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)
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
Appendices
Appendix C: The Complete UniPoly Class
Appendix D: The Complete Guitar Class Hierarchy
Appendix F: Production Notes

12.4 Summary

In this chapter, we looked at text. We started with strings and the characters in them and moved on to regular expressions to perform sophisticated matching and substitution. While character patterns are interesting, they do not tell us much about linguistic content. For that, we saw many examples of natural language processing (NLP) using the spacy Python package.

Understanding text is complicated, even for people sometimes. Use these tools carefully, and do not assume your results represent the absolute truth. For example, compare

“I love your new apartment!”

and

“I love that my boss bought a €150,000 sports car
and I bought a 20-year old rusty van.”

There is “love” in each, but it is easy to miss the sarcasm in the second.