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

3.11 Summary

In this chapter, we looked at four Python collection types: lists, tuples, dictionaries, and sets. They are each optimized for particular applications. I hope this gives you insight for looking at a coding problem and thinking something like, “this is a job for a dictionary whose keys are strings and whose values are lists.” That is, these collection types are useful for a broad range of coding solutions, and your job is to learn to use the right one for the right application.

In the next chapter, we look again at strings and the many ways of creating and manipulating them. You should begin to think of what we do with strings as text processing, a topic we return to in Chapter 12, Searching and Changing Text.