Book Image

Dancing with Python

By : Robert S. Sutor
Book Image

Dancing with Python

By: Robert S. Sutor

Overview of this book

Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
Table of Contents (29 chapters)
Part I: Getting to Know Python
PART II: Algorithms and Circuits
PART III: Advanced Features and Libraries
Other Books You May Enjoy
Appendix C: The Complete UniPoly Class
Appendix D: The Complete Guitar Class Hierarchy
Appendix F: Production Notes

7.18 Summary

In this chapter, we learned how to create new kinds of objects with Python class definitions. A class brings together data in the form of instance and class variables with functions that operate on them. These functions can be instance methods operating on objects created by the class or class and static methods that work across all instances.

Class inheritance is a crucial feature of Python’s support for object-oriented programming. Inheritance gives us the ability to reuse code within a logical hierarchy of objects while specializing those objects with their own data and operations.

Commenting and documenting Python code is a critical activity so that other developers can understand and use what you created. It also allows you to go back and fix or improve the code when you may not remember how it works.

We finish the first part of this book in the next chapter, where we ...