Why You Should Use Data Classes in Python

Don’t you know what a Data Class is? You know how to use it? And what is the difference with a regular class? Here in this post I will try to answer these questions and many more.

https://www.giulianopertile.com/blog/why-you-should-use-dataclasses-in-python/

Create an auto-updating dataset on Kaggle with Deepnote

In this tutorial, we will set up our Deepnote environment to work with Kaggle, pull and clean some data from the internet, and then schedule the data to auto-update using Deepnote and the Kaggle library.

https://www.datafantic.com/create-an-auto-updating-dataset-on-kaggle-with-deepnote/

A Theoretically Devastating Cyber Attack on America’s Gas Stations

Could an attacker with few lines of Python code shutting down over 7,000 fueling stations in the United States leave the nation crippled?

https://medium.com/@RoseSecurity/a-theoretically-devastating-cyber-attack-on-americas-gas-stations-ff1d9bbaf1

s3sqlite

Query SQLite files in S3 using s3fs.

https://github.com/litements/s3sqlite

k4yt3x / video2x

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

https://github.com/k4yt3x/video2x

Building open source downscaling pipelines for the cloud

We describe our experiences building cloud-based data analysis pipelines for climate model downscaling, including specific challenges we faced and lessons we learned.

https://carbonplan.org/blog/cloud-downscaling-pipelines

Evolution of Access Control Explained Using Python

This article presents three access control methods beginning with Access Control List (ACL) - the mechanism implemented by Multics - then explore Role Based Access (RBAC) followed by Attribute Based Access (ABAC).

https://blog.symops.com/2022/09/07/evolution-access-control-python/

Machine Learning From Scratch Full course

To master machine learning models, one of the best things you can do is to implement them yourself. Although it might seem like a difficult task, for most algorithms, it is actually easier than you think. So throughout the next 10 days, we will implement one machine learning algorithm each day using Python and sometimes the help of Numpy for certain calculations.

https://www.youtube.com/playlist?list=PLcWfeUsAys2k_xub3mHks85sBHZvg24Jd

Web Scraping with Python – A Step by Step Guide

In this post, we will learn web scraping with python & will scrape web pages using different libraries that python has to offer.

https://www.scrapingdog.com/blog/web-scraping-with-python/

Revup

Revolutionary commit-based code review and workflow tools for git/github.

https://github.com/Skydio/revup

Scaling Robinhood Crypto Systems

In this post, we dive into how we scaled our crypto systems, starting from the need to support hypergrowth in traffic, followed by an extended effort to align on our long-term crypto strategy.

https://robinhood.engineering/scaling-robinhood-crypto-systems-71e15541c302

pypa / pipenv

Python Development Workflow for Humans.

https://github.com/pypa/pipenv

Python Data Viz Cookbook

An interactive cookbook to create graphs with Python.

https://dataviz.dylancastillo.co/

Odyssey

A piece of software that shows a traceroute of a URL redirect path.

https://github.com/IlluminatiFish/Odyssey