SKU/Artículo: AMZ-B0FZWPXYHB
High-Performance Python: The Advanced Playbook: Mastering Concurrency, Cython, and Asynchronous Code for Production-Scale Applications
Format:
Kindle
Detalles del producto
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.15 kg
0.15 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Is your Python application hitting a wall? Are your API endpoints timing out? Do your data processing scripts take hours instead of minutes? The "fix it later" approach has failed, and you're now facing the high cost of slow code. The solution isn't to just "write cleaner code." The solution is to become a performance engineer. High-Performance Python: The Advanced Playbook is your comprehensive guide to the complete performance lifecycle. This book provides a rigorous, step-by-step process to hunt down any bottleneck—whether it's CPU, I/O, or memory—and apply the correct, production-grade solution. You will learn to:Diagnose Like an Expert: Stop wasting time on the wrong optimizations. Use cProfile and line_profiler to identify the exact hot spot that matters.Fix Problems for Free: Master the "low-hanging fruit" that yields massive gains. You'll learn why set lookups, str.join(), and @lru_cache are your most powerful first-line tools.Choose the Right Concurrency Model: Finally understand the "when" and "why" of Python's concurrency stack.multiprocessing: The "sledgehammer" to smash the GIL for heavy CPU-bound tasks.threading: The "scalpel" to manage a few I/O-bound tasks (like API clients).asyncio: The "master chef" to handle 10,000+ concurrent I/O connections with almost zero overhead.Achieve C-Level Speed: When Python itself is the bottleneck, you'll learn to use Cython. You'll add C-level static types (cdef) to your Python code and release the GIL (nogil), achieving 200x+ speedups without leaving your favorite language.Build Systems That Last: Learn the architectural patterns that separate scripts from services. You'll build resilient applications using Redis for caching, RQ for job queues, and monitoring for real-time insight.From algorithmic optimization to enterprise-grade caching, this book is your guide to building, deploying, and scaling fast, fault-tolerant, and professional Python applications. Your journey to becoming a high-performance Python expert starts here. Add this book to your cart today.
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