Expert Python Programming: Master Python by learning the best coding practices and advanced programming concepts, 4th Edition
Master Python by learning the best coding practices and advanced programming concepts.
Expert Python Programming: Master Python by learning the best coding practices and advanced programming concepts, 4th Edition
Položka č.: 37071603

Expert Python Programming: Master Python by learning the best coding practices and advanced programming concepts, 4th Edition

Položka č.: 37071603

CZK 1681

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What Stands Out

Advanced Techniques
Focuses on advanced programming concepts to elevate your Python skills, making it ideal for experienced developers seeking to refine their coding practices.
Best Practices
Teaches the best coding practices to enhance readability and efficiency, ensuring that your code is maintainable and scalable for future projects.
Comprehensive Guide
Offers a thorough exploration of Python, catering to both novice and expert programmers, thus providing invaluable insights into a wide range of applications and tools.

Detaily produktu

Shop Expert Python Programming: Master Python by learning the best coding practices and advanced programming concepts, 4th Edition online at a best price in Czech Republic. 1801071101
  • Attain a deep understanding of building, maintaining, packaging, and shipping robust Python applicationsKey FeaturesDiscover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matchingCreate manageable code to run in various environments with different sets of dependenciesImplement effective Python data structures and algorithms to write, test, and optimize codeBook DescriptionPython is used in a wide range of domains owing to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain can be challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition will help you in not only overcoming such challenges but also learning Python’s latest features and advanced concepts.The book begins with a warm-up, where you will catch-up with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. Further, the initial few chapters should allow experienced programmers coming from different languages to safely land in the Python ecosystem.As you progress, you will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live.By the end of the book, you should be proficient in writing efficient and maintainable Python code.What you will learnExplore modern ways of setting up repeatable and consistent Python development environmentsEffectively package Python code for community and production useLearn about modern syntax elements of Python programming, such as f-strings, dataclasses, enums, and lambda functionsDemystify metaprogramming in Python with metaclassesWrite concurrent code in PythonMonitor and optimize the performance of Python applicationExtend and integrate Python with code written in different languagesWho this book is forThe Python programming book is intended for expert programmers who want to learn Python’s advanced-level concepts and latest features.Anyone who has basic Python skills should be able to follow the content of the book, although it might require some additional effort from less experienced programmers. It should also be a good introduction to Python 3.9 for those who are still a bit behind and continue to use other older versions.Table of ContentsSection 1: Knowing your tools - Current Status of PythonModern Python Development EnvironmentsNew Things in PythonPython in Comparison with Other Languages Section 2: Building applications with Python - Interfaces, Patterns and ModularityConcurrencyEvent-Driven Programming Elements of MetaprogrammingBridging Python with C and C++Section 3: Maintaining Python Applications - Testing and Quality AutomationPackaging and Distributing Python CodeObserving Application Behavior and PerformanceCode Optimization
Publisher Packt Publishing
Publication date May 28, 2021
Edition 4th ed.
Language English
Print length 630 pages
ISBN-10 1801071101
ISBN-13 978-1801071109
Item Weight 2.35 pounds (1.07 kg)
Dimensions 7.5 x 1.42 x 9.25 inches (19.1 x 3.6 x 23.5 cm)

Who Should Buy?

Suitable For
  • Intermediate Programmers

    Those with basic Python knowledge seeking to deepen their understanding and learn advanced coding practices effectively.

  • Software Developers

    Professionals looking to enhance their Python skills to improve software development and implement best practices in projects.

  • Data Scientists

    Individuals in data science who need to master advanced Python for data analysis and machine learning applications.

Not Suitable For
  • Complete Beginners

    Novices with no Python experience may struggle with the advanced concepts presented in this book.

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Object-Oriented Design Editorial Review

Expert Python Programming's 4th edition offers in-depth implementation details with many coding examples and an interesting read that establishes continuity to proceed each chapter. However, some customers found the book useless with no insightful examples and more emphasis on typing than on content. It's a very helpful book for enhancing Python code writing and learning new programming concepts, but basic knowledge of the language is a must before diving into it. The book has more theoretical content than technical explanation.

Customer Reviews & Ratings

4.4
97 hodnocení zákazníků
  • 5 hvězda
    73%
  • 4 hvězda
    14%
  • 3 hvězda
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  • 2 hvězda
    3%
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Klady

  • In-depth implementation details
  • Many coding examples
  • Interesting read

Nevýhody

  • Some readers found it useless with no insightful examples

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