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- Clean Code in Python: Develop maintainable an...
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87441850
Clean Code in Python: Develop maintainable and efficient code, 2nd Edition: Write Scalable, Readable, and Maintainable Code with Modern Python
89% of respondents would recommend this to a friend
Preces #:
87441850
€ 63
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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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What Stands Out
Improved Practices
Enhances coding efficiency with updated best practices for writing clean code, ensuring maintainability and readability in Python projects, benefiting both novice and experienced developers.
Comprehensive Guidance
Offers in-depth explanations and real-world examples, empowering developers to grasp complex concepts easily, making it ideal for anyone looking to elevate their Python coding skills.
Focused on Python
Tailored specifically for Python programming, this edition addresses common pitfalls in the language, reducing debugging time and enhancing overall project quality for development teams.
Produkta informācija
- 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 | 6 Jan. 2021 |
| Edition | 2nd |
| Language | English |
| Print length | 422 pages |
| ISBN-10 | 1800560214 |
| ISBN-13 | 978-1800560215 |
| Item weight | 721 g |
| Dimensions | 19.05 x 2.44 x 23.5 cm |
Who Should Buy?
-
Beginner Programmers
New Python developers will find essential principles of clean coding and best practices to improve their coding skills.
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Software Architects
Architects can learn to create scalable systems by adopting clean coding principles that ensure maintainability and efficiency.
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Code Reviewers
Individuals responsible for code reviews will benefit from understanding best practices for personal and team coding standards.
-
Advanced Developers
Expert programmers may find the content basic and not sufficiently challenging or detailed for their advanced needs.
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Software Architecture Editorial Review
Clean Code In Python Develop Maintainable And Efficient Code, 2nd Edition Write Scalable, Readable, And Maintainable Code With Modern Python offers a comprehensive approach to writing Python with an emphasis on clean and efficient coding practices. This book is ideal for both newcomers and experienced developers looking to refine their skills, covering significant topics like Pythonic code, formatting, and design patterns. Readers appreciate the author's knowledgeable guidance and the easy understanding of complex concepts, making it a great resource for anyone wanting to enhance their programming abilities. While it is a dense material, it serves as both a teaching tool and a valuable reference for real-world applications.
Customer Reviews & Ratings
131 klientu vērtējumi
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5 zvaigzne
76%
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4 zvaigzne
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3 zvaigzne
6%
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2 zvaigzne
0%
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1 zvaigzne
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Pros
- Well-structured content for easy understanding
- Covers best practices for clean coding
- Valuable resource for both beginners and pros
- Focuses on Pythonic principles and context
- Includes comprehensive coverage of design patterns
Mīnusi
- Dense material may require multiple readings
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€ 63
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Funkcijas un priekšrocības
- 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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