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Unmute Make text LLMs listen and speak. https://github.com/kyutai-labs/unmute

Optimizing Tool Selection for LLM Workflows: Differentiable Programming with PyTorch and DSPy How local, learnable routers can reduce token overhead, lower costs, and bring structure back to agentic workflows. https://viksit.substack.com/p/optimizing-tool-selection-for-llm?ref=feedle.world

Types are Transforming Python The article describes how type annotations and new typing features have transformed Python, making code more robust, maintainable, and easier to understand by enabling static analysis, better tooling, and safer refactoring. Modern additions like data classes, generics, protocols, and TypedDict have improved both developer experience and runtime capabilities, allowing Python to compete mo... https://spin.atomicobject.com/types-are-transforming-python/

trae-agent Trae Agent is an LLM-based agent for general purpose software engineering tasks. https://github.com/bytedance/trae-agent

Reflections on 2 years of CPython's JIT Compiler: The good, the bad, the ugly https://fidget-spinner.github.io/posts/jit-reflections.html

Solving Wordle with uv's dependency resolver The post describes how the author models Wordle as a dependency resolution problem, using the Python tool uv to encode Wordle’s feedback and constraints as package dependencies. By representing possible words and letter positions as package versions and leveraging uv’s resolver, the author creates an automated solver that efficiently narrows down solutions based on Wordle guesses and fee... https://mildbyte.xyz/blog/solving-wordle-with-uv-dependency-resolver/

Lost Chapter of Automate the Boring Stuff: Audio, Video, and Webcams in Python https://inventwithpython.com/blog/lost-av-chapter.html

microsoft / mcp-for-beginners This open-source curriculum is designed to teach the concepts and fundamentals of the Model Context Protocol (MCP), with practical examples in .NET, Java, TypeScript, JavaScript and Python. https://github.com/microsoft/mcp-for-beginners

Scaling recommendations service at OLX The article details how OLX scaled its Python-based FastAPI recommendation service to handle tens of thousands of requests per second by optimizing infrastructure and architecture. Key strategies included efficient request handling, robust monitoring, and leveraging cloud resources to ensure reliability and scalability during rapid user and data growth. https://tech.olx.com/scaling-recommendations-service-at-olx-db4548813e3a

TEN VAD An open-source solution designed to supercharge your Voice AI Agents with lightning-fast, human-like conversations!Low- latency,lightweight and high performance. https://github.com/TEN-framework/ten-vad

Watchfiles: Simple, modern and fast file watching for Python, written in Rust https://github.com/samuelcolvin/watchfiles

desto desto lets you run and manage your bash and Python scripts in the background (inside tmux sessions) through a simple web dashboard. Launch scripts, monitor their and your system's status, view live logs, and control sessions—all from your browser. https://github.com/kalfasyan/desto

Agentic checkout in ~100 lines of Python The post demonstrates how to build a functional agentic checkout system in around 100 lines of Python using LLMs and the Browser Use library, enabling automated online purchases by navigating, filling forms, and extracting order data. It highlights practical challenges like prompt tuning for determinism, implementing structured outputs with Pydantic, and adding guardrails to ensure safe ... https://sophiabits.com/blog/building-agentic-checkout

throttled-py: Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory). It is available in both synchronous and asynchronous modes, supports waiting and retrying mode, provides access methods such as function call / function calls/decorators/context managers. https://github.com/ZhuoZhuoCrayon/throttled-py

Radiate A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques. https://github.com/pkalivas/radiate

Python Hub Weekly Digest for 2025-07-13 https://pythonhub.dev/digest/2025-07-13/

Application Logging in Python: Recipes for Observability The guide explains how to build robust, production-grade logging in Python by moving beyond basic print statements to use the logging module’s loggers, handlers, formatters, and filters for structured, contextual, and queryable logs. It covers best practices like configuring loggers by module name, using YAML or dictConfig for centralized setup, and adopting JSON output for modern observ... https://www.dash0.com/guides/logging-in-python

Python for Nonprofits Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data. https://github.com/kburchfiel/pfn

Speed Up Django Queries with values() over only() Optimizing Django performance? Use values() instead of only() when you only need specific fields, as it skips full model instantiation and avoids triggering deferred field lookups—boosting query efficiency. The article provides practical guidance on when to choose values() for lightweight data access. https://johnnymetz.com/posts/django-values-over-only/