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Python Without Fear

Python Without Fear

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  • Copyright 2018
  • Dimensions: 7" x 9-1/8"
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-468826-0
  • ISBN-13: 978-0-13-468826-8

Praise for this book, Python Without Fear

“This is really a great book. I wish I’d had it when I was learning Python.”

–John M. Wargo, author of Apache Cordova 4 Programming

Praise for the previous book in the series, C++ Without Fear

“I’m in love with your C++ Without Fear book. It keeps me awake for hours during the night. Thanks to you, I got most of the idea in just a few hours.”

–Laura Viral, graduate physics student at CERN and Istanbul, Turkey

“It’s hard to tell where I began and ended with your book. I felt like I woke up and literally knew how to write C++

code. I can’t overstate the confidence you gave me.”

– Danny Grady, senior programmer/analyst at a Fortune 500 Company

Whether you’re new to programming or moving from another language, Python Without Fear will quickly make you productive! Brian Overland’s unique approach to Python includes: 

  • Taking you by the hand while teaching topics from the very basics to intermediate and advanced features of Python
  • Teaching by examples that are explained line by line
  • Heavy emphasis on examples that are fun and useful, including games, graphics, database applications, file storage, puzzles, and more!
  • How to think “Pythonically” and avoid common “gotchas”

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Author's Site

Please visit the author's site at brianoverland.com/books/.

Sample Content

Sample Pages

Download the sample pages (includes Chapter 3 and the Index)

Table of Contents

Preface xvii

Acknowledgments xxi

Author Bio xxiii

Chapter 1: Meet the Python 1

A Brief History of Python 1

How Python Is Different 2

How This Book Works 3

Installing Python 4

Begin Using Python with IDLE 6

Correcting Mistakes from Within IDLE 6

Dealing with Ends of Lines 7

Additional Help: Online Sources 8

Chapter 2: A Python Safari: Numbers 9

Python and Numbers 9

Python and Floating-Point Numbers 14

Assigning Numbers to Variables 17

Variable-Naming Conventions in This Book 23

Some Python Shortcuts 23

Chapter 2 Summary 26

Chapter 3: Your First Programs 29

Temperatures Rising? 29

Putting in a Print Message 35

Syntax Summaries 36

Getting String Input 41

Getting Numeric Input 43

Formatted Output String 46

Chapter 3 Summary 50

Chapter 4: Decisions and Looping 53

Decisions Inside a Computer Program 53

Conditional and Boolean Operators 55

The if, elif, and else Keywords 56

while: Looping the Loop 60

 “Give Me a break” Statement 70

Chapter 4 Summary 75

Chapter 5: Python Lists 77

The Python Way: The World Is Made of Collections 77

Processing Lists with for 80

Modifying Elements with for (You Can't!) 82

Indexing and Slicing 85

Copying Data to Slices 88

Ranges 89

List Functions and the in Keyword 97

Chapter 5 Summary 99

Chapter 6: List Comprehension and Enumeration 101

Indexes and the enumerate Function 101

The Format String Method Revisited 103

Simple List Comprehension 106

“Two-Dimensional” List Comprehension 112

List Comprehension with Conditional 114

Chapter 6 Summary 123

Chapter 7: Python Strings 125

Creating a String with Quote Marks 125

Indexing and “Slicing” 127

String/Number Conversions 130

Stripping for Fun and Profit 135

Let’s Split: The split Method 138

Building Strings with Concatenation (+) 139

The join Method 143

Chapter 7 Summary 144

Chapter 8: Single-Character Ops 147

Naming Conventions in This Chapter 147

Accessing Individual Characters (A Review) 148

Getting Help with String Methods 148

Testing Uppercase vs. Lowercase 149

Converting Case of Letters 150

Testing for Palindromes 151

Converting to ASCII Code 159

Converting ASCII to Character 160

Chapter 8 Summary 166

Chapter 9: Advanced Function Techniques 167

Multiple Arguments 167

Returning More Than One Value 168

Arguments by Name 173

Default Arguments 174

Importing Functions from Modules 178

Chapter 9 Summary 185

Chapter 10: Local and Global Variables 187

Local Variables, What Are They Good For? 187

Locals vs. Globals 188

Introducing the global Keyword 190

The Python “Local Variable Trap” 190

Chapter 10 Summary 204

Chapter 11: File Ops 207

Text Files vs. Binary Files 207

The Op System (os) Module 208

Open a File 211

Let’s Write a Text File 213

Read a Text File 216

Files and Exception Handling 217

Other File Modes 223

Chapter 11 Summary 224

Chapter 12: Dictionaries and Sets 227

Why Do We Need Dictionaries, Ms. Librarian? 227

Adding and Changing Key-Value Pairs 229

Accessing Values 230

Searching for Keys 231

Converting Dictionaries to Lists 235

All About Sets 241

Operations on Sets 242

Chapter 12 Summary 246

Chapter 13: Matrixes: 2-D Lists 249

Simple Matrixes 249

Accessing Elements 250

Irregular Matrixes and Length of a Row 251

Multiplication (*) and Lists 252

The Python Matrix Problem 253

How to Create N*M Matrixes: The Solution 254

How to Rotate a Matrix 261

Chapter 13 Summary 268

Chapter 14: Winning at Tic-Tac-Toe 271

Design of a Tic-Tac-Toe Board 271

Plan of This Chapter 273

Python One-Line if/else 274

The count Method for Lists 279

Introducing the Computer Player 285

Chapter 14 Summary 294

Chapter 15: Classes and Objects I 295

What’s an Object? 295

Classes in Python 296

The All-Important _ _init_ Method 301

Design for a Database Class 303

Defining Other Methods 309

Design for a Point3D Class 310

Point3D Class and Default Arguments 312

Three-Dimensional Tic-Tac-Toe 312

Chapter 15 Summary 318

Chapter 16: Classes and Objects II 321

Getting Help from Doc Strings 321

Function Typing and “Overloading” 323

Variable-Length Argument Lists 326

Inheritance 331

The Fraction Class 333

Class Variables and Methods 337

Instance Variables as “Default” Values 339

Chapter 16 Summary 344

Chapter 17: Conway’s Game of Life 347

Game of Life: The Rules of the Game 348

Generating the Neighbor Count 350

Design of the Program 352

Moving the Matrix Class to a Module 354

The Famous Slider Pattern 358

Chapter 17 Summary 364

Chapter 18: Advanced Pythonic Techniques 367

Generators 367

Exploiting the Power of Generators 369

Properties 375

Decorators: Functions Enclosing Other Functions 382

Python Decoration 385

Chapter 18 Summary 389

Appendix A: Python Operator Precedence Table 391

Appendix B: Summary of Most Important Formatting Rules for Python 3.0 393

1. Formatting Ordinary Text 393

2. Formatting Arguments 393

3. Specifying Order of Arguments 393

4. Right Justification Within Field of Size N 394

5. Left Justification Within Field of Size N 394

6. Truncation: Limit Size of Print Field 394

7. Combined Truncation and Justification 395

8. Length and Precision of Floating-Point Numbers 395

9. The Padding Character 395

Appendix C: Glossary 397

Index 407


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