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Building a small Django app with help from AI
This tutorial demonstrates how to build a basic Django idea-voting application using AI as an interactive assistant rather than an autonomous developer. It emphasizes using targeted prompts to generate boilerplate, explain error messages, write tests, and catch edge cases like database race conditions while keeping architectural decisions in the developer’s hands.
python-date-parser
A Rust-backed Python library for fast fuzzy parsing of heterogeneous date strings, with bulk-list and Polars APIs that avoid Python-level iteration and can outperform pure-Python alternatives by orders of magnitude.
Lifeguard
Lifeguard is a static analyzer to detect Lazy Imports incompatibilities and ease the adoption overhead for Lazy Imports in Python.
Saving Jet Fuel
Mark Litwintschik evaluates Scikit-decide and OpenAP for optimizing flight paths and modeling aircraft fuel consumption using an Airbus A320 as the main example. He shows how A* search can combine aircraft performance models with NOAA wind data to find more fuel-efficient routes than simply following the shortest path.
CacheCanary
CacheCanary is a Python CLI and GitHub Action that detects why Claude prompt caching silently stops working on Amazon Bedrock, checks saved requests in CI, and analyzes Bedrock logs to show cache hit rates and the cost of misses.
TurboPython
A Python-to-C++ compiler. Typed Python to native binaries with no Python runtime, no GC, no GIL.
ai-agents-zero-to-hero
Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks.
RuleFlow
A Python research framework and terminal-based IDE (RuleFlow Studio) for modeling, evolving, and analyzing discrete complex systems like ECA and SSS.
Python 3.15 for Data Scientists: Lazy Imports, frozendict, and Tachyon
Python 3.15 adds lazy imports, a built-in frozendict, and the Tachyon profiler. Learn how data scientists can use each, with before-and-after code.
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