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News & links about Python programming.
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Write the most clever code you possibly can

The author advocates writing clever code as a form of deliberate practice to enhance programming skills. While emphasizing that such code shouldn't be committed to production, he suggests that experimenting with complex code structures can deepen understanding and prepare developers for challenging scenarios. This approach encourages pushing the boundaries of one's comfort zone to foster...

https://buttondown.com/hillelwayne/archive/write-the-most-clever-code-you-possibly-can/
What IS a Django App?

This post sets the stage for a series on useful Django apps by first clarifying what a Django app is and its role within a project. It highlights the benefits of using separate apps for modularity, clarity, and reusability—for both developers and end-users.

https://www.revsys.com/tidbits/what-is-a-django-app/
Airweave

Airweave is a tool that lets agents semantically search any app. It's MCP compatible and seamlessly connects any app, database, or API, to transform their contents into agent-ready knowledge.

https://github.com/airweave-ai/airweave
kit

kit is a production-ready Python toolkit for codebase mapping, symbol extraction, code search, and building LLM-powered developer tools, agents, and workflows. Use kit to build things like code reviewers, code generators, even IDEs, all enriched with the right code context.

https://github.com/cased/kit
LangGraph Complete Course for Beginners – Complex AI Agents with Python

This video course introduces LangGraph, a Python library for building advanced conversational AI workflows using a graph-based approach. It guides viewers through designing, implementing, and managing scalable dialogue systems, covering both theoretical concepts and hands-on coding exercises.

https://www.youtube.com/watch?v=jGg_1h0qzaM
Template Strings in Python 3.14: Structured Interpolation

Python 3.14 introduces template strings (t""), which return structured Template objects instead of plain strings, enabling full inspection and control of interpolated expressions. This allows safer, customizable rendering for use cases like shell commands, HTML output, logging, and config generation—offering a powerful alternative to f-strings when you need pre-render control.

https://blog.abhimanyu-saharan.com/posts/template-strings-in-python-3-14-structured-interpolation
Dagster - Data Orchestration and Pipelines with Python & DAGs

This video is a practical introduction to using Dagster for Python-based data orchestration, covering core concepts like assets, definitions, scheduling, and the Dagster UI. Through hands-on examples—including building a pipeline with Polars and DuckDB—the tutorial demonstrates how to define, manage, and automate complex data workflows in modern data engineering.

https://www.youtube.com/watch?v=sKqDq4TFbmY
sre-bot

A Google Agent Development Kit (ADK) powered assistant designed to help Site Reliability Engineers (SREs) with operational tasks and monitoring, particularly focused on Kubernetes interactions.

https://github.com/serkanh/sre-bot