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Robust Python: Write Clean and Maintainable Code 1st Edition
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Product Details
| Publisher | O'Reilly Media |
| Publication date | August 17, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 378 pages |
| ISBN-10 | 1098100662 |
| ISBN-13 | 978-1098100667 |
| Item Weight | 1.33 pounds (600 grams) |
| Dimensions | 7 x 0.78 x 9.19 inches (17.8 x 2 x 23.3 cm) |
Product Description
Robust Python: Write Clean and Maintainable Code 1st Edition
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Software Development Editorial Review
"Robust Python: Write Clean and Maintainable Code 1st Edition" is a great resource for Python developers who want to learn about writing efficient and maintainable code. This book covers a wide range of topics, including code style, debugging, testing, and profiling. The author's writing style is clear and concise, making it easy to follow along and understand the concepts presented. Moreover, the book provides practical examples that can be applied immediately. One of the primary advantages of this book is that it is aimed at intermediate to advanced Python developers who already have a good grasp of the language and are looking to improve their coding abilities. The book is well-structured and covers various topics related to writing robust Python code, including object-oriented programming, data structures, and algorithms. One potential disadvantage of this book is that it doesn't provide an in-depth discussion of specific libraries, such as the Pydantic library. However, this is a minor quibble, as the book introduces several good libraries that can be used to enhance Python code. Overall, "Robust Python: Write Clean and Maintainable Code 1st Edition" is an excellent resource that Python developers should Consider adding to their libraries.
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Pros
- Clear and concise writing style
- Practical examples that can be applied immediately
- Covers a wide range of topics related to writing robust Python code
- Well-structured and aimed at intermediate to advanced Python developers
Cons
- Doesn't provide an in-depth discussion of specific libraries such as Pydantic
Product Price History
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