Python Weekly - Python Weekly - Issue 570

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Welcome to issue 570 of Python Weekly. Let's get straight to the links this week.
From Our Sponsor 
 
Deepnote is a data notebook for collaboration: 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

Didact AI
The anatomy of an ML-powered stock picking engine

Building a Checkers Gaming Agent Using Deep Q-Learning
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.

12 Beginner Concepts About Type Hints To Improve Your Python Code 
Just like unit tests, type hints take developer time but pay off in the long run.

Learn Python by Thinking in Types 
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.

A Complete Guide to Logging in Python with Loguru
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.

All The Ways To Introspect Python Objects at Runtime
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.

Decision Trees in Python: Predicting Diabetes
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.

Building logistics projects with GitHub ecosystem and Github Copilot 
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.

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

Making Music From Images With Python
The memes are alive with the sound of music.

Phony PyPi package imitates known developer
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.

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

Control your Windows computer using Telegram
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

Coding for Economists
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

natbot
Drive a browser with GPT-3.

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

matrix-webcam
Take your video conference from within the matrix.

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

eva
Exploratory Video Analytics System.

red-box
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
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
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.

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

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

postgres-wasm
A PostgresQL server running in your browser.

arnis
Generate cities from real life in Minecraft using Python.


New Releases

Django security releases issued: 4.1.2, 4.0.8, and 3.2.16


Upcoming Events and Webinars

PyBerlin 35
There will be following talks
  • How to become a FastAPI Expert
  • PyScript
  • Much ado about None

Cleveland Python Meetup October 2022
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!!

PyData Bristol October 2022
There will be a talk, Optimization Methods in Python.

PyData PDX October 2022
Explore the New Hotness: Text-to-Image Diffusion Models.
 
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