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Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition
85% of respondents would recommend this to a friend
NOK 711
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Product Details
| Publisher | Packt Publishing |
| Publication date | March 25, 2022 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 606 pages |
| ISBN-10 | 1801814015 |
| ISBN-13 | 978-1801814010 |
| Item Weight | 2.26 pounds (1.03 kg) |
| Dimensions | 7.5 x 1.37 x 9.25 inches (19.1 x 3.5 x 23.5 cm) |
Who Should Buy?
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Intermediate Programmers
Users with foundational Python knowledge seeking to enhance their skills with advanced techniques and optimizations.
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Software Developers
Professionals looking to implement design patterns and best practices in their Python applications for improved performance.
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Data Scientists
Individuals aiming to optimize Python code for data processing and analysis tasks, ensuring efficiency in large datasets.
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Complete Beginners
Individuals with no prior programming experience may find the content challenging and overwhelming without foundational knowledge.
Product Description
Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition
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Client-Server Systems Editorial Review
**** The second edition of "Advanced Python Programming" by Quan Nguyen is a comprehensive guide designed for Python enthusiasts looking to elevate their coding skills, particularly those with a foundational understanding of the language. Spanning roughly 550 pages, the book navigates the intricate world of code optimization and design patterns. While the title suggests a focus on design patterns, readers quickly discover that the real meat of the book lies in the first two-thirds, which delve deeply into Python programming techniques and optimization strategies that significantly enhance the reader's coding expertise. Readers appreciate the thorough exploration of various optimization techniques, emphasizing the importance of algorithm selection, which substantially impacts performance. The author's effort to illustrate complex concepts using relatable examples — such as a particle simulator — resonates well, making the learning experience both enjoyable and informative. Furthermore, the book's incorporation of assessment questions and their subsequent answers helps reinforce the material, catering particularly well to those who thrive on interactive learning. However, it’s important to note that "Advanced Python Programming" is not for complete beginners. A solid grasp of the basics of Python is essential, as the content can be overwhelming for those unfamiliar with the language. Some users suggest that splitting the book into smaller volumes might enhance accessibility, as it can be dense. There are also calls for deeper coverage of certain advanced topics, with some users expressing disappointment over missing discussions on specific Python libraries. Despite these criticisms, the book emerges as a valuable resource, offering essential knowledge for professionals who already have experience in Python programming. In summary, if you’re already comfortable with Python and seek to master the nuances and advanced techniques of the language, this book serves as an indispensable guide. **Pros and Cons:** **
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Pros
- In-depth exploration of optimization techniques and design patterns in Python.
- Engaging examples, such as a particle simulator, that enhance understanding.
- Useful assessment questions that reinforce learning.
- Excellent resource for taking Python skills to a professional level.
Cons
- May overwhelm beginners; assumes prior experience in Python.
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