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Interesting articles and projects for Python developers.
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dograh-hq / dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
agent-toolkit-for-aws
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS.
turbovec
A vector index built on TurboQuant, written in Rust with Python bindings.
Ordered key sharding in DynamoDB
So, you want to keep a sorted index in DynamoDB, but for whatever reason – usually throughput-related – it won't fit on a single partition. What do you do? Today, we look at the available solutions, do the math, and find out which is best.
Django Internationalization - translate your app to multiple languages!
This video explains how Django's internationalization framework enables applications to support multiple languages by detecting a user's active language and serving the appropriate translations. It also demonstrates the makemessages and compilemessages commands, along with common localization approaches such as language cookies and URL-based language prefixes.
💖 Most Popular in the Last Two Weeks
GitHub Pages alternative with native Python
This article shows how to recreate core GitHub Pages functionality using only Python's standard library, including static file serving, automated deployments, and HTTPS support. By extending http.server in just a few dozen lines of code, it demonstrates how native Python tools can power a lightweight static website hosting platform.
remote-cmd
A lightweight Python CLI + API for managing servers over SSH. Add hosts, run commands, transfer files, target groups by tags - no Ansible DSL required.
free-llm-api-keys
The easiest way to access LLM APIs for free - no credit card, no registration. Copy a key from the table below, paste it into your app, and start building.
pyappdist – Build installers for Python apps
Testing in Python with pytest: from the basics to advanced techniques
This comprehensive guide covers pytest from basic testing concepts to advanced techniques such as fixtures, parametrization, mocking, and asynchronous testing. It provides practical patterns for building maintainable, scalable Python test suites and leveraging pytest effectively in production environments.
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Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.