Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
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Updated
Jun 3, 2024 - Jupyter Notebook
Python is a dynamically-typed garbage-collected programming language developed by Guido van Rossum in the late 80s to replace ABC. Much like the programming language Ruby, Python was designed to be easily read by programmers. Because of its large following and many libraries, Python can be implemented and used to do anything from webpages to scientific research.
Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
Python app for generating scrambles for standard "Rubik's" puzzles.
Automated threat intel feed parsing and consolidation💻👾🤖
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Fork of Mutmut, mutation testing system for Python projects. API mutmut-compatible. Faster using --parallelize option (about 4x). Installable using poetry. Type-checked with mypy. Work in progress but it should work fine. Force push risks!
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Soluções para desafios de programação no URI e Codeforces 💻. Explore meu progresso em algoritmos e compartilhe suas ideias neste repositório de programação competitiva 🧑💻📒.
Repo for scraping TD precious metals website, tracking price changes
A Python decorator to generate redacted and nicely formatted log entries
GitHub Actions Repository for Automated Tweeting
Connect APIs, remarkably fast. Free for developers.
Efficient data transformation and modeling framework that is backwards compatible with dbt.
(Your)-Transient Auxiliary Library - Toolkit for simulation and analysis of time-resolved light transport captures - pip install y-tal
Welcome to TheAnimeScripter – the ultimate tool for video processing. Enjoy seamless video processing with our intuitive GUIs for Windows and After Effects.
Privacy enhanced BitTorrent client with P2P content discovery
A program that can scrape Letterboxd lists from an input URL. The output CSV contains information about the film title, release year, director, cast, personal rating, average rating and a lot more from an input URL.
An Open Source Machine Learning Framework for Everyone
Created by Guido van Rossum
Released February 20, 1991