An example of a multithreaded application.Work delegation and background processing.Inversion of control and dependency injection.Using function annotations and abstract base classes.The map(), filter(), and reduce() functions.Real-life example – lazily evaluated attributes.Multiple inheritance and Method Resolution Order.Class model and object-oriented programming.Python in Comparison with Other Languages.Module-level _getattr_() and _dir_() functions.Alternative – ChainMap from the collections module.Incorporating shells in your own scripts and programs.Virtual development environments using Vagrant.Useful Docker and Docker Compose recipes for Python.Poetry as a dependency management system.Application-level environment isolation.Application-level isolation versus system-level isolation.Where are we now and where are we going?.It should also be a good introduction to Python 3.9 for those who are still a bit behind and continue to use other older versions. The Python programming book is intended for expert programmers who want to learn Python's advanced-level concepts and latest features.Īnyone who has basic Python skills should be able to follow the content of the book, although it might require some additional effort from less experienced programmers. Extend and integrate Python with code written in C and C++.Demystify metaprogramming in Python with metaclasses.Learn modern syntax elements of Python programming, such as f-strings, enums, and lambda functions.Effectively package Python code for community and production use.Explore modern ways of setting up repeatable and consistent Python development environments.Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation.īy the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. Throughout this book, you'll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Implement effective Python data structures and algorithms to write, test, and optimize code.Create manageable code to run in various environments with different sets of dependencies. Discover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matching.Gain a deep understanding of building, maintaining, packaging, and shipping robust Python applications Key Features
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