This repository provides some advice and guidelines for researchers and professors working in applied mathematics, statistics or machine learning. The primal objective is to provide such information for people in my lab, but others might benefit from the resources as well. You will find a focus on: writing scientific documents (Tex / LaTeX / BibTeX), coding (with Python) and sketching figures with Inkscape. Feel free to fork the repository (by clicking Fork in the top-right corner of the page) and submit pull-request to improve it.

In the LaTeX section is provided:

• Large harmonized reference file for my group : references_all.bib

• Snippets used for LaTeXing with Sublime text (XXX TODO: to be described for VSCode too!).

• LaTeX / TeX templates and examples:

article.tex	beamer_js.tex	beamer_tl.tex	exam.tex	scribe.tex

In section draft-package an example of a Python package to start a new project. If you are looking for more help on (scientific) Python I can only recommend my course with B. Charlier, see: https://github.com/bcharlier/HMMA238

In the Images and Inkscape section, I am giving some insights on using images in science and communications, and discuss why Inkscape is an incredible tool to master for a PhD student or a modern researcher.

You can create your personal website seamlessly by following the instructions here.

In section guidelines, standard information and work practices for working in my the group is provided. Information on summer schools, fundings tips for traveling, etc. is also given.

• Joseph Salmon: http://josephsalmon.eu

• Tanguy Lefort: https://tanglef.github.io/

• Mathurin Massias: https://mathurinm.github.io/

• Quentin Bertrand: https://qb3.github.io/

• Florent Bascou: https://bascouflorent.github.io/

• Nidham Gazagnadou: https://ngazagna.github.io/

• Camille Garcin: https://garcinc.github.io/Camille-Garcin/