SKU/Artículo: AMZ-B0G6YFF9J2
Python Backend Libraries Cheatsheet: A Practical, Production-Ready Reference for APIs, Databases, Security, and Scalable Backend Systems (Pro ... Git, software engineering, and DevOps.)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.30 kg
0.30 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Stop Memorizing Syntax. Start Building Systems.Backend development has changed. It’s no longer enough to know how to write a Python function. Today’s backend engineers are expected to build APIs that are faster, databases that are scalable, and architectures that are secure.Yet, most Python resources are stuck in the past. They teach you the syntax of a loop but fail to show you how to structure a production-grade application. They leave you drowning in outdated tutorials, incomplete documentation, and "toy apps" that break under real-world traffic.Python Backend Cheatsheet is the antidote to tutorial hell. It is not a textbook. It is a decision engine for professional developers.What’s Inside?This book distills the 20% of Python libraries that handle 80% of real-world production work. It is designed to sit on your desk as a daily reference for the critical decisions you make every week.You will learn: Framework Battles: A definitive, bias-free guide to choosing between FastAPI, Flask, and Django for your specific project needs.Database Mastery: When to use SQLAlchemy vs. Django ORM, and exactly when (and when NOT) to introduce Redis or NoSQL.Architecture Patterns: Practical implementations of the Repository Pattern, Dependency Injection, and Clean Architecture in Python—without the academic fluff.Production Hardening: Security best practices, JWT authentication patterns, and how to avoid the "Global State" mistakes that kill concurrency.System Design & Scale: How to implement background tasks with Celery, handle AsyncIO correctly, and structure microservices.Who Is This Book For?This guide is engineered for three types of readers: The "Tutorial Graduate": You know Python basics but feel overwhelmed by the complexity of a full backend system.The Senior Developer: You need a quick, battle-tested reference to refresh patterns and validate architectural choices.The Job Seeker: You want to crush the System Design interview by speaking confidently about trade-offs, scalability, and modern stack choices.Don't reinvent the wheel. Stop guessing which library to use. Grab the cheatsheet that professional teams use to build solid, scalable Python backends.Scroll up and click "Buy Now" to build your production-ready toolkit today.
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AR$23.831
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AR$16.430
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