Learning Advanced Python by Studying Open Source Projects
1st Edition
Published on 10. November 2023
138 pages
978-1-000-99297-7 (ISBN)
Description
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.
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.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
6 Tables, black and white; 165 Line drawings, black and white; 16 Halftones, black and white; 181 Illustrations, black and white
ISBN-13
978-1-000-99297-7 (9781000992977)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
11/2023
1st Edition
Chapman & Hall/CRC
€67.40
Shipment within 10-20 days
Book
11/2023
1st Edition
Chapman & Hall/CRC
€250.40
Shipment within 10-20 days
Person
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.
Content
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
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
