PythonHub

Running Python in WebAssembly Python can now be compiled to Wasm. In this post, we show how to run cloud-side Python in a WebAssembly runtime. https://www.fermyon.com/blog/python-wagi

Working with Image Data in Python In this video I show how to work with image data in python! Using the popular python packages matplotlib and opencv you will learn how to open image data, how the data is formatted, some ways to manipulate the data and save it off in a different format. https://www.youtube.com/watch?v=kSqxn6zGE0c

Real Time Inference on Raspberry Pi 4 (30 fps!) https://pytorch.org/tutorials/intermediate/realtime_rpi.html

Text Similarity w/ Levenshtein Distance in Python Building a Plagiarism Detection Pipeline in Python. https://t.co/sBwLcaclXt

hpcaitech / ColossalAI Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training https://github.com/hpcaitech/ColossalAI

palahsu / DDoS-Ripper DDos Ripper a Distributable Denied-of-Service (DDOS) attack server that cuts off targets or surrounding infrastructure in a flood of Internet traffic https://github.com/palahsu/DDoS-Ripper

How we parallelized 600+ pandas functions with Modin Scaling up pandas is hard. With Modin, we took a first-principles approach to parallelizing the pandas API. Rather than focus on implementing what we knew was easy, we developed a theoretical basis for dataframes—the abstraction underlying pandas—and derived a dataframe algebra that can express the 600+ pandas operators in under 20 algebraic operators. https://ponder.io/how-do-we-parallelized-600-pandas-functions-with-modin/

You Can Do Really Cool Things With Functions In Python Here are a few not-so-common things you can do with functions in Python, including closures and partial function application. Functions are incredibly powerful and you can use them to write code that's really clean and often a lot shorter than when relying on classes and object-oriented programming. https://www.youtube.com/watch?v=ph2HjBQuI8Y

Atomos – Atomic Primitives for Python https://atomos.readthedocs.io/en/latest/

What did www.python.org look like from 1996 to 2021? https://whatdiditlooklike.mementoweb.org/post/639415402106142720/what-did-httpswwwpythonorg-look-like-from

Speed up your Pandas code Face it, your pandas code is slow. Learn how to speed it up! In this video Rob discusses a key trick to making your code faster! Pandas is an essential tool for any python programmer and data scientist https://www.youtube.com/watch?v=SAFmrTnEHLg

Processing large JSON files in Python without running out of memory If you need to process a large JSON file in Python, it’s very easy to run out of memory. One common solution is streaming parsing, aka lazy parsing, iterative parsing, or chunked processing. Let’s see how you can apply this technique to JSON processing. https://pythonspeed.com/articles/json-memory-streaming/

obss / sahi A lightweight vision library for performing large scale object detection/ instance segmentation. https://github.com/obss/sahi

Best of Both Worlds: Automated and Dynamic SQL Queries from Python Bring automation to new heights with SQL and Python integrationContinue reading on Towards Data ... https://towardsdatascience.com/best-of-both-worlds-automated-and-dynamic-sql-queries-from-python-5b74a24501b0

Security and Django https://www.mattlayman.com/understand-django/secure-apps/

Python finally offloads some batteries https://lwn.net/SubscriberLink/888043/66bf43728bb39692/

The Beauty of Gradient In a real-life example, let’s explore how this simple but powerful calculation can help you ... https://towardsdatascience.com/the-beauty-of-gradient-7798f4f0dd40

Python Design Patterns https://python-patterns.guide/

DASH101 — Part 1: Introduction to Dash layout Learn to create beautiful custom dashboards in PythonContinue reading on Towards Data Science ... https://towardsdatascience.com/dash101-part-1-introduction-to-dash-layout-810ec449ad43

Building a blog from scratch in 2022 using Hugo, Docker and a bit of Python https://blog.ioces.com/matt/posts/everything-old-is-new-again/