Trouvé via https://www.bortzmeyer.org/whois-mobi.html

Cela peut être un bon entraînement de le réécrire en #rust #RIIR.
Oh wait https://gitlab.rd.nic.fr/afnic/code-samples/-/tree/main/API/Rust/src?ref_type=heads

This repository contains the code for our paper: "Who's Breaking the Rules? Studying Conformance to the HTTP Specifications and its Security Impact" ACM ASIACCS 2024. It contains a test suite for HTTP conformance tests of responses and test runners to run it on both local web servers and on real websites.

A faster implementation of the rust datetime library

Automate de Traque de Termes et de Recherche dans les Arrêtés Préfectoraux (Attrap)

Outil permettant d'effectuer de la veille d'arrêtés prefectoraux

A future cargo for python?

A blog post on it: https://astral.sh/blog/uv

Mann kann erst skalieren, dann optimieren, wenn es ein Drittels des Tages dauert. Der erste Prozess, um PDFs zu erzeugen, ist total innefizient. Es zeigt auch, dass Optimierungen der letzte Schritt des Produkts ist. Sie haben damit lange gelebt. Die Architektur ist eine gute Beispiel für horizontale Skalierung.

Great and awesome! Small search engines can be useful indeed.

The source code repository: https://github.com/gyptazy/manpageblog/tree/1.0

Advantages of types: they are here to help, improve readability, and provide context

A nice explanation of python.

EDIT 2023-05-19: I will read it when I will use the language seriously again.

Resources for the python programming language

A package.json can be provided in order to scan dependencies. It searches for risks.

Checks how vulnerable is a package.
It provides informations to asses if a package is safe enough for the use case.

The tool provides analysis for each line of code too.

A python script to help red teamers discover KeePass instances and extract secrets.

1. use product instead of nested python for-loops
2. use the walrus operator for assignment expressions
3. use ternary conditional operator if the assignment is simple
4. use lambda function to define simple functions
5. use list comprehensions
6. leverage the Higher Order functions of python such as map and other iterable functions.
7. use union operators to merge dictionaries
8. use f-strings to format strings
9. use asteriks for unpacking iterables and destructuring assignment