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Dancing with Python

Dancing with Python

By : Robert S. Sutor
5 (7)
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Dancing with Python

Dancing with Python

5 (7)
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)
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2
Part I: Getting to Know Python
10
PART II: Algorithms and Circuits
14
PART III: Advanced Features and Libraries
19
References
20
Other Books You May Enjoy
1
Appendices
4
Appendix C: The Complete UniPoly Class
5
Appendix D: The Complete Guitar Class Hierarchy
7
Appendix F: Production Notes

Optimizing and Testing Your Code

Experience is the name everyone gives to their mistakes.

—Oscar Wilde, Lady Windermere’s Fan

It would be wonderful if the code we wrote were perfect. It would run in the most efficient way possible, and it would perform exactly as we intended from the first time. There would not be one unused line or expression. It would execute correctly for the standard cases and every bizarre twist our software users can throw at us.

In this chapter, we face reality. Code usually has one or more bugs in it at the beginning. Your programming editor, such as Visual Studio Code, may help you with the syntax errors, but the semantic ones can be harder to find. We first learn about widely used techniques for testing your code, from simple sanity checks to organized and repeatable processes. We then look at timing how long your code takes to run and then suggestions for improving performance...

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Dancing with Python
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