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Effective Python: 90 Specific Ways to Write Better Python (Effective Software Development Series)
85% of respondents would recommend this to a friend
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Effective Python offers 90 concise and practical guidelines, tips, and shortcuts to help you write efficient and high-performing Python code for all major areas of programming, along with realistic code examples.
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O que se Destaca
Detalhes do produto
- Updated and Expanded 2nd Edition for Python 3
- Provides 90 Python best practices, tips, and shortcuts with realistic code examples
- Draws from experience building Python infrastructure at Google
- Revises all items from the first edition to reflect evolved best practices
- Covers new guidelines for all major areas of Python and techniques for optimizing performance
- Prepares programmers to make a big impact using Python
| Publisher | Addison-Wesley Professional |
| Publication date | 24 Jan. 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 480 pages |
| ISBN-10 | 0134853989 |
| ISBN-13 | 978-0134853987 |
| Item weight | 1.05 kg |
| Dimensions | 17.78 x 2.29 x 22.86 cm |
| Part of series | Effective Software Development |
Quem Deverá Comprar?
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Intermediate Developers
Those familiar with Python basics can deepen their understanding and improve code quality through practical exercises.
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Software Engineers
Professionals seeking to refine their coding practices and adopt more efficient techniques will benefit significantly from this book.
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Code Reviewers
Individuals involved in code reviews can use this resource to identify common pitfalls and enhance their feedback quality.
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Complete Beginners
Those new to Python may find the content advanced and overwhelming without foundational knowledge and skills.
DESCRIÇÃO DO PRODUTO
Effective Python: 90 Specific Ways to Write Better Python (Effective Software Development Series)
Perguntas e respostas do cliente
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Pergunta:
Is this book suitable for beginners?
Resposta: No, this book assumes some prior experience with Python programming. -
Pergunta:
Is this book focused on Python 2 or Python 3?
Resposta: This is an updated and expanded edition for Python 3. -
Pergunta:
Does this book cover best practices for debugging and testing?
Resposta: Yes, it includes techniques and built-in modules for debugging and testing.
Introduction to Programming Editorial Review
**** "Effective Python: 90 Specific Ways to Write Better Python" has garnered a positive reception among readers looking to deepen their understanding of Python programming. With a clear focus on practical advice and real-world applications, the book is not merely introductory; rather, it is designed for individuals who already possess a foundational knowledge of the language. Readers appreciate its intelligent and comprehensive approach, as it delves into the intricacies and native idioms of Python without oversimplifying the content. Many users note that the book excels in highlighting common pitfalls and offering valuable tips that can elevate the reader's coding skills. The author's commitment to providing actionable insights is echoed in multiple reviews, with commendations for its well-structured format and readability. While it is particularly favorable for those with intermediate Python experience, several reviews emphasize the importance of prior knowledge, as beginners may find it challenging without a solid grasp of the basics. Overall, "Effective Python" is regarded as a must-read for developers seeking to refine their Python proficiency and embrace more efficient programming practices. **
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Prós
- Highly practical and actionable advice for writing Pythonic code.
- Comprehensive and well-organized content that appeals to intermediate users.
- Highlights common traps and offers insightful tips for improved coding practices.
- Intelligent and engaging writing style.
Contras
- Not suitable for beginners; requires prior knowledge of Python basics.
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Recursos e benefícios
- 90 practical guidelines, tips, and shortcuts for efficient Python programming
- Realistic code examples for easy learning
- Coverage of all major areas of Python programming
- Guidelines for writing robust and reusable functions
- Techniques and tools for optimizing performance and quality
- Tips for collaborative development
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