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

7.4 Magic methods

You do not call the three methods __init__, __repr__, and __str__ directly; Python “magically” calls them for you when it needs to initialize an instance, get an input representation, or convert to a string. You can define several dozen such “magic methods” with predefined uses. The algebraic and comparison methods are important to us for polynomials, so let’s look at some examples.

7.4.1 Negation

I now define negation via __neg__, where I create a new polynomial by applying “-” to each coefficient. In this third version of UniPoly, I extend __init__ to accept a coefficient and exponent.

class UniPoly:
    # UniPoly creates univariate polynomials with integer coefficients
    # Version 3

    def __init__(self,

        # Create a UniPoly object from...