Covers advanced Pythonic thinking for efficient code structure and readability
Explains Python's metaprogramming tools for powerful code reuse
Delves into Python's error model to improve robustness in code
Deep dives into Python's object system and automated testing for production quality
Provides actionable strategies for troubleshooting and debugging using Python logging
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Once you've mastered the basics of Python, how do you skill up to the top 1%? How do you focus your learning time on topics that yield the most benefit for production engineering and data teams-- without getting distracted by info of little real-world use? This book answers these quest