Python — a simple yet powerful language, which is used in a wide range of fields. Writing code in Python is easy, but making it readable and suitable for reuse and maintenance can be a challenge.
The fourth edition of this...
book is supplemented with best practices, useful tools, and standards that professional developers apply, which will help you not only overcome these difficulties but also master the latest capabilities and advanced concepts of the language.
The book starts with an easy warm-up that will introduce you to the latest improvements in Python, syntax elements, and useful tools that make development more efficient. Additionally, the initial chapters will help programmers with experience in other languages successfully integrate into the Python ecosystem. The following chapters are dedicated to common design patterns and programming methodologies — such as event-driven programming, parallelism, and metaprogramming.
You will also examine complex code examples and solve substantive tasks, linking Python with C and C++ and creating extensions that combine the strengths of different languages. The final chapters discuss the full application lifecycle after deployment.
By the end of the book, you will master the development of efficient and easy-to-maintain code in Python.
Python — a simple yet powerful language, which is used in a wide range of fields. Writing code in Python is easy, but making it readable and suitable for reuse and maintenance can be a challenge.
The fourth edition of this book is supplemented with best practices, useful tools, and standards that professional developers apply, which will help you not only overcome these difficulties but also master the latest capabilities and advanced concepts of the language.
The book starts with an easy warm-up that will introduce you to the latest improvements in Python, syntax elements, and useful tools that make development more efficient. Additionally, the initial chapters will help programmers with experience in other languages successfully integrate into the Python ecosystem. The following chapters are dedicated to common design patterns and programming methodologies — such as event-driven programming, parallelism, and metaprogramming.
You will also examine complex code examples and solve substantive tasks, linking Python with C and C++ and creating extensions that combine the strengths of different languages. The final chapters discuss the full application lifecycle after deployment.
By the end of the book, you will master the development of efficient and easy-to-maintain code in Python.
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