Logo

Object-Oriented Programming in Python

Small book cover: Object-Oriented Programming in Python

Object-Oriented Programming in Python
by

Publisher: Prentice Hall
Number of pages: 620

Description:
The book provides a comprehensive introduction to Python programming with a focus on object-oriented design. It covers fundamental concepts, including classes, inheritance, and polymorphism, alongside practical examples and exercises to help readers master Python's versatile programming paradigm. Suitable for beginners and experienced programmers alike, it offers a clear and structured approach to modern Python development.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Think Python: An Introduction to Software DesignThink Python: An Introduction to Software Design
by - Green Tea Press
A concise introduction to software design using Python. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
(25621 views)
Book cover: Python 101: Introduction to PythonPython 101: Introduction to Python
by
This document is a syllabus for a first course in Python programming. It contains an introduction to the Python language, instruction in the important features of the language, and practical exercises in the use of those features.
(22949 views)
Book cover: Think Stats: Probability and Statistics for ProgrammersThink Stats: Probability and Statistics for Programmers
by - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
(25887 views)
Book cover: The Python Language Reference ManualThe Python Language Reference Manual
by - Network Theory Ltd.
The definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. It covers advanced topics, and is suitable for readers who are familiar with the details and rules of the Python and its object system.
(25366 views)