PythonHub

Building a Django driver for Psycopg 3 https://www.psycopg.org/articles/2021/08/02/psycopg3-django-driver/

Launchpad now runs on Python 3! https://www.chiark.greenend.org.uk/~cjwatson/blog/lp-python3.html

How to Dockerize Django in 5 minutes This tutorial will show you how to Dockerize a Django project in less than 5 minutes. https://justdjango.com/blog/django-docker-tutorial

What's the most simple & elegant piece of Python code you've seen? https://www.reddit.com/r/Python/comments/ovjubg/whats_the_most_simple_elegant_piece_of_python/

Building Jupyter notebook workflows with scrapbook The scrapbook library allows you to save state inside the notebook file itself, making it easier to develop workflows using Jupyter notebooks. https://www.wrighters.io/building-jupyter-notebook-workflows-with-scrapbook/

A Large-Scale Security-Oriented Static Analysis of Python Packages in PyPI This paper examines various security issues in Python packages with static analysis. The dataset is based on a snapshot of all packages stored to the Python Package Index (PyPI). In total, over 197 thousand packages and over 749 thousand security issues are covered. https://arxiv.org/pdf/2107.12699.pdf

The State of Python in 2021 https://deprogrammaticaipsum.com/the-state-of-python-in-2021/

Python 3.10.0rc1 is available https://blog.python.org/2021/08/python-3100rc1-is-available.html

How Airbnb Built “Wall” to prevent data bugs In this post we will outline the challenges we faced while adding a massive number of data checks (i.e. data quality, accuracy, completeness and anomaly checks) to prevent data bugs company-wide, and how that motivated us to build a new framework to easily add data checks at scale. https://medium.com/airbnb-engineering/how-airbnb-built-wall-to-prevent-data-bugs-ad1b081d6e8f

Python3 Tips For Reverse Engineers Five tips to level up your reverse engineering with Python 3. https://www.youtube.com/watch?v=TrAwfQlfDd8

More Python Code Smells: Avoid These 7 Smelly Snags These are 7 code smells to avoid + a bonus smell. The author describes each smell using a Python example and then shows you how to fix it. At the end of the video, there are few general tips to help you avoid introducing code smells in the first place in your design. https://www.youtube.com/watch?v=zmWf_cHyo8s

NumPy views: saving memory, leaking memory, and subtle bugs https://pythonspeed.com/articles/numpy-memory-views/

Uniform Random Sampling of Strings from Context-Free Grammar https://rahul.gopinath.org/post/2021/07/27/random-sampling-from-context-free-grammar/

Python, OCaml, and Machine Learning (2020) https://signalsandthreads.com/python-ocaml-and-machine-learning/

How to install Python Poetry in GitHub Actions in MUCH faster way We use Poetry in a GitHub project. There's a pyproject.toml file (and a poetry.lock file) which ... https://www.peterbe.com/plog/install-python-poetry-github-actions-faster

Python PDF Handling Tutorial In this tutorial, learn how to do various operations like: Extracting and Adding Pages, Texts, Images, Tables, Watermark and much more on a PDF file using Python. https://github.com/prajwollamichhane11/PDF-Handling-With-Python

Towards data-centric machine learning: a short review Data-centric machine learning shifts the focus from fiddling model hyperparameters, to ensuring ... https://ljvmiranda921.github.io/notebook/2021/07/30/data-centric-ml/

Introducing Triton: Open-Source GPU Programming for Neural Networks Triton is an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce. Triton makes it possible to reach peak hardware performance with relatively little effort. https://openai.com/blog/triton/

MaskFormer Per-Pixel Classification is Not All You Need for Semantic Segmentation. https://github.com/facebookresearch/MaskFormer

Playing around with streamlit dashboards https://www.anddt.com/post/streamlit-git-viz/