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

14.10 Summary

In this chapter, we learned the fundamental concepts of descriptive statistics and saw how to use numpy and matplotlib for computation and visualization. We then moved on to pandas, a highly sophisticated Python package for reading, writing, and analyzing DataFrames. We revisited statistics to show the ease with which pandas allows us to examine and summarize large and small datasets.

The next chapter concludes this book, but for the appendices, references, and indices. I will provide a brief survey of using Python for machine learning. This knowledge will enable you, I hope, to move on to more advanced books and articles to understand the full breadth of Python tools for artificial intelligence.