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

14.5 Statistics with pandas

pandas implements versions of all the statistical functions we saw in section 14.1. The describe method summarizes many of these for the columns with numeric data. It returns a DataFrame.

concert_df.describe()
               Id         Age  1995 Concerts
count   100.00000  100.000000     100.000000
mean   1049.69000   40.620000       1.880000
std      29.28084    4.556669       2.275384
min    1000.00000   29.000000       0.000000
25%    1024.75000   38.000000       0.000000
50%    1049.50000   40.000000       0.000000
75%    1074.25000   43.000000       4.000000
max    1100.00000   52.000000       7.000000

14.5.1 Means, and medians, and deviations, oh my

pandas provides methods to compute each of these statistics. mean operates on a DataFrame object and returns the computed averages as a Series:

concert_df.mean()
Id               1049.69
Age                40.62
1995 Concerts...