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76231980
Python Cookbook 3e: Recipes for Mastering Python : 3rd Edition: No. 3
88% of respondents would recommend this to a friend
Nº de artículo:
76231980
UYU 2794
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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
Comprehensive Recipes
Features a wide array of practical recipes that aid in real-world application, helping users master Python and solve common programming challenges with ease.
Expert Guidance
Written by seasoned Python experts, ensuring high-quality content that addresses both beginners' and advanced learners' needs to deepen their knowledge and skills.
Illustrated Examples
Includes clear illustrations and examples, making complex topics more accessible and enhancing the learning experience for visual learners.
Detalles de producto
- 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.
-
Software Developers
Perfect for professionals needing quick reference recipes for solving common programming challenges efficiently.
-
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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Introduction to Programming Editorial Review
Python Cookbook 3e: Recipes For Mastering Python : 3rd Edition is a comprehensive guide published by O'Reilly that caters to experienced Python developers. With its 704 pages, this edition unveils a wide array of programming solutions structured in concise recipes that cover everything from basic language constructs to advanced topics such as decorators and metaprogramming. Reviewers have praised the book for its insightful explanations, particularly highlighting how it offers a 'why' behind the 'how', making it a valuable resource for developers looking to deepen their understanding of Python. While some users appreciate the depth of content for enhancing their coding skills, it's noted that the book assumes a certain level of Python knowledge, making it less suitable for beginners.
Customer Reviews & Ratings
653 valoraciones de los clientes
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5 estrella
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4 estrella
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ventajas
- In-depth recipes for intermediate Python developers
- Explains both how to code and why
- Covers advanced topics like decorators and metaprogramming
- Concise problem-solution discussions for clarity
- Provides real-world programming solutions
Contras
- Cover design may not appeal to everyone
Product Price History
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UYU 2794
Haz tu pedido ahora y recíbelo por ahí Jueves, Octubre 15
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características y beneficios
- 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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