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Python Cookbook 3e: Recipes for Mastering Python : 3rd Edition: No. 3
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If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.
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What Stands Out
Product Details
- The book provides original work with modern Python programming techniques and serves as a reference for writing code in a modern style.
- It prioritizes topics that focus on the core Python language and common tasks across various application domains.
- The book is for experienced Python programmers looking to deepen their understanding of the language and modern programming idioms.
- It assumes readers have background knowledge in computer science, data structures, systems programming, etc., and requires conducting further research.
- The book is not designed for Python beginners, as it assumes familiarity with basic Python concepts, and it's not a quick reference manual for specific modules.
| Publisher | O′Reilly |
| Publication date | 23 May 2013 |
| Edition | 3rd |
| Language | English |
| Print length | 704 pages |
| ISBN-10 | 1449340377 |
| ISBN-13 | 978-1449340377 |
| Item weight | 1.13 kg |
| Dimensions | 17.78 x 4.45 x 23.5 cm |
| Part of series | Learning Python |
Who Should Buy?
-
Intermediate Programmers
Ideal for users with basic Python knowledge looking to deepen their understanding through practical examples.
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Software Developers
Perfect for professionals needing quick reference recipes for solving common programming challenges efficiently.
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Self-learners
Beneficial for those self-studying Python who prefer learning through practical applications rather than theory.
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Beginners
Not suitable for absolute beginners; assumes prior knowledge of Python concepts and programming fundamentals.
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Features & Benefits
- For experienced Python programmers
- Focus on modern tools and idioms
- Contains code samples for practical use
- Covers more than a dozen topics
- Includes discussions on how and why the solution works
- Topics include data structures, algorithms, files and I/O, modules and packages, and many more
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