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Welcome to issue 652 of Python Weekly. Let's get straight to the links this week.

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News

Django Enhancement Proposal 14: Background Workers
Django web applications require background task handling for activities like sending emails and interacting with external services. Although Django lacks a built-in solution for long-running tasks, the ecosystem offers various frameworks that integrate differently with Django. Unlike Laravel, which includes background workers, Django library maintainers must separately implement support for background task backends. This proposal aims to establish a standard interface and base implementation for managing long-running tasks in Django.

Articles, Tutorials and Talks

Streamlit Explained: Python Tutorial for Data Scientists

This Python tutorial will dive into Streamlit, a tool that simplifies the creation of web applications for data science projects. Additionally, it will discuss the differences between Streamlit and other libraries like Dash and Taipy.

How Python Compares Floats and Ints: When Equals Isn’t Really Equal
Another Python gotcha and an investigation into its internals to understand why this happens.

If You Wish to Truly Understand Frappe's Scheduler, You Must First Invent the Universe
The post explains the inner workings of Frappe's scheduler, which allows scheduling recurring jobs and custom code. It delves into the complexities involved, such as handling scheduling delays efficiently without busy looping, and emphasizes the importance of understanding fundamental operating system concepts.

Don't worry about LLMs
The post argues that while large language models (LLMs) are receiving a lot of hype, the engineering systems built around them are similar to previous machine learning systems. It advises practitioners to cut through the hype and treat LLMs as regular engineering and ML problems.

Writing fast string ufuncs for NumPy 2.0
The post details the performance improvements made to string operations in NumPy 2.0 by reworking how they are handled, moving from creating Python objects to operating directly on the raw C data buffers. It provides guidance on writing efficient ufuncs that work with the data buffers and handle data type resolution.

Rapidly creating smoke tests for Django views
A management command for quickly generating tests based off Django's URL routing mechanism.

How good is GPT-4o at generating Flask apps? Surprisingly promising
This article summarizes the findings when asking GPT-4o to generate Flask applications, ranging from a simple "Hello, World!" app to a full-fledged CRUD app with three database models and HTML pages with Tailwind. With careful prompting, GPT-4o can produce working Flask applications and follow (some) best coding practices.

DataFrames at Scale Comparison: TPC-H
We run benchmarks derived from the TPC-H benchmark suite on a variety of scales, hardware architectures, and dataframe projects, notably Apache Spark, Dask, DuckDB, and Polars. No project wins. This post analyzes results within each project and between projects.

pyastgrep and custom linting
Methodology and sample code for using pyastgrep to do custom linting tasks on Python source code.

How AI Can Help Deaf People Hear

This project facilitates communication between Deaf individuals and hearing individuals who do not understand American Sign Language (ASL). It is designed to respect and preserve ASL as the primary language.

Build Interactive Data Apps of Scikit-learn Models Using Taipy
A low-code data pipeline interface to compare various models.

Interesting Projects, Tools and Libraries

LlamaFS
A self-organizing file system with llama 3.

Elia
A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.

Gloe
Gloe is a general-purpose library made to help developers create, maintain, document, and test both operational and flow-oriented code.

mistral-finetune
mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models.

Pandora
Towards General World Model with Natural Language Actions and Video States.

Seismometer
Predictive model evaluation with a focus on healthcare.

Terminal Text Effects
Visual effects applied to text in the terminal.

Zango
Build microservices as tenants on a Django monolith. Avoid the infra & operational overheads. Scale effortlessly.

Koheesio
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.

Upcoming Events and Webinars

Python Milano Meetup June 2024
There will be following talks

PyScript: Python on the browser and beyond
10 hidden traps of Python

PyData Leeds Meetup June 2024
There will be following talks

What shall we watch? Recommender systems at Channel 4
Please AI, What is this?
How Python Empowers Short-Term Innovation in NHS England: Unveiling the Wrapper Magic

PyData Tallinn Meetup June 2024
There will be following talks

Automating customer support with LLMs
Handling Document Signatures at Veriff

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