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

10.2 Timing how long your code takes to run

If I want to improve my code to run faster, I must measure how long it takes to run before and after my changes. In section 6.12.4, I covered computing execution time with the time module. Now let’s look at timeit.

The timeit function takes a string containing a Python expression and evaluates it many times. It returns the total time for the entire execution.

import timeit


In this example, Python evaluated 2**1000 one million times and returned the number of seconds for the entire computation. You can use keyword arguments to specify the code and the number of iterations.

timeit.timeit(stmt="2**1000", number=500000)

Exercise 10.1

In the graph of timeit times for 2n with 60 ≤ n ≤ 65 in Figure...