Python Weekly (Issue 570 October 6 2022)

Python Weekly - Issue 570

October 06, 2022

Python Weekly

Welcome to issue 570 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

: Explore data from the comfort of your browser and without the heavy setup. Connect to your stack via dozens of built-in integrations. Work together with real-time collaboration, commenting, and version control. Share your work by simply sending a link.

Articles, Tutorials and Talks

The anatomy of an ML-powered stock picking engine

In this article, we demonstrate how to implement a version of a reinforcement learning technique Deep Q-Learning to create an AI agent capable of playing Checkers at a decent level.

Just like unit tests, type hints take developer time but pay off in the long run.

Learn Python by thinking in types. The beginner's course focuses on basic programming concepts rather than just teaching the language syntax. It's always helpful to learn from many different perspectives and this course may be just what you need to understand Python.

This guide will describe the library and its features in detail, and give you an idea of how to integrate it into a typical web application setup. It will also provide some pointers on how to seamlessly migrate from the standard logging module to Loguru.

Python provides a lot of ways to ask questions about your code. Whether it's basic things like help() function, builtin functions like dir() or more advanced methods in inspect module - the tools are there to help you find the answers to your questions. Let's find out what kinds of questions about our own code can Python answer for us and how it can help us during debugging sessions, dealing with type annotations, validating inputs and much more.

In this post, we’ll be learning about decision trees, how they work and what the benefits are for using them. We’ll also use this algorithm in a real-world data to predict diabetes.

At the center of really a lot of the most interesting things you want to do in Python. And so that's what we're going to cover today is how to build out all these different things and start from zero. And then what I'm going to do here is build out step by step, all the things that are important. And I'm also going to show you some of the emerging tools and technologies that really help someone go very quickly to become an expert in writing Python function.

Learn to access and run SQL queries on all types of relational databases using Python objects.

The memes are alive with the sound of music.

A recent interesting finding in the Python Package Index (PyPi) attempted to imitate a known open source developer through identity spoofing. Upon further analysis, the team uncovered that the package, raw-tool, was attempting to hide malicious behavior using base64 encoding, reaching out to malicious servers, and executing obfuscated code. In this post, we’re going to take a deeper look at that vulnerability.

Trying out the Rust programming ecosystem as a 10+ years Python developer. How to do common programming tasks and how the tooling looks like.

If you work in an office, you are probably told to always lock your computer before you go AFK as a measure of security. In my case, my colleagues will not hesitate to prank whoever forgets his screen unlocked as a punishment. I am a very caring person, so things like these should not happen to me. I must find a way to lock my screen from a distance and preferably via my smartphone.

Books

The book aims to give you the skills you need to code for economics, while also giving you bits and pieces of information about programming more generally that might be useful to you.

Interesting Projects, Tools and Libraries

Drive a browser with GPT-3.

Collect a dossier on a person by username from thousands of sites

Take your video conference from within the matrix.

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch.

Exploratory Video Analytics System.

Red Box is an advanced email box reader library. It is a sister library for Red Mail, advanced email sender. It makes managing your email box in Python very easy.

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference. 

Embetter implements scikit-learn compatible embeddings for computer vision and text. It should make it very easy to quickly build proof of concepts using scikit-learn pipelines and, in particular, should help with bulk labelling.

This repository contains examples and best practices for building explainable AI systems, provided as Jupyter notebooks.

ctc is a tool for collecting and analyzing historical data of Ethereum and other EVM chains.

A PostgresQL server running in your browser.

Generate cities from real life in Minecraft using Python.

New Releases

Upcoming Events and Webinars

There will be following talks

  • How to become a FastAPI Expert

  • PyScript

  • Much ado about None

Have you ever wanted to contribute to an open source project but have been hesitant or don’t know where to start? Then come to the October edition of CLEpy!!

There will be a talk, Optimization Methods in Python.

Explore the New Hotness: Text-to-Image Diffusion Models.

Our Other Newsletters

 - A free weekly newsletter for programmers.

- A free weekly newsletter for entrepreneurs featuring best curated content, must read articles, how to guides, tips and tricks, resources, events and more.