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Welcome to issue 569 of Python Weekly. Let's get straight to the links this week.

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News

TensorStore for High-Performance, Scalable Array Storage
Google has introduced TensorStore, an open-source C++ and Python software library designed for storage and manipulation of n-dimensional data.

Arch Linux removing python2 from the repositories
Python 2 went end of life January 2020. Since then we have been actively cutting down the number of projects depending on python2 in our repositories, and we have finally been able to drop it from our distribution.

Articles, Tutorials and Talks

Build a Reactive Data Streaming App with Python and Apache Kafka

How do you get live notifications from a service that doesn’t support live notifications? Can you watch an online store for price drops? Or track comments on someone else’s YouTube video? Or at work, can you react to changes in another department’s system, when that system doesn’t have a notification API? How do you turn the question-and-answer model of the web into a live-streaming system?

Pandas Groupby Warning
Pandas groupby function can have surprising results when dealing with NaN values. This article is a warning to keep you out of trouble.

How to Build the World's Ugliest Podcast Search Engine with Python
In this post, you'll learn how to search podcast episode transcripts to find words and phrases that were discussed.

Writing REST With Django and Ninja

Django Ninja is a FastAPI inspired library for turning your Django views into REST API end-points. Learn how to get started with Django Ninja, how the interface interacts with Django's URL and ORM mechanisms, and how to apply authentication controls to your REST API.

Use pandas DateOffsets for easy date manipulation
An easy way to manipulate dates is pandas DateOffsets. They handle a number of complicated scenarios, including holidays.

A Hands-on Tutorial for Bayesian Neural Networks
In this tutorial, you will implement various Bayesian neural network methods based on variational inference. We will go through regression tasks to see the applications of uncertainty estimation in practice, including a case study on Bayesian optimisation.

A Deep Dive Into Pathlib And The Magic Behind It

If you’re not yet using pathlib for dealing with files and directories, you’re missing out. This video takes a close look at the pathlib library in Python and explains some of the magic that goes into it, as well as how you can use it in your own code.

5 ways to schedule Jupyter Notebook
Jupyter Notebook is an excellent tool for creating computational documents. There is often a requirement to update the notebook’s results at a selected time interval and publish it to the rest of the team. This post summarizes five different approaches for Jupyter Notebook scheduling.

Automated Deployment of TensorFlow Models with TensorFlow Serving and GitHub Actions
In this post, we will share how we serve a TensorFlow image classification model as RESTful and gRPC based services with TensorFlow Serving on a Kubernetes (k8s) cluster running on Google Kubernetes Engine (GKE) through a set of GitHub Actions workflow

Building a Realtime Chat App with Django Channels and WebSockets
Building stateful web applications can be tricky, unless you use a framework, of course—Django to the rescue! In this article, learn how to build a realtime chat app using Django Channels and WebSockets.

A Python security fix breaks (some) bignums
Typically, an urgent security release of a project is not for a two-year-old CVE, but such is the case for a recent Python release of four versions of the language. The bug is a denial of service (DoS) that can be caused by converting enormous numbers to strings—or vice versa—but it was not deemed serious enough to fix when it was first reported. Evidently more recent reports, including a remote exploit of the bug, have raised its importance—causing a rushed-out fix. But the fix breaks some existing Python code, and the process of handling the incident has left something to be desired, leading the project to look at ways to improve its processes.

High-performance image generation using Stable Diffusion in KerasCV
In this guide, we will show how to generate novel images based on a text prompt using the KerasCV implementation of stability.ai's text-to-image model, Stable Diffusion.

Algorithms in Python – Full Course for Beginners

In this Introduction to Algorithms in Python course, you'll learn about algorithm basics like recursion and then go all the way to working with concepts like dynamic programming. The 5 main course segments include simple recursive algorithms, data structures, divide & conquer, greedy algorithms, and dynamic programming.

The Definitive Guide to Graph Problems
Do you want to learn how to solve graph problems? Are you preparing for a coding interview? Do you want to polish your problem-solving skills? In this article I will try to answer these questions and more, and you will learn the patterns necessary to deal with these problems.

Interesting Projects, Tools and Libraries

datasets-server
Integrate into your apps over 10,000 datasets via simple HTTP requests, with pre-processed responses and scalability built-in.

Rocketry
Rocketry is a modern statement-based scheduling framework for Python. It is simple, clean and extensive. It is suitable for small and big projects.

Refurb
A tool for refurbishing and modernizing Python codebases.

open-prompts
Open Prompts contains the data we use to build krea.ai. Now, you can get access to this data too. You can either download a (large) CSV file with image links and meta-data of >10M generations, or access it through our free API (still in development).

CodeGeeX
An Open Multilingual Code Generative Model.

OFRAK
OFRAK (Open Firmware Reverse Analysis Konsole) is a binary analysis and modification platform

SetFit
Efficient Few-shot Learning with Sentence Transformers.

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Python Weekly - Issue 568

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