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Python Weekly

Welcome to issue 565 of Python Weekly. Let's get straight to the links this week.

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News

Heroku Ending Free Tier
Our product, engineering, and security teams are spending an extraordinary amount of effort to manage fraud and abuse of the Heroku free product plans. In order to focus our resources on delivering mission-critical capabilities for customers, we will be phasing out our free plan for Heroku Dynos, free plan for Heroku Postgres, and free plan for Heroku Data for Redis, as well as deleting inactive accounts.

Articles, Tutorials and Talks

Multiprocessing Pool in Python
This guide provides a detailed and comprehensive review of the multiprocessing.Pool in Python, including how it works, how to use it, common questions, and best practices.

Building a backend from scratch using only OpenAI Codex
Developing with Codex is a bit special, and it sometimes takes a few attempts to get it to write exactly what you want it to. But in broad strokes, getting from nothing to something in just 10 prompts is really impressive and encouraging.

Using Python to vectorize artwork for PCBs
Gluing together clever libraries to make beautiful printed circuit boards.

Bayesian Age/Period/Cohort Models in Python with PyMC
This post shows how to use pymc to build Bayesian APC models in Python and presents a series of increasingly sophistocated systems of priors to resolve the inferential challenges these models pose.

Building modern Python API backends in 2022
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.

Improving The Software Design Of The Financial Dashboard - Part 3/3

In the final part of this miniseries, I show you how to improve the software design of the financial dashboard application, including adding internationalization both to the dashboard ui as well as to the financial data.

Don’t append rows to a pandas DataFrame
Appending rows to a pandas DataFrame can be a very expensive operation. Use pd.concat the correct way to do it efficiently.

The Jupyter+git problem is now solved
Jupyter notebooks don’t work with git by default. With nbdev2, the Jupyter+git problem has been totally solved. It provides a set of hooks which provide clean git diffs, solve most git conflicts automatically, and ensure that any remaining conflicts can be resolved entirely within the standard Jupyter notebook environment. To

Stable Diffusion with Diffusers
In this post, we want to show how to use Stable Diffusion with the Diffusers library, explain how the model works and finally dive a bit deeper into how diffusers allows one to customize the image generation pipeline.

Interesting Projects, Tools and Libraries

PyNLP
PyNLP Lib is an open source Python NLP library that provides functionality for both web and local development.

ruff
An extremely fast Python linter, written in Rust.

pandas-cheatsheet
An interactive Pandas Cheat sheet using PyScript.

VNext
Next-generation Video instance recognition framework on top of Detectron2 which supports SeqFormer(ECCV Oral) and IDOL(ECCV Oral)).

FISSURE
The RF and reverse engineering framework for everyone

DataSloth
Natural language Pandas queries and data generation powered by GPT-3

Upcoming Events and Webinars

PyBay2022
Like the always-sold-out PyCon, PyBay 2022 will be one day of fun geeking out with awesome developers on one of your favorite topics - Python!

PyData Amsterdam Meetup September 2022
There will be following talks

Machine learning at Scale; Real Time Predictions in the Payment Flow
Predicting Article Demand with Temporal Fusion Transformers

PyData Paris Meetup September 2022
There will be following talks

The State of Arrow
Visual Programming in JupyterLab with Blockly

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Python Weekly - Python Weekly - Issue 565

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