Python Weekly (Issue 560 July 28 2022)

Python Weekly - Issue 560

Python Weekly

Welcome to issue 560 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

, and how this led to the discovery of a stored command injection vulnerability in Celery. This step-by-step analysis also includes remediation guidance.

Articles, Tutorials and Talks

This post describes a proof-of-concept Python executable (2.7.18 and 3.6.14) built on Cosmopolitan Libc, which allows it to run on six different operating systems (Linux, Mac, Windows, NetBSD, FreeBSD, OpenBSD).

A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.

How do you create a Python package? How do you set up automated testing and code coverage? How do you publish the package? That's what this article teaches you.

90 videos — including talks, tutorials, lightning talks and socials are now available.

We'll harness the power of AI to find things similar to the search query you input, and we'll show you how to deploy that search engine in real life for anyone to use.

Vectorization is a great way to speed up your Python code, but you’re limited to specific operations on bulk data. Learn how to get past these limitations.

Coming off the heels of the scientific python conference, we are delighted to have Guido Imperiale, OSS Engineer at Coiled, to talk with us about this exciting space, including his own work on Dask, remote work benefits, and how distributed computing with the latest Python tools has allowed him to manage large data science projects with ease.

Interesting Projects, Tools and Libraries

A Python compiler, down to native code, using C++

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

Tsuki is a minimalistic open-sourced social media platform, built using Python.

Tool to help understand how django querysets are executed.

A library for differentiable nonlinear optimization.

Training Data (Data Labeling, Annotation, Workflow) for all Data Types (Image, Video, 3D, Text, Geo, Audio, more) at scale.

StatsForecast offers a collection of widely used univariate time series forecasting models, including automatic ARIMA and ETS modeling optimized for high performance using numba. It also includes a large battery of benchmarking models.

New Releases

Upcoming Events and Webinars

This introductory talk will teach you how to build a simple blockchain in Python, including providing an overview of some foundations like the SHA256 hashing and blockchain algorithms.

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