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Python Weekly - Python Weekly - Issue 576

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Python Weekly
Welcome to issue 576 of Python Weekly. Let's get straight to the links this week.
From Our Sponsor 
 
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News

Arduino Announces Official MicroPython Support
Now C/C++ isn't the only game in town with Arduino partnering with Damien George for official MicroPython firmware on selected board models.


Articles, Tutorials and Talks

Parallel Nested For-Loops in Python
In this tutorial, you will discover how to change a nested for-loop to be concurrent or parallel in Python with a suite of worked examples.

What’s New In Python 3.12
This article explains the new features in Python 3.12, compared to 3.11.

How to Benchmark (Python) Code
There are plenty of ways to measure the speed of your code. Let me show you a few that I considered for the Writing Faster Python series.

unittest’s new context methods in Python 3.11 (with backports)
Python 3.11 only made one change to unittest, but it’s a good one: context manager methods. These methods can simplify setup and teardown logic in many cases, such as dynamic use of unittest.mock. In this post we’ll look at a couple fo examples using the new methods, and a backport you can copy-paste into your projects, in plain and Django flavours.

ABI compatibility in Python: How hard could it be?
This post will cover just one tiny piece of Python packaging’s complexity: the CPython stable ABI. We’ll see what the stable ABI is, why it exists, how it’s integrated into Python packaging, and how each piece goes terribly wrong to make accidental ABI violations easy.

Who controls parallelism? A disagreement that leads to slower code
If you’re using NumPy, Polars, Zarr, or many other libraries, setting a single environment variable or calling a single API function might make your code run 20%-80% faster. Or, more accurately, it may be that your code is running that much more slowly than it ought to. The problem? A conflict over who controls parallelism: your application, or the libraries it uses. Let’s see an example, and how you can solve it.

The Ultimate Coding Setup for Data Science 
In this video I go though how I setup my operating system to code for datascience. We talk about operating system, terminal, IDEs and more.

Getting started with semantic search
Learn about this rapidly developing capability.

Write Chrome Extensions in Python
In Python?!! That’s right, and it’s pretty painless with PyScript.

Trie in Python

Command-line data analytics made easy

Kubernetes Mutating Webhook with Python and FastAPI

Responding to recruiter emails with GPT-3


Interesting Projects, Tools and Libraries

pyjanitor
pyjanitor is a Python implementation of the R package janitor, and provides a clean API for cleaning data.

twitter-archive-parser
Python code to parse a Twitter archive and output in various ways.

SpyGuard
SpyGuard is a forked and enhanced version of TinyCheck. SpyGuard's main objective is to detect signs of compromise by monitoring network flows transmitted by a device.

frame-interpolation
The official Tensorflow 2 implementation of our high quality frame interpolation neural network. We present a unified single-network approach that doesn't use additional pre-trained networks, like optical flow or depth, and yet achieve state-of-the-art results. 

HStream
Easiest interactive python web app using htmx and semantic html.

johnnycanencrypt
Johnnycanencrypt aka jce is a Python module written in Rust to do basic encryption and decryption, and detached signing operations. It uses amazing sequoia-pgp library for the actual OpenPGP operations.

python-omemo
A Python implementation of the OMEMO Multi-End Message and Object Encryption protocol.


New Releases

Python 3.12.0 alpha 2


Upcoming Events and Webinars

PyBerlin 36
There will be following talks
  • Using Numba Effectively Today
  • Random (Earth imaging) Python bits
  • Using Haystack framework for NLP in Python

Pyladies Munich Meetup November 2022
There will be following talks
  • Workflow Engines: the glitter glue for Python Microservices
  • Reproducible ML workflows in AWS with Python and dstack

PyLadies Berlin Meetup November 2022
There will be following talks
  • NLP Challenges in Government Agencies
  • Data4Good: Using your Data Science Skills for the Social Good

Python Barcelona Meetup November 2022
There will be following talks
  • How to resolve the issue with the inconsistency of distributed data in your Python project
  • Introducing JAX: a faster and more efficient Numpy

PyData Amsterdam Meetup November 2022
There will be following talks
  • Applying Network Analytics in KYC
  • Econometrics meets accounting: what can PCA teach us about financial statement data?
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