For courses in Python Programming
Introduces Python programming with an emphasis on problem-solving
Now in its Third Edition, Practice of Computing Using Python continues to effectively introduce readers to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++.
Focusing on data manipulation and analysis as a theme, the text allows readers to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasize program development and provide readers of all backgrounds with a practical foundation in programming that suit their needs. Among other changes, the Third Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.
Table of Contents: Brief Contents
I. Thinking About Computing
- The Study of Computer Science
II. Starting to Program
- Beginnings
- Control
- Algorithms and Program Development
III. Data Structures and Functions
- Working with Strings
- Functions-QuickStart
- Files and Exceptions I
- Lists and Tuples
- More on Functions
- Dictionaries and Sets
- More Program Development
IV. Classes, making your own Data Structure and Algorithms
- More on Classes
- Program Development with Classes
V. Being a better programmer
- Files and Exceptions II
- Recursion: Another Control Mechanism
- Other Fun Stuff with Python
- The End, or Perhaps the Beginning