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Welcome to issue 593 of Python Weekly. Let's get straight to the links this week.

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News

Introducing the Data Wrangler extension for Visual Studio Code Insiders
Microsoft announces the launch of Data Wrangler, a data-centric user interface that generates Python code to help data scientists complete their data preparation tasks faster and with fewer errors.

Articles, Tutorials and Talks

Tracking the Fake GitHub Star Black Market with Dagster, dbt and BigQuery
It's easy for an open-source project to buy fake GitHub stars. We share two approaches for detecting them.

Working with Large Data Sets Made Easy: Understanding Pandas Data Types

In this video, we'll show you how to use the Pandas library to make working with large datasets easy. You'll learn about the different data types that Pandas supports and see some examples of how to use them to optimize your memory usage.

Python and SLSA
Supply chain Layers for Software Artifacts (SLSA) is a framework of tools to generate and verify provenance for software artifacts. In the Python ecosystem there are two main types of software artifacts: wheels and source distributions. How can we use the SLSA framework to generate and verify the provenance of Python artifacts?

Distributed Machine Learning at Instacart
How Instacart uses distributed Machine Learning to efficiently train thousands of models in production.

The quantum state of a TCP port
If I navigate to https://blog.cloudflare.com/, my browser will connect to a remote TCP address from the local IP address assigned to my machine, and a randomly chosen local TCP port. What happens if I then decide to head to another site? Is it possible to establish a new TCP connection from the same local IP address and port?

Building And Distributing A macOS Application Written in Python
Even with all the great tools we have, getting a macOS application written in Python all the way to a production-ready build suitable for end users can involve a lot of esoteric trivia.

Keeping the Cloudflare API 'all green' using Python-based testing
Scout is an automated system providing constant end to end testing and monitoring of live APIs over different environments and resources. Scout does it by periodically running self explanatory Python tests.

Python Platformer Game Tutorial for Beginners

Learn how to build a platformer game in Python. This game will have pixel-perfect collision, animated characters, and much much more!

Textual tutorial – build a TODO app in Python
Learn how to build a simple TODO app in Python with this step-by-step Textual tutorial.

Learn Django and Nuxt 3 by Building a Job Board

Learn how to build a job board from scratch using Django and Nuxt 3 (Vue 3). Other technologies you will learn about are Tailwind, Pinia, Django Rest Framework and much much more.

Could you train a ChatGPT-beating model for $85,000 and run it in a browser?

How I am using ChatGPT to increase my productivity coding Django

Django: Parameterized tests for all model admin classes

Caching and Django Rest Framework

Analyzing multi-gigabyte JSON files locally

Interesting Projects, Tools and Libraries

ViperGPT
Visual Inference via Python Execution for Reasoning.

evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

nanoT5
Fast & Simple repository for pre-training and fine-tuning T5-style models.

PyVibe
Generate styled HTML pages from Python.

gerev
ChatGPT search engine for your organization.

pair
REPL environment for GPT pair programming.

dbt_linreg
Linear regression in SQL using dbt.

FateZero
PyTorch Implementation for "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing".

chatblade
A CLI Swiss Army Knife for ChatGPT.

New Releases

Django 4.2 release candidate 1 released

Upcoming Events and Webinars

PhillyPUG Meetup March 2023
There will be following talks

XGBoost Wage Prediction Model Based on 2021 Immigration Data
Supercharge your Python Development Environment with VS Code

Python Barcelona Meetup March 2023
There will be following talks

Cloud Infrastructure, the Software Way
The Archival Datathon: ML competition tips

PyData Manchester Meetup March 2023
There will be following talks

From Jupyter Notebook to an installable Python Package by Slobodan Cicic
Scalable ML with Apache Spark - A Brief introduction of Databricks ML by Yumeng Sun

PyData Copenhagen Meetup March 2023
There will be a talk, Built before buying: Why and how we built a webservice for annotating documents.

PyData Montreal Meetup March 2023
There will be following talks

Deep learning in production at Coveo
How to scale user requirements in your data platform?

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Python Weekly - Python Weekly - Issue 593

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