Set Up a Raspberry Pi Server - Host your Python Programs Onsite

In this tutorial we’ll walk through how you can set up your Raspberry Pi as your own home server. We’ll go through what you need to get started, and how to set up the computer and operating system. We’ll go through this process “headless” so you won’t need a spare keyboard / monitor to set up the Raspberry Pi. We’ll be able to SSH directly into it from your main computer.

https://www.youtube.com/watch?v=zwohWYb9zjs

Deploying 5G Around Trees

In this post, I'll walk through how we enriched and integrated ETH's global canopy dataset into our decision-making process for rolling out 5G across California.

https://tech.marksblogg.com/tree-heights-open5g.html

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch.

https://github.com/lucidrains/imagen-pytorch

Tutorial on how to set up Celery workers with Flask and Redis

Celery worker is a simple, flexible, and reliable distributed system to process vast amounts of messages while providing operations with the tools required to maintain such a system. In this tutorial, we will learn how to implement Celery with Flask and Redis.

https://signoz.io/blog/celery-worker/

stitching

A Python package for fast and robust Image Stitching.

https://github.com/lukasalexanderweber/stitching

jina-ai / dalle-flow

A Human-in-the-Loop workflow for creating HD images from text

https://github.com/jina-ai/dalle-flow

A Brief Look at Cpython String

In this article, we will take a brief look at how Python strings are implemented, why they consume so much memory and we will examine certain interesting aspects of Python string.

https://www.heurekadevs.com/a-brief-look-at-cpython-string

simple-homepage

simple-homepage is a command line utility that helps you create a simple static homepage for your browser

https://github.com/fpgmaas/simple-homepage

Stop Messing with Kubernetes Finalizers

Here’s why you should never force-delete Kubernetes resources or remove their finalizers.

https://martinheinz.dev/blog/74

griffe

Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API.

https://github.com/mkdocstrings/griffe

Debugging Tips And Techniques

With this article, we will investigate problem solving techniques for Django apps. The goal is to equip you with tools to fix the real problems that you’ll hit when building your Django site.

https://www.mattlayman.com/understand-django/debugging-tips-techniques/

CustomTkinter

A modern and customizable python UI-library based on Tkinter.

https://github.com/TomSchimansky/CustomTkinter

Python Asynchronous Programming Fundamentals

Python introduced asynchronous programming capabilities in version 3.4 in 2014, with further notable improvements in almost every minor version since. However, to many Python programmers, this area of the language remains esoteric, misunderstood, and underutilized. This article aims to elucidate the fundamental concepts of asynchronous programming as part of the first step towards mastery.

https://jwodder.github.io/kbits/posts/pyasync-fundam/

Peeking and backtracking Python generators

Python generators are mighty, but they lack a couple of useful features. One of them is peeking at the next item without consuming the generator. Even better, what if we could peek any number of items? Another feature lacking from generators is rewinding/backtracking. We will implement both of those features in a couple of different ways.

https://ricardoanderegg.com/posts/peeking-backtracking-python-generator/

Convolutional Neural Networks

Convolutional Neural Networks can be used to train computers to recognize objects in images. This allows us to recognize objects or people in images or video. It is helps automate the process of finding cancerous tumors. It is also used to implement driverless car technology and more.

https://www.youtube.com/watch?v=ad-Qc42Kbx8