natbot

Drive a browser with GPT-3.

https://github.com/nat/natbot

A Complete Guide to Logging in Python with Loguru

This guide will describe the library and its features in detail, and give you an idea of how to integrate it into a typical web application setup. It will also provide some pointers on how to seamlessly migrate from the standard logging module to Loguru.

https://betterstack.com/community/guides/logging/loguru/

Using LaTeX In Python

Python has great support for LaTeX -- in Jupyter, in symbolic math tools, and in third party ...

https://codesolid.com/using-latex-in-python/

Didact AI

The anatomy of an ML-powered stock picking engine

https://principiamundi.com/posts/didact-anatomy/

Find slow data processing tasks (before your customers do)

Here are some of the ways you can discover your data processing jobs are too slow:


Jobs ...

https://pythonspeed.com/articles/slow-data-analysis-tasks/

Carefully exploring Rust as a Python developer

Trying out the Rust programming ecosystem as a 10+ years Python developer. How to do common programming tasks and how the tooling looks like.

https://karimjedda.com/carefully-exploring-rust/

red-box

Red Box is an advanced email box reader library. It is a sister library for Red Mail, advanced email sender. It makes managing your email box in Python very easy.

https://github.com/Miksus/red-box

postgres-wasm

A PostgresQL server running in your browser.

https://github.com/snaplet/postgres-wasm

maigret

Collect a dossier on a person by username from thousands of sites

https://github.com/soxoj/maigret

ctc

ctc is a tool for collecting and analyzing historical data of Ethereum and other EVM chains.

https://github.com/fei-protocol/checkthechain

Decision Trees in Python: Predicting Diabetes

In this post, we’ll be learning about decision trees, how they work and what the benefits are for using them. We’ll also use this algorithm in a real-world data to predict diabetes.

https://statisticallyrelevant.com/decision-trees-in-python-predicting-diabetes/

Coding for Economists

The book aims to give you the skills you need to code for economics, while also giving you bits and pieces of information about programming more generally that might be useful to you.

https://aeturrell.github.io/coding-for-economists/intro.html

SQLAlchemy Tutorial With Examples

Learn to access and run SQL queries on all types of relational databases using Python objects.

https://www.datacamp.com/tutorial/sqlalchemy-tutorial-examples

Control your Windows computer using Telegram

If you work in an office, you are probably told to always lock your computer before you go AFK as a measure of security. In my case, my colleagues will not hesitate to prank whoever forgets his screen unlocked as a punishment. I am a very caring person, so things like these should not happen to me. I must find a way to lock my screen from a distance and preferably via my smartphone.

https://ahmed-z.github.io/the-blog/Control-your-Windows-computer-using-Telegram

Building a Checkers Gaming Agent Using Deep Q-Learning

In this article, we demonstrate how to implement a version of a reinforcement learning technique Deep Q-Learning to create an AI agent capable of playing Checkers at a decent level.

https://blog.paperspace.com/building-a-checkers-gaming-agent-using-neural-networks-and-reinforcement-learning/

eva

Exploratory Video Analytics System.

https://github.com/georgia-tech-db/eva

make-a-video-pytorch

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch.

https://github.com/lucidrains/make-a-video-pytorch

explainable-ai

This repository contains examples and best practices for building explainable AI systems, provided as Jupyter notebooks.

https://github.com/squaredev-io/explainable-ai