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Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries
87% of respondents would recommend this to a friend
ARS 135995
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What Stands Out
Detalles de producto
| Publisher | Packt Publishing |
| Publication date | July 2, 2021 |
| Edition | 4th ed. |
| Language | English |
| Print length | 714 pages |
| ISBN-10 | 1801077266 |
| ISBN-13 | 978-1801077262 |
| Item Weight | 2.66 pounds (1.21 kg) |
| Dimensions | 7.5 x 1.61 x 9.25 inches (19.1 x 4.1 x 23.5 cm) |
Who Should Buy?
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Aspiring Developers
New developers looking to strengthen their understanding of object-oriented programming in Python will benefit greatly.
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Intermediate Programmers
Programmers with basic Python knowledge seeking to build more robust applications will find valuable insights and practices.
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Software Engineers
Professionals wanting to implement effective object-oriented principles and design patterns in their projects will gain practical skills.
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Complete Beginners
Individuals with no programming background may find the concepts too advanced without prior foundational knowledge.
DESCRIPCIÓN DEL PRODUCTO
Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries
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Object-Oriented Design Editorial Review
The reception for this product is mixed. Some customers feel that the book is difficult to follow, with pages printed cheaply in black and white. Others, who are more experienced in Python and OOP, see this book as an opportunity to take their programming knowledge to the next level. The content is quite dry, and it would require a high level of concentration to follow the exercises and sample code. Some readers found the examples explained in the book abstract, and therefore, hard to follow. However, others found it beneficial to have a book covering modern data types, like NamedTuple, TypedDict, tuples, etc., but found the examples too complicated. The book is mostly praised by the ones who have learned from other books by the same author. They praised the author's tips on writing nice tests, the interesting chapters on Concurrency and Design Patterns, and how the book teaches the differences between OOP and functional programming. The book is not recommended for beginners in Python programming, needing a book with more simplistic instructions.
Customer Reviews & Ratings
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ventajas
- Deep understanding of Python and OOP
- Takes programming knowledge to the next level
- Covers modern data types
- Tips for writing nice tests and interesting chapters on concurrency and design patterns
- Theory-heavy for those looking for a deep dive
Contras
- Poor print quality in black and white
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ARS 135995
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