Millions of software developers use Python, and it is a powerful foundation for classical and quantum computing. Dancing with Python teaches you how to create elegant and efficient code using Pythonic techniques. Its integrated introduction to quantum computing development helps you extend your skills to the next major computing technology.

• Cover
• Copyright
• Dedication
• Contributors
• Table of Contents
• List of Figures
• Preface
  • Why did I write this book?
  • For whom did I write this book?
  • What does this book cover?
  • What conventions do I use in this book?
  • Download the example code files
  • Download the color images
  • Get in touch
• Chapter 1: Doing the Things That Coders Do
  • 1.1 Data
  • 1.2 Expressions
  • 1.3 Functions
  • 1.4 Libraries
  • 1.5 Collections
  • 1.6 Conditional processing
  • 1.7 Loops
  • 1.8 Exceptions
  • 1.9 Records
  • 1.10 Objects and classes
  • 1.11 Qubits
  • 1.12 Circuits
  • 1.13 Summary
• Part I: Getting to Know Python
  • Chapter 2: Working with Expressions
    • 2.1 Numbers
    • 2.2 Strings
    • 2.3 Lists
    • 2.4 Variables and assignment
    • 2.5 True and False
    • 2.6 Arithmetic
    • 2.7 String operations
    • 2.8 List operations
    • 2.9 Printing
    • 2.10 Conditionals
    • 2.11 Loops
    • 2.12 Functions
    • 2.13 Summary
  • Chapter 3: Collecting Things Together
    • 3.1 The big three
    • 3.2 Lists
    • 3.3 The joy of O(1)
    • 3.4 Tuples
    • 3.5 Comprehensions
    • 3.6 What does “Pythonic” mean?
    • 3.7 Nested comprehensions
    • 3.8 Parallel traverse
    • 3.9 Dictionaries
    • 3.10 Sets
    • 3.11 Summary
  • Chapter 4: Stringing You Along
    • 4.1 Single, double, and triple quotes
    • 4.2 Testing for substrings
    • 4.3 Accessing characters
    • 4.4 Creating strings
    • 4.5 Strings and iterations
    • 4.6 Strings and slicing
    • 4.7 String tests
    • 4.8 Splitting and stripping
    • 4.9 Summary
  • Chapter 5: Computing and Calculating
    • 5.1 Using Python modules
    • 5.2 Integers
    • 5.3 Floating-point numbers
    • 5.4 Rational numbers
    • 5.5 Complex numbers
    • 5.6 Symbolic computation
    • 5.7 Random numbers
    • 5.8 Quantum randomness
    • 5.9 Summary
  • Chapter 6: Defining and Using Functions
    • 6.1 The basic form
    • 6.2 Parameters and arguments
    • 6.3 Naming conventions
    • 6.4 Return values
    • 6.5 Keyword arguments
    • 6.6 Default argument values
    • 6.7 Formatting conventions
    • 6.8 Nested functions
    • 6.9 Variable scope
    • 6.10 Functions are objects
    • 6.11 Anonymous functions
    • 6.12 Recursion
    • 6.13 Summary
  • Chapter 7: Organizing Objects into Classes
    • 7.1 Objects
    • 7.2 Classes, methods, and variables
    • 7.3 Object representation
    • 7.4 Magic methods
    • 7.5 Attributes and properties
    • 7.6 Naming conventions and encapsulation
    • 7.7 Commenting Python code
    • 7.8 Documenting Python code
    • 7.9 Enumerations
    • 7.10 More polynomial magic
    • 7.11 Class variables
    • 7.12 Class and static methods
    • 7.13 Inheritance
    • 7.14 Iterators
    • 7.15 Generators
    • 7.16 Objects in collections
    • 7.17 Creating modules
    • 7.18 Summary
  • Chapter 8: Working with Files
    • 8.1 Paths and the file system
    • 8.2 Moving around the file system
    • 8.3 Creating and removing directories
    • 8.4 Lists of files and folders
    • 8.5 Names and locations
    • 8.6 Types of files
    • 8.7 Reading and writing files
    • 8.8 Saving and restoring data
    • 8.9 Summary
• Part II: Algorithms and Circuits
  • Chapter 9: Understanding Gates and Circuits
    • 9.1 The software stack
    • 9.2 Boolean operations and bit logic gates
    • 9.3 Logic circuits
    • 9.4 Simplifying bit expressions
    • 9.5 Universality for bit gates
    • 9.6 Quantum gates and operations
    • 9.7 Quantum circuits
    • 9.8 Universality for quantum gates
    • 9.9 Summary
  • Chapter 10: Optimizing and Testing Your Code
    • 10.1 Testing your code
    • 10.2 Timing how long your code takes to run
    • 10.3 Optimizing your code
    • 10.4 Looking for orphan code
    • 10.5 Defining and using decorators
    • 10.6 Summary
  • Chapter 11: Searching for the Quantum Improvement
    • 11.1 Classical searching
    • 11.2 Quantum searching via Grover
    • 11.3 Oracles
    • 11.4 Inversion about the mean
    • 11.5 Amplitude amplification
    • 11.6 Searching over two qubits
    • 11.7 Summary
• Part III: Advanced Features and Libraries
  • Chapter 12: Searching and Changing Text
    • 12.1 Core string search and replace methods
    • 12.2 Regular expressions
    • 12.3 Introduction to Natural Language Processing
    • 12.4 Summary
  • Chapter 13: Creating Plots and Charts
    • 13.1 Function plots
    • 13.2 Bar charts
    • 13.3 Histograms
    • 13.4 Pie charts
    • 13.5 Scatter plots
    • 13.6 Moving to three dimensions
    • 13.7 Summary
  • Chapter 14: Analyzing Data
    • 14.1 Statistics
    • 14.2 Cats and commas
    • 14.3 pandas DataFrames
    • 14.4 Data cleaning
    • 14.5 Statistics with pandas
    • 14.6 Converting categorical data
    • 14.7 Cats by gender in each locality
    • 14.8 Are all tortoiseshell cats female?
    • 14.9 Cats in trees and circles
    • 14.10 Summary
  • Chapter 15: Learning, Briefly
    • 15.1 What is machine learning?
    • 15.2 Cats again
    • 15.3 Feature scaling
    • 15.4 Feature selection and reduction
    • 15.5 Clustering
    • 15.6 Classification
    • 15.7 Linear regression
    • 15.8 Concepts of neural networks
    • 15.9 Quantum machine learning
    • 15.10 Summary
• Appendices
  • Appendix A: Tools
    • A.1 The operating system command line
    • A.2 Installing Python
    • A.3 Installing Python modules and packages
    • A.4 Installing a virtual environment
    • A.5 Installing the Python packages used in this book
    • A.6 The Python interpreter
    • A.7 IDLE
    • A.8 Visual Studio Code
    • A.9 Jupyter notebooks
    • A.10 Installing and setting up Qiskit
    • A.11 The IBM Quantum Composer and Lab
    • A.12 Linting
  • Appendix B: Staying Current
    • B.1 python.org
    • B.2 qiskit.org
    • B.3 Python expert sites
    • B.4 Asking questions and getting answers
  • Appendix C: The Complete UniPoly Class
  • Appendix D: The Complete Guitar Class Hierarchy
  • Appendix E: Notices
    • E.1 Photos, images, and diagrams
    • E.2 Data
    • E.3 Trademarks
    • E.4 Python 3 license
  • Appendix F: Production Notes
• References
• Packt Page
• Other Books You May Enjoy
• Index
  • Index Formatting Examples