Practice of Computing Using Python, The, Global Edition

For courses in Python Programming

Now in its 3rd Edition, Practice of Computing Using Python continues to introduce both majors and non-majors taking CS1 courses 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 students to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasise program development and provide both majors and non-majors with a practical foundation in programming that will be useful in their respective fields. Among other changes, the 3rd Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.

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Contenu

• I. Thinking About Computing
• 0. The Study of Computer Science
• II. Starting to Program
• 1. Beginnings
• 2. Control
• 3. Algorithms and Program Development
• III. Data Structures and Functions
• 4. Working with Strings
• 5. Functions-QuickStart
• 6. Files and Exceptions I
• 7. Lists and Tuples
• 8. More on Functions
• 9. Dictionaries and Sets
• 10. More Program Development
• IV. Classes, making your own Data Structure and Algorithms
• 12. More on Classes
• 13. Program Development with Classes
• V. Being a better programmer
• 14. Files and Exceptions II
• 15. Recursion: Another Control Mechanism
• 16. Other Fun Stuff with Python
• 17. The End, or Perhaps the Beginning