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  • Book Overview & Buying Dancing with Python
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Dancing with Python

Dancing with Python

By : Robert S. Sutor
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Dancing with Python

Dancing with Python

5 (7)
By: Robert S. Sutor
Buy this Book

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

7.2 Classes, methods, and variables

A class is a Python object that creates other objects, known as instances of the class. We also say that a class instantiates new objects of its type. Its creation syntax is similar to that of a function definition, except we use class instead of def. A class can be “parameterized,” and we discuss this in section 7.13 when we consider inheritance.

We begin by defining a class, UniPoly, that creates a univariate monomial from a coefficient, indeterminate, and exponent. We implement a preliminary way to display these polynomials, but we do not yet allow any algebraic operations. The code for the final version of UniPoly that we develop in this chapter is in Appendix C.

class UniPoly:
    # UniPoly creates univariate polynomials with integer coefficients
    # Version 1

    def __init__(self, coefficient, indeterminate, exponent):
        # Create a...
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