Python Weekly - Issue 509

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Python Weekly

Welcome to issue 509 of Python Weekly. Let's get straight to the links this week.
Articles, Tutorials and Talks

Top 3 Most Important Fourier Transforms in Python 
This video delves into the libraries of sympy and scipy to take a look at Fourier analysis in python and looks specifically at 1. Fourier Transforms, 2. Fourier Series, and 3. The Discrete Fourier Transform.

Highly accurate protein structure prediction with AlphaFold
Nature has published the latest iteration of AlphaFold, a computational approach employing machine learning for predicting full-chain protein structure with high accuracy.

Beautiful ideas in programming: generators and continuations
This post summarizes what the author has learned from an attempt to gain a deeper understanding of two important concepts in programming: Python’s generators and Scheme’s continuation.

namedtuple in a post-dataclasses world
namedtuple has been around since forever, and over time, its convenience saw it used far outside its originally intended purpose. With dataclasses now covering part of those use cases, what should one use named tuples for? In this article, we take a look at exactly that, with a few examples from real code.

Maps with Django (part 2): GeoDjango, PostGIS and Leaflet
A quickstart guide to create a web map with the Python-based web framework Django using its module GeoDjango, the PostgreSQL database with its spatial extension PostGIS and Leaflet, a JavaScript library for interactive maps.

Monitor your home's temperature and humidity with Raspberry Pis and Prometheus
Instrument a Prometheus application with Python on Raspberry Pis to collect temperature sensor data.

Making Sense Of Settings
All Django apps need to be configured in order to run properly. In this article, we will dig into how Django lets you configure your project using a settings module. We'll also look at ways to be extra effective with settings.

Complete Glossary of Keras Neural Network Layers (with Code)
Learn the purpose and instantiation for Core layers, Pooling layers, Preprocessing layers, etc.


Interesting Projects, Tools and Libraries

AlphaFold
This package provides an implementation of the inference pipeline of AlphaFold v2.0.

MVT
MVT is a forensic tool to look for signs of infection in smartphone devices.

MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation.

shillelagh
Making it easy to query APIs via SQL.

Chameleon 
Chameleon is yet another PowerShell obfuscation tool designed to bypass AMSI and commercial antivirus solutions.

Parallelformers
An Efficient Model Parallelization Toolkit for Deployment.

PIX
PIX is an image processing library in JAX, for JAX.

byp4xx
Pyhton script for HTTP 40X responses bypassing. Features: Verb tampering, headers, #bugbountytips tricks and 2454 User-Agents.

Multimerge
Multimerge is a Python package that implements an algorithm for lazily combining several sorted iterables into one longer sorted iterator. It is a drop-in replacement for heapq.merge in the Python standard library.

CodeGen
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models. 

Muler
A search engine for drug information built with Flask.


New Releases

Python in Visual Studio Code – July 2021 Release
These are some of the notable changes introduced in this release:
  • A faster way to configure project roots via a new Pylance quick fix
  • Selecting a Python interpreter no longer changes settings
  • New debugger features: step into targets and function breakpoints


Upcoming Events and Webinars

Virtual: Scale EDA & ML Workloads To Clusters & Back With Dask
In this talk, you'll learn how to scale your PyData workloads with minimal code changes using Dask so that you can focus on your work without having to learn a new API.

Virtual: Machine Learning and its Potential to Improve Epilepsy Diagnosis
This talk is an overview of how new applications of ML could soon provide physiologists with better quantitative tools to improve workflow and diagnostic accuracy. 

Virtual: PyData Berlin & PyData Hamburg July 2021 Meetup
There will be following talks
  • AI based visual assistance system
  • Introducing Elyra: Extending JupyterLab for AI
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