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65655844
Robust Python: Write Clean and Maintainable Code (Paperback)
товар №:
65655844
AMD 20457
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What Stands Out
Clean Code Principles
This book emphasizes clean coding practices in Python, providing readers with practical examples to enhance readability and maintainability, making it essential for both beginners and experienced developers.
Real-world Applications
Robust Python includes real-world scenarios and best practices, helping developers apply theoretical concepts to solve real programming challenges effectively, setting it apart from conventional Python programming books.
Comprehensive Guidance
It offers comprehensive guidance on structuring Python projects, making it invaluable for teams seeking to improve their codebase quality and streamline collaboration across various stages of development.
Информация о продукте
- Learn how to use Python's type system effectively for writing clearer and maintainable code
- Discover how to make Python extensible and employ a comprehensive testing strategy for better code quality
- Understand the importance of types in modern development ecosystems
- Explore ways to make Python extensible without adding bloat to your codebase
- Utilize popular Python tools to enhance the safety and robustness of your code
- Implement linters and tests to build a safety net around your codebase and detect common maintainability issues
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2021 |
| Pages | 378 |
| Reading level | Professional and Scholarly |
| Subgenre | Computers |
| Edition | 1st Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Assembled product height | 9.19 in (23.3 cm) |
| Assembled product weight | 1.33 lb (600 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Programmers
Ideal for newcomers to Python who want to learn best practices for writing clean and maintainable code.
-
Intermediate Developers
Great for those with some experience looking to improve their coding standards and practices in Python projects.
-
Software Engineers
Beneficial for professionals aiming to enhance team collaboration and code readability through effective coding techniques.
-
Advanced Experts
Not suitable for seasoned developers who may find the content too basic and lacking advanced programming concepts.
ОПИСАНИЕ ТОВАРА
Robust Python: Write Clean and Maintainable Code (Paperback)
About This Item
Do you want to take your Python coding skills to the next level? Look no further than the Robust Python: Write Clean and Maintainable Code paperback. This book is a must-have for any Python programmer, whether you are a beginner or an advanced user. Developed with the goal of teaching you how to write efficient and readable code, Robust Python provides valuable insights and tips for optimizing your Python programs.
The book covers a wide range of topics, including Python programming best practices, coding examples, code quality, and code optimization. With this book, you will not only learn the fundamental concepts and techniques of Python programming, but also master advanced programming patterns and strategies. You will discover how to make your code more concise, maintainable, and robust. Whether you are a beginner looking to build a strong foundation in Python programming or an experienced developer seeking to enhance your coding skills, Robust Python is an invaluable resource.
It is filled with practical examples, easy-to-understand explanations, and hands-on exercises to reinforce your learning. Investing in a copy of Robust Python is the first step towards becoming a more proficient Python programmer. Don't miss this opportunity to add this highly recommended book to your programming library. Get your hands on Robust Python today and start writing clean and maintainable code like a pro.
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Особенности и преимущества
- Importance of types in modern development ecosystems
- How type choices reflect specific intents
- Python extensible without adding bloat
- Popular Python tools to increase safety and robustness of codebase
- Current code to detect common maintainability gotchas
- A safety net around codebase with linters and tests
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