Intermediate Python Error Handling and Debugging Lab: 50 Robustness Exercises to Build Reliable Code Using Try-Except, Logging, and Unit Tests for Professional-Grade Scripts
Format:
Paperback
En stock
0.47 kg
Sí
Nuevo
Amazon
USA
- Elevate Your Python Skills: Master Error Handling, Debugging, and Testing for Bulletproof CodeAre you tired of Python scripts crashing at the worst moments? In a world where software reliability can make or break projects—from AI models to data pipelines—building robust code is essential. Intermediate Python Error Handling and Debugging Lab is your hands-on guide to transforming fragile scripts into professional-grade, resilient applications. With 50 targeted robustness exercises, this lab-style workbook equips intermediate Python developers with the tools to handle exceptions gracefully, debug efficiently, and test rigorously.Dive deep into Python's error ecosystem: Start with foundational concepts like understanding exceptions and common pitfalls, then advance to sophisticated try-except patterns, custom exception creation, and logging strategies for production environments. Explore unit testing with Python's built-in libraries, mastering advanced techniques like mocking and integration testing. Real-world case studies bring it all together, showing how to apply these skills in scenarios like web scraping, API integrations, and scalable systems.Whether you're a developer aiming to reduce downtime, a team lead seeking maintainable code, or an aspiring pro in AI/ML/cloud computing, this book provides practical, step-by-step exercises with sample solutions in the appendix. You'll learn to anticipate edge cases, log insightful data, and write code that scales without surprises. Backed by best practices for production-ready scripts, including Python exception hierarchy references and debugging tool recommendations.Don't let bugs derail your progress—grab Intermediate Python Error Handling and Debugging Lab today and build code that stands the test of time. Perfect for self-study or classroom use, this 2025 edition ensures you're ahead in the fast-evolving Python landscape. Level up your reliability game now!
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