دانلود کتاب Dancing with Python

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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