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PythonHub

PythonHub

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Human-curated Python news, projects, articles & tools. https://pythonhub.dev/

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Python and Qt Simplified. Create a Python GUI in Minutes https://build-system.fman.io/

I made an event-driven system to quickly make GUIs with Python and pyimgui https://pypi.org/project/toolgui/

BlocklyML visual programming tool for Machine learning and Python https://github.com/chekoduadarsh/BlocklyML

This Is Why Python Data Classes Are Awesome Data classes in Python are really powerful and not just for representing structured data. In this video I show you what you can do with dataclasses as well as new capabilities that have been added in Python 3.10. https://www.youtube.com/watch?v=CvQ7e6yUtnw

Object Oriented Programming (OOPS) in Python Object oriented programming is an effective way of writing code. You create classes which are ... https://www.machinelearningplus.com/python/object-oriented-programming-oops-in-python/

Efficient Pandas Dataframes in Python In this video Rob Mulla teaches how to make your pandas dataframes more efficient by casting dtypes correctly. This will make your code faster, use less memory and smaller when saving to disk or a database. https://www.youtube.com/watch?v=u4_c2LDi4b8

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/

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