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Explore the theoretical foundations of reinforcement learning, from Markov Decision Processes and Bellman equations to Q-learning and deep reinforcement learning, with practical insights and minimal code examples.

A deep dive into the producer-consumer pattern for web scraping. We'll build a solution from scratch with Python's native coroutines (yield) and compare it to the elegance of Go's channels and the power of asyncio.

Explore how DuckDB is revolutionizing local data processing with its in-process, column-oriented architecture that delivers exceptional analytics performance from a single file database.

Learn how to transform Victor Hugo's 1,400-page Les Misérables into structured, queryable data using Gemini 2.5 Flash and ontology-driven extraction. This comprehensive guide shows how to map complex relationships across massive documents with perfect context preservation, turning unstructured text into actionable business intelligence.

Learn how to build scalable async job processing systems with FastAPI, Redis, and Celery through a practical fraud detection use case that processes user clickstream data.