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Python Hub Weekly Digest for 2026-04-19
TinyProgrammer
A self-contained device that autonomously writes, runs, and watches little Python programs... forever.
Learn Drone Programming with Python – Tutorial
Learn drone programming using Python and the high-fidelity Pyimverse simulator. The course is designed to take you from the fundamentals of 3D movement to deploying advanced computer vision across five practical, real-world missions. By focusing on simulation first, you can develop intelligent autonomous code for tasks like gesture control and line following without the risk of expensive...
Gradient Boosting Parameters
This post will walk through how you can use the same principles behind Gradient Boosting Machines (GBM) to predict parameters of models in the same way traditional GBMs predict 1-dimensional targets. This allows us to get the benefits of Gradient Boosting (large feature sets, high dimensional interactions, modeling at scale) to fit things like smoothing splines, survival analysis, and pr...
Django Table, Filter and Export With Htmx
The article shows how to combine HTMX, django-tables2, and django-filter to build a reusable “universal table” that supports filtering and exporting in a single view without custom JavaScript. The key idea is consolidating table, filter, and export logic into one composable backend pattern, enabling cleaner views and dynamic UI updates via partial page reloads.
A WYSIWYG word processor in Python
I Replaced Kafka, Redis, and RabbitMQ With One Tool. Here’s What I Learned.
The post’s core idea is that NATS JetStream can replace separate Kafka, Redis, and RabbitMQ setups by covering streaming, queueing, and pub/sub in one system. It argues this can simplify architecture and reduce the operational overhead of running multiple messaging tools for different workloads.
TinyProgrammer
A self-contained device that autonomously writes, runs, and watches little Python programs... forever.
Making friendly classes
A friendly class accepts sensible arguments, has a nice string representation, and supports ...
NumPy as Synth Engine
NumPy can be used as a real time sound synthesis engine, generating all audio directly from mathematical functions like waves, noise, and filters without any pre recorded samples. The broader idea is that powerful general purpose tools like NumPy can be pushed far beyond their intended use, enabling complex systems like music generation through pure computation.
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Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.