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

5.9 Summary

In this chapter, we saw many kinds of numbers and ways to represent them. I introduced symbolic computational objects like polynomials via sympy. We ended our discussion with computing and using random and pseudo-random numbers. I began using qiskit to demonstrate a simple way of generating 2-bit integers on a quantum computer. Quantum computing is probabilistic and this is an essential distinction from the classical case for how we design and implement algorithms.

Though we have used and defined Python functions many times, we return to them in depth in the next chapter. We’ll discuss the many function definition features that Python provides, along with the correct ways for you to document what your functions do.