Python Programming Blog

Learn a practical, step-by-step approach to speed up your Python programs. This post covers profiling with cProfile and tracemalloc, micro-benchmarking with timeit and perf, memory and line profiling, and how generators, context managers, and asyncio affect performance — with clear, runnable examples.

Discover how Python decorators can simplify cross-cutting concerns, improve performance, and make your codebase cleaner. This post walks through advanced decorator patterns, real-world use cases (including web scraping with Beautiful Soup), performance benchmarking, and robust error handling strategies—complete with practical, line-by-line examples.

Learn how to build a production-ready REST API using **FastAPI** and **SQLAlchemy**. This hands-on guide walks you through core concepts, a complete example project (models, schemas, CRUD endpoints), deployment tips, CLI automation, data seeding via web scraping, and how this fits into microservice architectures with Docker.

Learn how to design and implement custom Python iterators that are robust, memory-efficient, and fit real-world tasks like streaming files, batching database results, and async I/O. This guide walks you step-by-step through iterator protocols, class-based and generator-based approaches, context-manager patterns for clean resource management, and how to combine iterators with asyncio and solid error handling.

Unlock the full power of Python's list comprehensions to write clearer, faster, and more expressive code. This guide walks intermediate developers through essentials, advanced patterns, performance trade-offs, and practical integrations with caching and decorators to make your code both concise and robust.