 12:00 pm |
Maxime Mouchet - Asynchronous programming in Python |
|
05/05/2021 11:00 am - 12:00 pm |
Fabien Mathieu - Python profiling |
|
24/03/2021 11:00 am - 12:00 pm |
Sébastien Tixeuil - Python Threads 101 + Python Sockets 102 |
|
03/03/2021 11:00 am - 12:00 pm |
Rémy Léone - Container Overview |
|
10/02/2021 11:00 am - 12:00 pm |
François Durand - Fastcore |
|
27/01/2021 11:00 am - 12:00 pm |
Gérard Burnside - Presentation of Huggingface Transformers library for Natural Language Processing |
|
13/01/2021 11:00 am - 12:00 pm |
Matthieu Gouel - Takeaways of building a research-oriented system |
|
16/12/2020 11:00 am - 12:00 pm |
Sébastien Tixeuil - Python Sockets 101 |
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:
- Python basics: introduction to Python (1, 2, 3), collections, dictionaries, iterators.
- Design patterns: architectural considerations, abstract classes, clean code, building a research-oriented system.
- Scientific packages: pandas, seaborn, tikzplotlib, pytorch, vis.js network, huggingface.
- Other packages: numba, cherrypy, joblib, scrapy, pathlib, gzip, zipfile, tempfile, requests, beautifulsoup, selenium, pygame, simpy, sockets (1, 2), fastcore, asyncio, threads.
- Development environment: jupyter notebook (1, 2), pycharm, conda, profiling.
- Production tools: packaging, documentation, testing, git, codecov, cloud solutions, pyinstaller, containers.
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.