Generating Chess Puzzles with Genetic Algorithms

We took a library used for function minimization, attached Stockfish to it, and used it to generate surprisingly complex mate in 3 chess puzzles without too much code.

https://www.propelauth.com/post/generating-chess-puzzles-with-genetic-algorithms

Python Charts

Learn data visualization with Python. You will find code examples of Python graphs made with matplotlib, seaborn, plotly and other packages.

https://python-charts.com/

Sanster / lama-cleaner

Image inpainting tool powered by SOTA AI Model

https://github.com/Sanster/lama-cleaner

Finding and analyzing free stock index data with Python and EDGAR

Historical stock index data can be hard to find for free, but when we use the SEC's EDGAR system and Python, we can extract it quite easily.

https://www.wrighters.io/finding-and-analyzing-free-stock-index-data-with-python-and-edgar/

How the Guardian approaches quote extraction with NLP

A case study of the Guardian's spaCy-Prodigy workflow to modularize quote extraction for content creation. This study includes iterative annotation guidelines and custom interface functionality.

https://explosion.ai/blog/guardian

Neograd

A Deep Learning framework created from scratch with Python and NumPy.

https://github.com/pranftw/neograd

pgsqlite

Load SQLite3 databases into PostgresSQL.

https://github.com/bitdotioinc/pgsqlite

How to Build a Knowledge Base Platform Using Redis

Building multi-model applications with Redis Stack is surprisingly straightforward! Follow along with a tutorial that shows how to build a knowledge base in Python that incorporates powerful search features.

https://redis.com/blog/how-to-build-a-knowledge-base-platform-using-redis/

Musings on Python Type Hints

Since starting a new job earlier this year, I've spent a good amount of time learning how to leverage type hints to help write readable, maintainable code. Let's take a look at some patterns that arise in Python where type hinting can get a little bit tricky.

https://samgeo.codes/blog/python-types/

Building an OCR service with Amazon Textract and AWS Lambda

Optical Character Recognition (OCR) automates extracting text from visual assets such as PDFs and images. This tutorial teaches how to use Amazon Textract and AWS Lambda to build an OCR service.

https://www.honeybadger.io/blog/amazon-textract-ocr-lambda/

Understanding Hashing and Equality in Python with __hash__ and __eq__

Learn about how they work, how you should use them, and what you absolutely should not do.

https://t.co/ogQzgjxbZE

How to implement a “dry run mode” for data imports in Django

In data import processes it’s often useful to have a “dry run” mode, that runs through the process but doesn’t actually save the data. This can allow you to check for validity and gather statistics, such as how many records already exist in the database. In this post, we’ll look at how to implement a dry run mode in Django by using a database transaction and rolling it back.

https://adamj.eu/tech/2022/10/13/dry-run-mode-for-data-imports-in-django/

brycedrennan / imaginAIry

AI imagined images. Pythonic generation of stable diffusion images.

https://github.com/brycedrennan/imaginAIry

Ebazhanov / linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

https://github.com/Ebazhanov/linkedin-skill-assessments-quizzes

A Deep Dive Into Date And Time In Python

You can easily get overwhelmed when working with date and time data. There are numerous date and time formats, ISO standards, time zones, and daylight-saving settings. In today’s video, I am taking a deep dive into Python’s built-in datetime package and the available alternatives that can help you quickly deal with this type of data.

https://www.youtube.com/watch?v=TFa38ONq5PY