<p style="margin:0px">It’s easy to start coding with Python, which is why the language is so popular. However, Python’s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.</p><p style="margin:0px"></p><p style="margin:0px"><b><i><b>Effective Python </b></i></b>will help you master a truly “Pythonic” approach to programming, harnessing Python’s full power to write exceptionally robust and well-performing code. Using a concise, scenario-driven style, Brett Slatkin brings together 59 Python best practices, tips, and shortcuts, and explains them with realistic code examples.</p><p style="margin:0px"></p><p style="margin:0px">Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You’ll learn the best way to accomplish key tasks, so you can write code that’s easier to understand, maintain, and improve. </p><p style="margin:0px"></p><p style="margin:0px">Key features include</p><ul><li><div style="margin:0px">Actionable guidelines for all major areas of Python 3.x and 2.x development, with detailed explanations and examples</div></li><li><div style="margin:0px">Best practices for writing functions that clarify intention, promote reuse, and avoid bugs</div></li><li><div style="margin:0px">Coverage of how to accurately express behaviors with classes and objects</div></li><li><div style="margin:0px">Guidance on how to avoid pitfalls with metaclasses and dynamic attributes</div></li><li><div style="margin:0px">More efficient approaches to concurrency and parallelism</div></li><li><div style="margin:0px">Better techniques and idioms for using Python’s built-in modules</div></li><li><div style="margin:0px">Tools and best practices for collaborative development</div></li><li><div style="margin:0px">Solutions for debugging, testing, and optimization in order to improve quality and performance</div></li></ul>