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Python Weekly

Welcome to issue 543 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

You Can Do Really Cool Things With Functions In Python

Here are a few not-so-common things you can do with functions in Python, including closures and partial function application. Functions are incredibly powerful and you can use them to write code that's really clean and often a lot shorter than when relying on classes and object-oriented programming.

Running Python in WebAssembly
Python can now be compiled to Wasm. In this post, we show how to run cloud-side Python in a WebAssembly runtime.

How we parallelized 600+ pandas functions with Modin
Scaling up pandas is hard. With Modin, we took a first-principles approach to parallelizing the pandas API. Rather than focus on implementing what we knew was easy, we developed a theoretical basis for dataframes—the abstraction underlying pandas—and derived a dataframe algebra that can express the 600+ pandas operators in under 20 algebraic operators.

Working with Image Data in Python

In this video I show how to work with image data in python! Using the popular python packages matplotlib and opencv you will learn how to open image data, how the data is formatted, some ways to manipulate the data and save it off in a different format.

Text Similarity w/ Levenshtein Distance in Python
Building a Plagiarism Detection Pipeline in Python.

Build internal apps remarkably fast with Retool
Retool is a new approach to building internal apps: we’ve unified the ease of visual programming with the power and flexibility of real code. Drag and drop a form together, and have it POST back to your API in minutes. Deploy instantly with access controls and audit logs. SPONSOR

Real Time Inference on Raspberry Pi 4 (30 fps!)
PyTorch has out of the box support for Raspberry Pi 4. This tutorial will guide you on how to setup a Raspberry Pi 4 for running PyTorch and run a MobileNet v2 classification model in real time (30 fps+) on the CPU.

Complete Natural Language Processing (NLP) Tutorial in Python! (with examples)

In this video we go through the major concepts in natural language processing using Python libraries! We use examples to help drill down the concepts. There is content in this video for all skill levels (beginners to experts).

Data Visualization in Python with matplotlib, Seaborn and Bokeh
In this tutorial, we’ll talk about a few options for data visualization in Python. We’ll use the MNIST dataset and the Tensorflow library for number crunching and data manipulation. To illustrate various methods for creating different types of graphs, we’ll use the Python’s graphing libraries namely matplotlib, Seaborn and Bokeh.

TIL: Parametrized pytest Fixtures
If you reuse a @pytest.mark.parametrize many times, it might be time to define a parametrized fixture instead.

How to make the most of Pydantic

A Deep Dive into NLP Tokenization and Encoding with Word and Sentence Embeddings

How to run uWSGI

Implementing @property, @staticmethod and @classmethod from scratch

Interesting Projects, Tools and Libraries

Gefyra
Blazingly-fast, rock-solid, local application development with Kubernetes!

authentik
The authentication glue you need.

nft-analyst-starter-pack
Tools for Anyone to Analyze NFTs.

ChemicalX
ChemicalX is a deep learning library for drug-drug interaction, polypharmacy side effect, and synergy prediction.

smart-sec-cam
A privacy-focused, intelligent security camera system.

paaster
Paaster is a secure by default end to end encrypted pastebin built with the objective of simplicity.

pokete
A terminal based Pokemon like game.

TensoRF
Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields.

composer
A PyTorch Library for Efficient Neural Network Training.

Xepor
A web routing framework for reverse engineers and security researchers, brings the best of mitmproxy & Flask.

SystemSix
SystemSix is an e-Ink "desk accessory" running on a Raspberry Pi. It is a bit of nostalgia that can function as a calendar, display the weather, the current phase of the moon or just be generally fun to look at.

split-patch
Split your patch similarly to `git add -p` but supporting multiple buckets

Upcoming Events and Webinars

Virtual: PyData Hamburg Meetup March 2022
There will be following talks

Causal Discovery: An Introduction
NLP for Hate-speech detection: Why does it matter and what can we do?

PyData Lancaster Meetup March 2022
There will be following talks

This talk will go over your head: data, hospitals and drones
Let's get graphic: a crash course introduction to graph datastores

Virtual: An Introduction to Graph Databases with GQLAlchemy and Python

Virtual: Neural Search with Jina AI

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Python Weekly - Python Weekly - Issue 543

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