Nowcasting the Next Hour of Rain

DeepMind's latest research and state-of-the-art model advances the science of Precipitation Nowcasting. You can also explore the data they used for training and find a pre-trained model for the UK via

https://deepmind.com/blog/article/nowcasting

Opta

Infrastructure-as-code where you work with high-level constructs instead of getting lost in low level cloud configuration.

https://github.com/run-x/opta

A new AI constraint solver for Python: OptaPy

Python developers can now solve AI planning problems (such as the vehicle routing problem and employee rostering) with OptaPy. This post shows you how to use OptaPy and a bit of plain Python code to tackle a typical mathematical optimization problem: generate a better school timetable schedule for teachers and students.

https://www.optaplanner.org/blog/2021/10/05/ANewAIConstraintSolverForPythonOptaPy.html

7 Ways to Make Your Python Project Structure More Elegant

Here are the best practices for a manageable, scalable, and easily understandable python project ...

https://towardsdatascience.com/python-project-structure-best-practices-d9d0b174ad5d

How Dialpad Moved Its Python AI Development from Pip to Poetry

Learn how DialPad switched from Python's pip to Poetry for next generation package management.

https://thenewstack.io/how-dialpad-migrated-its-ai-development-from-pip-to-poetry/

Essential Linux Command-Line Tricks for Computer Vision Researchers

In this post, we go through some useful command-line tricks which can help Computer Vision ...

https://towardsdatascience.com/essential-linux-command-line-tricks-for-computer-vision-researchers-27d4f013d9a

Pithus

Pithus is a free and open-source platform to analyze Android applications for activists, journalists, NGOs, researchers...

https://beta.pithus.org/about/

Pip vs Conda: an in-depth comparison of Python's two packaging systems

If you’re using Python in the world of data science or scientific computing, you will soon discover ...

https://pythonspeed.com/articles/conda-vs-pip/

Streamline your Docker builds with Pants

Pants makes it easy and efficient to incrementally build and deploy multiple Docker images from a single repo, with a single command. Each image can consist of a shared base image plus a single PEX (Python EXecutable) file containing all the code, resources and dependencies required by the entry point. Pants knows exactly which images need to be rebuilt and redeployed given a set of Git changes.

https://blog.pantsbuild.org/pants-pex-and-docker/

Ruck

Performant evolutionary algorithms for Python.

https://github.com/nmichlo/ruck

10 Things You Might Not Know About Wikipedia Library In Python

Fetching data is much simpler with a line of code using Wikipedia API!Continue reading on Towards ...

https://towardsdatascience.com/10-things-you-might-not-know-about-wikipedia-library-in-python-61af5d46037d

Configuration is an API, not an SDK

Some guidelines for config management in general and for Python apps in particular.

https://hernantz.github.io/configuration-is-an-api-not-an-sdk.html

Poly

A generic text conversion/processing tool.

https://github.com/3digitdev/poly

SQLAlchemy 1.4 async ORM with FastAPI

This tutorial will present how to set up a production-ready application running on FastAPI, PostgreSQL, SQLAlchemy 1.4, and alembic. Everything using asyncio.

https://rogulski.it/blog/sqlalchemy-14-async-orm-with-fastapi/

Object Oriented Programming with Python - Full Course for Beginners

Object Oriented Programming is an important concept in software development. In this complete tutorial, you will learn all about OOP and how to implement it using Python.

https://www.youtube.com/watch?v=Ej_02ICOIgs

Finding and reporting an asyncio bug in Python 3.10

I found a bug in Python 3.10. Some notes on how I found it and my process for handling it once I figured out what was going on.

https://simonwillison.net/2021/Oct/9/finding-and-reporting-a-bug/