Learning Advanced Python by Studying Open Source Projects

Author:   Rongpeng Li
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032328164


Pages:   126
Publication Date:   10 November 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Learning Advanced Python by Studying Open Source Projects


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Overview

This book is one of its own kind. It is not an encyclopedia or a hands-on tutorial that traps readers in the tutorial hell. It is a distillation of just one common Python user’s learning experience. The experience is packaged with exceptional teaching techniques, careful dependence unraveling and, most importantly, passion. Learning Advanced Python by Studying Open Source Projects helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects. Different from a technical manual, this book mixes the technical knowledge, real-world applications and more theoretical content, providing readers with a practical and engaging approach to learning Python. Throughout this book, readers will learn how to write Python code that is efficient, readable and maintainable, covering key topics such as data structures, algorithms, object-oriented programming and more. The author’s passion for Python shines through in this book, making it an enjoyable and inspiring read for both beginners and experienced programmers.

Full Product Details

Author:   Rongpeng Li
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.254kg
ISBN:  

9781032328164


ISBN 10:   1032328169
Pages:   126
Publication Date:   10 November 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction Chapter 1 ◾ The Data Model of Python Chapter 2 ◾ Selected Topics of Python Classes Chapter 3 ◾ Concurrency in Python Chapter 4 ◾ Asynchronous Programming in Python Chapter 5 ◾ Power Up Your Python Functions Chapter 6 ◾ Selected OOP Design Best Practices Chapter 7 ◾ Testing in a Pistachio Shell

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Author Information

Rongpeng Li (Ron) is a YouTube educator and animator. He has a consistent passion for education. He has published two books on statistics and scientific simulation.

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