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
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Appendix C: The Complete UniPoly Class
Appendix D: The Complete Guitar Class Hierarchy
Appendix F: Production Notes

8.9 Summary

We use files to store data in information for later reuse. In this chapter, we looked at Python functions for moving around and examining the file system controlled by the computer’s operating system. We learned that files come in two varieties, text and binary. We saw how to access the files and read and write to them for each variety.

Other than pickling and using JSON, you can use a database to save and retrieve information, though we do not cover that here. We explore working with datasets with pandas in Chapter 14, Analyzing Data.

We have now completed Part I and the fundamentals of Python. We now examine and implement classical and quantum algorithms and circuits in Part II.