Python Weekly - Python Weekly - Issue 540

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Welcome to issue 540 of Python Weekly. We are giving away 2 free tickets to 2022 Python Web Conference. If you are interested please submit your entry.

Articles, Tutorials and Talks

Working With Audio Data in Python 
In this video Kaggle Grandmaster Rob shows you how to use python and librosa to work with audio data.

Optimizing Memory Usage in Python Applications
Find out why your Python apps are using too much memory and reduce their RAM usage with these simple tricks and efficient data structures.

My Approach to Automatic Musical Composition
This post introduces an approach to automatic musical composition, including the theory, the algorithm, and a Python package implementation ch0p1n.

How to create 1000+ unique NFT-style images (like Cryptopunk) 
Learn how to use Python to generate a collection of unique profile-picture avatar by layering images from a directory. This is the technique used bymany popular NFT collections like Cryptopunks or Bored Ape.

A Gentle Introduction to Serialization for Python
In this post, you will discover how to use two common serialization libraries in Python to serialize data objects (namely pickle and HDF5) such as dictionaries and Tensorflow models in Python for storage and transmission

Up Your Coding Game and Discover Issues Early 
SonarLint is a free & Open Source IDE extension that helps you find & fix bugs and security issues from the moment you start writing Python code. Simply install from your IDE marketplace. Learn More. SPONSOR

One Voice Detector to Rule Them All
In this article we will tell you about Voice Activity Detection in general, describe our approach to VAD metrics, and show how to use our VAD and test it on your own voice.

Awesome Pandas Tricks - Advent of Code Problems 1-5 
Learn these fun, exciting, unusual and just plain awesome pandas tricks to solve problems from the Advent of Code.

Transfer Learning on Greyscale Images
How to Fine-Tune Pretrained Models on Black-and-White Datasets.

Practical Quantization in PyTorch
Quantization is a cheap and easy way to make your DNN run faster and with lower memory requirements. PyTorch offers a few different approaches to quantize your model. In this blog post, we’ll lay a (quick) foundation of quantization in deep learning, and then take a look at how each technique looks like in practice. Finally we’ll end with recommendations from the literature for using quantization in your workflows.

Some notes on writing parser-based interactive fiction in Python 

How to use httpx, a web client for Python 

Link Prediction Recommendation Engines with Node2Vec


Interesting Projects, Tools and Libraries

WhyProfiler
WhyProfiler is a CPU profiler for Jupyter notebook that not only identifies hotspots but can suggest faster alternatives.

miniboss
The most versatile way to manage containers locally.

TorchStudio
IDE for PyTorch and its ecosystem.

RasgoQL
RasgoQL is a Python package that enables you to easily query and transform tables in your Data Warehouse directly from a notebook.

skillmap
A tool for generating skill map/tree like diagram.

SQLAdmin
SQLAdmin is a flexible Admin interface for SQLAlchemy models.

dirty-equals
Doing dirty (but extremely useful) things with equals.

Nebullvm
Easy-to-use library to boost AI inference leveraging multiple DL compilers. 


Upcoming Events and Webinars

Virtual: PyRVA Meetup March 2022
There will be a talk, Use RestructuredText to create rich email messages.
 
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Python Weekly - Issue 539

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