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

3.5 Comprehensions

We have seen two ways of making a copy of a list. The first is to use the aptly named copy method.

brands = ["Fender", "Gibson", "Ibanez"]
['Fender', 'Gibson', 'Ibanez']

The second technique is copying via slicing.

['Fender', 'Gibson', 'Ibanez']

We now look at a third technique that generalizes well beyond copying.

[brand for brand in brands]
['Fender', 'Gibson', 'Ibanez']

This is a list comprehension, and this is an elementary example of it. It is a simpler way of building the list than with a full loop and append.

brands_copy = []

for brand in brands:

['Fender', 'Gibson', 'Ibanez']

Let’s add a filter in the form of a conditional and create a new...