Tools, Tips and Tricks

Working Group Tools, Tips and Tricks

Formerly known as: The Python Workshop.

Date/Time	Talk details
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
02/12/2020 10:45 am - 12:15 pm	Fabien Mathieu - Pyinstaller / Vis.js Network
18/11/2020 10:45 am - 12:15 pm	Thomas Tournaire - SimPy Package tutorial

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Presentation

Topic: Tools, tips and tricks for researchers in mathematics and computer science.

Audience: The group “Tools, Tips and Tricks” is intended for researchers in mathematics and computer science, but anyone can attend online.

Practical details: The sessions are held every third Wednesday from 10:30 am to 11:30 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:

Historically, this working group was dedicated to sharing knowledge about the Python language. Nowadays, while we keep an important focus on Python, we also discuss other tools and practices: other programming languages, operating systems, software, etc. In the future, we could also touch non-computer topics, such as research methodology, efficient bibliography, etc.

In the past sessions, due to the exclusively-Python-oriented aspect of the group, we covered a lot of topics in Python, such as:

Python basics: introduction to Python (1, 2, 3), Python 101, developping with style, collections, dictionaries, iterators.
Design patterns: architectural considerations (1, 2), abstract classes, clean code, building a research-oriented system, object-oriented programming, SOLID principles.
Scientific packages: pandas, seaborn, tikzplotlib, pytorch, vis.js network, huggingface, Gym and Stable Baselines, CVXPY, Petting Zoo, Tree-sitter, Scyther.
Other packages: numba, cherrypy, joblib, scrapy, pathlib, gzip, zipfile, tempfile, requests, beautifulsoup, selenium, pygame, simpy, sockets (1, 2), fastcore, asyncio (1, 2), threads.
Development environment: jupyter notebook (1, 2), pycharm, conda, profiling.
Production tools: packaging (1, 2), documentation, testing (1, 2), git, codecov, cloud solutions, pyinstaller, containers.

But we also covered other 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 if relevant.