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Effective Python: 59 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 will help you harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code.
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What Stands Out
Product Details
| Publisher | Addison-Wesley Professional |
| Publication date | February 26, 2015 |
| Edition | 1st |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 9780134034287 |
| ISBN-13 | 978-0134034287 |
| Item Weight | 1.06 pounds (480 grams) |
| Dimensions | 9 x 7 x 0.5 inches (22.9 x 17.8 x 1.3 cm) |
| Part of series | Effective Software Development |
Who Should Buy?
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Intermediate Developers
Developers seeking to enhance their Python skills with practical tips and best practices will greatly benefit from this book.
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Python Teachers
Educators looking for supplementary material to teach Python concepts effectively will find numerous insightful examples and tips.
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Software Engineers
Engineers needing to optimize Python code for better performance and readability will discover valuable, actionable insights.
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Beginners
Absolute beginners might find the content too advanced without foundational knowledge of Python programming concepts.
Product Description
Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)
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Python Editorial Review
**Editorial Review of "Effective Python: 59 Specific Ways to Write Better Python"** "Effective Python: 59 Specific Ways to Write Better Python" is a highly recommended book for both aspiring and seasoned Python developers looking to enhance their coding skills. Many readers have expressed that the book has opened their eyes to numerous concepts and best practices that they were previously unaware of, regardless of their prior knowledge of the language. The book's structure is particularly praised, with its clear and concise presentations of ideas. It begins with foundational concepts, making it accessible for newcomers, yet progresses into more complex topics that challenge even experienced developers. Each "item" presents a specific coding practice, starting with a naive solution that many might instinctively employ and then demonstrating why that approach can be inadequate, followed by a more effective alternative. This method not only clarifies potential pitfalls but also emphasizes the importance of writing cleaner, more efficient Python code. Readers have found the examples to be relevant and contemporary, often reflective of scenarios that programmers face frequently. Many noted the engaging writing style, and the inclusion of side notes adds a layer of depth without overwhelming the reader. The visual presentation is also commendable, with syntax highlighting that resembles an interactive development environment, which enhances comprehension of the material. However, some reviewers expressed a desire for more coverage on certain topics, such as functional programming and testing practices, as these areas are increasingly relevant. The content sometimes requires flipping between pages to connect discussions about code, which is a minor inconvenience. Additionally, while the book is organized logically, some readers suggest that a sequential read may be more beneficial for fully grasping the conceptual builds across chapters. In summary, "Effective Python" achieves its goal of illuminating new and innovative practices within Python programming. It serves as both a reference for seasoned professionals looking for a refresher on good coding design and as an instructional guide for beginners seeking to grasp the nuances of the language. **
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Pros
- Clear and concise writing style
- Step-by-step breakdown of concepts
- Engaging examples relevant to modern programming practices
- Accessible for both beginners and advanced programmers
- Visual aids enhance understanding
Cons
- Limited coverage of functional programming and testing concepts
Product Price History
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Features & Benefits
- Learn 59 best practices for writing better Python code.
- Gain a deep understanding of Python's unique strengths and quirks.
- Transform your coding habits to improve efficiency and maintainability.
- Utilize scenario-driven examples for practical application.
- Applicable to both Python 2.x and 3.x programming environments.
- Systematically enhance your code quality with actionable guidelines.
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