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This Week in Python, with Pydo the Dog
🐾 From FAUNers
faun.dev
A step-by-step tutorial on how to automate an EC2 schedule with Python, Lambda, and CloudWatch.
🔗 Stories, Tutorials & Articles
memgraph.com
Temporal graph neural networks can be used to perform both label classification and link prediction. Learn how to create a simple graph recommendation engine using TGNs on an Amazon product dataset.
cloud.google.com
Learn how to connect to a Cloud SQL database from Python using the Cloud SQL Python Connector.
medium.com
How to setup Pulumi with Cloud Build to automatically call "pulumi up" automatically at every git commit
mckerlie.com
The author created a computer program that generates a unique lightsaber made out of four different parts (blade, hilt, pommel and button) and tweets it out once a day along with some statistics about the lightsaber.
backfill.dev
This guide comes from experience building api backends for a variety of startups in different industries, it serves as a starting point for what the state of “best practise” is for how we think about organising Python projects, structuring code, testing, and common libraries we’ve reused across projects.
📺 Quick Hits
Python 3.11.0rc2 is now available. This release, 3.11.0rc2, is the last preview before the final release of Python 3.11.0 on 2022-10-24.
Github announced the public beta of our larger GitHub-hosted runners for Linux and Windows. With the new, enhanced GitHub-hosted runners, you’ll get access to bigger runner sizes, fixed IP ranges, increased concurrency for your workflows, and more, so you build, test, and ship code fast.
Citus 11.1 is out. New in Citus 11.1, you can now distribute Postgres tables, split shards, and isolate tenants—without interruption, which means without blocking writes. Also included is PostgreSQL 15 beta 4 support—plus shard rebalancing in the background.
To accelerate progress in AI, PyTorch is moving to a new, independent PyTorch Foundation, under the Linux Foundation umbrella. Meta will continue to invest in PyTorch and use it as our primary framework for AI research and production applications at the company.
🎦 Videos, Talks & Presentations
www.youtube.com
A beginner's guide to learning how to process data across an array and blocks of code that repeats until a set condition is met.
www.youtube.com
This video is a benchmark some of the python pandas alternative libraries and benchmark their speed on a large dataset. It looks at four different libraries: Dask, Modin, Ray and Vaex
⚙️ Tools, Apps & Software
github.com
An VS code extension to quickly add frequently used log statements
github.com
Contribute to google-research/t5x development by creating an account on GitHub.
github.com
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.