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Clean Code in Python: Develop maintainable and efficient code, 2nd Edition
89% of respondents would recommend this to a friend
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By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code.
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Product Details
- Updated 2nd edition of Clean Code in Python with new features of Python 3.9
- Teaches refactoring techniques and SOLID principles in Python
- Discusses object-oriented programming, software testing, and design patterns
- Provides practical techniques for applying microservices to legacy systems
- Suitable for new and experienced programmers, software architects, and engineers
- Includes a blend of theory and exercises for enhancing Python coding skills
| Publisher | Packt Publishing |
| Publication date | January 6, 2021 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 422 pages |
| ISBN-10 | 1800560214 |
| ISBN-13 | 978-1800560215 |
| Item Weight | 1.59 pounds (720 grams) |
| Dimensions | 7.5 x 0.96 x 9.25 inches (19.1 x 2.4 x 23.5 cm) |
Product Description
Clean Code in Python: Develop maintainable and efficient code, 2nd Edition
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Software Development Editorial Review
**Editorial Review** The second edition of "Clean Code in Python" by Mariano Anaya has garnered positive momentum among both new and seasoned Python developers. Reviewers have found this book to be a comprehensive resource, intertwining fundamental principles of coding with advanced Python concepts. The author adeptly explains both the "what" and "why," providing a nuanced understanding of programming decisions that can significantly affect software quality and maintainability. Many readers appreciate the book’s embrace of the "Pythonic" way to code, stressing practicality over perfection. Anaya's thoughtful exploration of SOLID principles and design patterns resonates with professionals seeking to enhance their coding practices. The book is well-structured, starting with basic coding standards and gradually advancing to intricate topics like decorators, asynchronous programming, and testing methodologies. This carefully paced approach aids both novices and experienced programmers in grasping the intricacies of clean code. While the overall content is well-received, some reviewers noted a desire for more code examples to supplement the theoretical knowledge presented. Additionally, certain critiques touched upon the need for better editing, as some parts were found convoluted or unclear. Nonetheless, the depth of information and insights offered makes it a valuable addition to any programmer's library, especially as Python establishes its place in various domains of development. **
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Pros
- Comprehensive coverage of Pythonic coding principles and best practices.
- Suitable for both beginners and advanced users, providing valuable insights for all levels.
- Clear explanations of complex topics such as SOLID principles, decorators, and asynchronous programming.
- Focus on real-world application and the importance of clean architecture.
- Offers practical advice for unit testing and code refactoring.
Cons
- Some readers found the writing style confusing and in need of more rigorous editing.
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€ 63
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Features & Benefits
- Learn how to write efficient and readable code in Python using best practices
- Understand how to use objects, descriptors, and generators in object-oriented programming
- Discover software design principles for testing and implementing patterns in your code
- Explore microservices and break down monolithic applications into a solid code base
- Designed for both new and experienced programmers aiming to improve efficiency in Python coding
- Includes new features and updated content for Python 3.9
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