Robust Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Python write by Patrick Viafore. This book was released on 2021-07-12. Robust Python available in PDF, EPUB and Kindle. Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests
Robust Python
Robust Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Python write by Patrick Viafore. This book was released on 2021-07-12. Robust Python available in PDF, EPUB and Kindle. Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests
Robust Python
Robust Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Python write by Patrick Viafore. This book was released on 2022. Robust Python available in PDF, EPUB and Kindle. Do you use Python? Do you feel like your projects are getting bigger and bigger? Are you feeling the pain as your codebase grows and gets tougher to debug and maintain? Python is an easy language to learn and develop in, but that also means it's easy for systems to grow beyond comprehension quickly. Thankfully, Python has features that help developers overcome maintainability woes. In this book, we're going to look at how to effectively use Python's typing system to the max. We'll look at user defined types, such as classes and enums, as well as Python's type hinting system. We'll explore how to make your Python extensible, and how to have a comprehensive testing strategy as a safety net. At the end, you'll be able to write clearer and more maintainable code using Python types.
Python Object-Oriented Programming
Python Object-Oriented Programming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python Object-Oriented Programming write by Steven F. Lott. This book was released on 2021-07-02. Python Object-Oriented Programming available in PDF, EPUB and Kindle. A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs. What you will learn Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is for If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.
Parallel Programming with Python
Parallel Programming with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Programming with Python write by Jan Palach. This book was released on 2014-06-25. Parallel Programming with Python available in PDF, EPUB and Kindle. A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an experienced Python programmer and are willing to utilize the available computing resources by parallelizing applications in a simple way, then this book is for you. You are required to have a basic knowledge of Python development to get the most of this book.
