Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition
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Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition
Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition
Numéro d'article: 53350534

Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition

85% des répondants recommanderaient ceci à un ami

Numéro d'article: 53350534

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Ce qui se démarque

Proven Techniques
Learn effective techniques that enhance performance in Python programming, helping users write faster and more efficient code to solve complex problems.
Design Patterns
Discover essential design patterns that improve code organization and maintainability, empowering developers to create scalable software solutions.
Updated Content
This 2nd Edition features new content and examples, incorporating the latest advancements in Python, ensuring readers stay current with industry standards.

Détails du produit

Discover the proven techniques and design patterns to accelerate your Python programs. Get the 2nd Edition of Advanced Python Programming at Ubuy Cameroon.
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)

À qui est-ce destiné ?

Suitable For
  • Intermediate Programmers

    Users with foundational Python knowledge seeking to enhance their skills with advanced techniques and optimizations.

  • Software Developers

    Professionals looking to implement design patterns and best practices in their Python applications for improved performance.

  • Data Scientists

    Individuals aiming to optimize Python code for data processing and analysis tasks, ensuring efficiency in large datasets.

Not Suitable For
  • Complete Beginners

    Individuals with no prior programming experience may find the content challenging and overwhelming without foundational knowledge.

DESCRIPTION DU PRODUIT

Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition

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Questions et réponses des clients

  • question: What are the key topics covered in Advanced Python Programming, 2nd Edition?

    répondre: Advanced Python Programming, 2nd Edition covers a variety of key topics, including efficient code design, advanced data structures, functional programming, and performance optimization techniques. This edition emphasizes proven techniques and design patterns that enhance the capabilities of Python developers. By mastering these concepts, users can not only accelerate their programming skills but also tackle complex real-world problems, making their applications more robust and efficient.
  • question: Who is the target audience for Advanced Python Programming?

    répondre: The target audience for Advanced Python Programming includes intermediate to advanced Python developers who want to deepen their programming knowledge and skills. This book is ideal for software engineers, data scientists, and application developers looking to optimize their existing Python applications. By focusing on complex topics that build on foundational concepts, this book helps readers enhance their problem-solving capabilities and stay current with industry trends.
  • question: How does this book help improve Python performance?

    répondre: This book helps improve Python performance by teaching proven techniques to optimize code execution and memory usage. It includes strategies such as leveraging built-in libraries, employing multiprocessing, and using efficient data structures. Readers can apply these techniques to enhance their applications' speed and responsiveness, making it particularly useful for projects requiring high-performance computing, such as data analysis, web applications, and machine learning.
  • question: What design patterns are discussed in the book?

    répondre: Advanced Python Programming discusses several key design patterns including Singleton, Factory, and Observer patterns. These patterns are essential for creating scalable and maintainable code. By understanding and applying these design patterns, developers can make their code more modular and easier to manage. This is especially beneficial in large-scale projects where collaboration and code maintainability are crucial.
  • question: Are there practical examples and exercises in the book?

    répondre: Yes, the book includes numerous practical examples and exercises that allow readers to apply the concepts learned in each chapter. These real-world scenarios provide a hands-on approach, enabling developers to practice and reinforce their understanding of advanced techniques. Working through these examples helps solidify learned concepts, making them immediately applicable to current or future projects.
  • question: What programming concepts should I be familiar with before reading this book?

    répondre: Before diving into Advanced Python Programming, readers should have a solid understanding of Python fundamentals, including basic syntax, data types, and control structures. Familiarity with object-oriented programming principles, as well as modules and libraries, is also recommended. This foundational knowledge will enable readers to fully grasp the advanced techniques and concepts presented in the book, thus enriching their learning experience.
  • question: How does the 2nd Edition differ from the 1st Edition?

    répondre: The 2nd Edition of Advanced Python Programming features updated content reflecting the latest trends and advancements in Python. It includes new chapters on modern programming paradigms, user-generated examples, and revisions based on reader feedback from the 1st Edition. These updates ensure that readers have access to current best practices, making this edition a valuable resource for staying relevant in the evolving tech landscape.
  • question: Can this book help with web development using Python?

    répondre: Yes, this book can significantly aid in web development using Python by providing insights into frameworks and tools that enhance web application performance. Topics such as asynchronous programming and RESTful API design are covered, enabling developers to create efficient web applications. Those involved in backend development, in particular, will find this resource beneficial in optimizing their server applications.
  • question: What makes Advanced Python Programming a valuable resource?

    répondre: Advanced Python Programming is a valuable resource due to its comprehensive coverage of advanced topics, practical examples, and emphasis on real-world applications. The focus on performance improvement techniques and design patterns equips developers with the necessary tools to tackle complex programming challenges. This book serves as both a learning guide and a reference for experienced developers looking to refine their skills and adopt best practices.
  • question: Where can I buy Advanced Python Programming, 2nd Edition?

    répondre: You can purchase Advanced Python Programming, 2nd Edition from Ubuy in Cameroon. Ubuy offers a seamless shopping experience with options for exploring various formats of the book, including physical and digital versions, ensuring you can access the content in your preferred format.

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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Avantages

  • 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.

Les inconvénients

  • May overwhelm beginners; assumes prior experience in Python.

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