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

5.1 Using Python modules

So far, all the code we have seen or used has been built into Python, or we wrote it ourselves. Python uses modules to collect together function, class, and constant definitions so that you can reuse them by selectively bringing them into your environment. We can group modules in a hierarchical, tree-like structure to create packages. Together, these provide the functionality of libraries that we saw in section 1.4.

5.1.1 How do you get a module?

More than 200 modules come with the Python Standard Library. [PYL] Other than loading them into your environment via import, you don’t need to install anything extra to use them. The math, fractions, random, and cmath modules we use in this chapter are part of the standard library.

That’s not the full extent of pre-written code you can use. More than 200,000 modules are available from the Python Package Index. [PYPI]