Published by Addison-Wesley Professional (March 7, 2024) © 2024

Zed Shaw
    VitalSource eTextbook (Lifetime access)
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    ISBN-13: 9780138270612

    Learn Python the Hard Way ,5th edition

    Language: English

    You Will Learn Python!

    Zed Shaw has created the world's most reliable system for learning Python. Follow it and you will succeed--just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed.

    In Learn Python the Hard Way, Fifth Edition, you'll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you'll learn how a computer works, how to solve problems, and how to enjoy programming . . . even when it's driving you crazy.

    • Install a complete Python environment
    • Organize and write code
    • Fix and break code
    • Basic mathematics
    • Strings and text
    • Interact with users
    • Work with files
    • Looping and logic
    • Object-oriented programming
    • Data structures using lists and dictionaries
    • Modules, classes, and objects
    • Python packaging
    • Automated testing
    • Basic SQL for Data Science
    • Web scraping
    • Fixing bad data (munging)
    • The "Data" part of "Data Science"

    It'll be frustrating at first. But if you keep trying, you'll get it--and it'll feel amazing! This course will reward you for every minute you put into it. Soon, you'll know one of the world's most powerful, popular programming languages. You'll be a Python programmer.

    This Book Is Perfect For

    • Total beginners with zero programming experience
    • Junior developers who know one or two languages
    • Returning professionals who haven't written code in years
    • Aspiring Data Scientists or academics who need to learn to code
    • Seasoned professionals looking for a fast, simple crash course in Python for Data Science

    Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

    Preface xix

    Module 1: Getting Started in Python 1

    Exercise 0: Gearing Up 2
    General Instructions 2
    Minimalist Start 3
    Complete Instructions 3
    Testing Your Setup 3
    Learning the Command Line 4
    Next Steps 5

    Exercise 1: A Good First Program 6
    What You Should See 7
    Study Drills 8
    Common Student Questions 9
    The Blue Plus 9

    Exercise 2: Comments and Pound Characters 10
    What You Should See 10
    Study Drills 10
    Common Student Questions 11

    Exercise 3: Numbers and Math 12
    What You Should See 13
    Study Drills 13
    Common Student Questions 13

    Exercise 4: Variables and Names 16
    What You Should See 17
    Study Drills 17
    Common Student Questions 17

    Exercise 5: More Variables and Printing 20
    What You Should See 20
    Study Drills 21
    Common Student Questions 21

    Exercise 6: Strings and Text 22
    What You Should See 23
    Study Drills 23
    Break It 23
    Common Student Questions 24

    Exercise 7: Combining Strings 26
    What You Should See 26
    Study Drills 26
    Break It 27
    Common Student Questions 27

    Exercise 8: Formatting Strings Manually 28
    What You Should See 28
    Study Drills 29
    Common Student Questions 29

    Exercise 9: Multi-Line Strings 30
    What You Should See 30
    Study Drills 31
    Common Student Questions 31

    Exercise 10: Escape Codes in Strings 32
    What You Should See 33
    Escape Sequences 33
    Study Drills 34
    Common Student Questions 34

    Exercise 11: Asking People Questions 36
    What You Should See 36
    Study Drills 37
    Common Student Questions 37

    Exercise 12: An Easier Way to Prompt 38
    What You Should See 38
    Study Drills 38
    Common Student Questions 39

    Exercise 13: Parameters, Unpacking, Variables 40
    Code Description 41
    Hold Up! Features Have Another Name 42
    What You Should See 42
    Study Drills 43
    Common Student Questions 43

    Exercise 14: Prompting and Passing 46
    What You Should See 47
    Study Drills 47
    Common Student Questions 47

    Exercise 15: Reading Files 50
    What You Should See 51
    Study Drills 51
    Common Student Questions 52

    Exercise 16: Reading and Writing Files 54
    What You Should See 55
    Study Drills 55
    Common Student Questions 56

    Exercise 17: More Files 58
    What You Should See 59
    Study Drills 59
    Common Student Questions 59

    Module 2: The Basics of Programming 61

    Exercise 18: Names, Variables, Code, Functions 62
    Exercise Code 63
    What You Should See 65
    Study Drills 65
    Common Student Questions 66

    Exercise 19: Functions and Variables 68
    What You Should See 69
    Study Drills 70
    Common Student Questions 70

    Exercise 20: Functions and Files 72
    What You Should See 73
    Study Drills 73
    Common Student Questions 74

    Exercise 21: Functions Can Return Something 76
    What You Should See 77
    Study Drills 77
    Common Student Questions 78

    Exercise 22: Strings, Bytes, and Character Encodings 80
    Initial Research 80
    Switches, Conventions, and Encodings 82
    Dissecting the Output 84
    Dissecting the Code 84
    Encodings Deep Dive 86
    Breaking It 87

    Exercise 23: Introductory Lists 88
    Accessing Elements of a List 88
    Practicing Lists 89
    The Code 89
    The Challenge 90
    Final Challenge 91

    Exercise 24: Introductory Dictionaries 92
    Key/Value Structures 92
    Combining Lists with Data Objects 93
    The Code 94
    What You Should See 95
    The Challenge 95
    Final Challenge 96

    Exercise 25: Dictionaries and Functions 98
    Step 1: Function Names Are Variables 98
    Step 2: Dictionaries with Variables 98
    Step 3: Dictionaries with Functions 99
    Step 4: Deciphering the Last Line 99
    Study Drill 100

    Exercise 26: Dictionaries and Modules 102
    Step 1: Review of import 102
    Step 2: Find the __dict__ 102
    Step 3: Change the __dict__ 103
    Study Drill: Find the "Dunders" 104

    Exercise 27: The Five Simple Rules to the Game of Code 106
    Rule 1: Everything Is a Sequence of Instructions 106
    Rule 2: Jumps Make the Sequence Non-Linear 108
    Rule 3: Tests Control Jumps 110
    Rule 4: Storage Controls Tests 111
    Rule 5: Input/Output Controls Storage 112
    Putting It All Together 113

    Exercise 28: Memorizing Logic 116
    The Truth Terms 116
    The Truth Tables 117
    Common Student Questions 119

    Exercise 29: Boolean Practice 120
    What You Should See 122
    Study Drills 122
    Common Student Questions 122

    Exercise 30: What If 124
    What You Should See 124
    dis() It 125
    Study Drill 125
    Common Student Questions 125

    Exercise 31: Else and If 126
    What You Should See 127
    dis() It 127
    Study Drills 128
    Common Student Questions 128

    Exercise 32: Making Decisions 130
    What You Should See 131
    dis() It 131
    Study Drills 132
    Common Student Questions 132

    Exercise 33: Loops and Lists 134
    What You Should See 135
    dis() It 136
    Study Drills 137
    Common Student Questions 137

    Exercise 34: While Loops 138
    What You Should See 139
    dis() It 139
    Study Drills 140
    Common Student Questions 140

    Exercise 35: Branches and Functions 142
    What You Should See 143
    Study Drills 144
    Common Student Questions 144

    Exercise 36: Designing and Debugging 146
    From Idea to Working Code 146
    Rules for If-Statements 149
    Rules for Loops 149
    Tips for Debugging 149
    Homework 150

    Exercise 37: Symbol Review 152
    Keywords 152
    Data Types 153
    String Escape Sequences 154
    Old-Style String Formats 154
    Operators 155
    Reading Code 156
    Study Drills 157
    Common Student Questions 157

    Module 3: Applying What You Know 159

    Exercise 38: Beyond Jupyter for Windows 160
    Why Learn PowerShell? 161
    What Is PowerShell? 161
    Crash Landing 171

    Exercise 39: Beyond Jupyter for macOS/Linux 172
    Why Learn Bash or ZSH? 173
    What Is Bash? 173
    Crash Landing 184

    Exercise 40: Advanced Developer Tools 186
    Managing conda Environments 186
    Adding conda-forge 187
    Using pip 188
    Using a .condarc 188
    General Editing Tips 189
    Going Further 189

    Exercise 41: A Project Skeleton 190
    Activate an Environment 190
    Just Use cookiecutter 190
    Building Your Project 191
    Installing Your Project 191
    Testing the Install 192
    Remove test-project 192
    Common Errors 193
    Study Drills 193

    Exercise 42: Doing Things to Lists 194
    What You Should See 195
    What Lists Can Do 196
    When to Use Lists 197
    Study Drills 197
    Common Student Questions 198

    Exercise 43: Doing Things to Dictionaries 200
    A Dictionary Example 201
    What You Should See 203
    What Dictionaries Can Do 203
    Study Drills 204
    Common Student Questions 204

    Exercise 44: From Dictionaries to Objects 206
    Step 1: Passing a Dict to a Function 206
    Step 2: talk inside the Dict 207
    Step 3: Closures 208
    Step 4: A Person Constructor 209
    Study Drills 211

    Exercise 45: Basic Object-Oriented Programming 212
    Python's People 212
    Using dir() and __dict__ 213
    About the Dot (.) 214
    Terminology 215
    A Word on self 216
    Study Drills 217
    Common Student Questions 217

    Exercise 46: Inheritance and Advanced OOP 218
    How This Looks in Code 219
    About class Name(object) 221
    Study Drills 221
    Common Student Questions 222

    Exercise 47: Basic Object-Oriented Analysis and Design 224
    The Analysis of a Simple Game Engine 225
    Top Down versus Bottom Up 229
    The Code for "Gothons from Planet Percal #25" 230
    What You Should See 236
    Study Drills 237
    Common Student Questions 237

    Exercise 48: Inheritance versus Composition 238
    What Is Inheritance? 238
    The Reason for super() 243
    Composition 243
    When to Use Inheritance or Composition 245
    Study Drill 245
    Common Student Questions 246

    Exercise 49: You Make a Game 248
    Evaluating Your Game 248
    Function Style 249
    Class Style 249
    Code Style 250
    Good Comments 250
    Evaluate Your Game 250

    Exercise 50: Automated Testing 252
    What Is the Purpose of Testing? 252
    How to Test Efficiently 252
    Install PyTest 253
    Simple PyTest Demo 254
    Running pytest 255
    Exceptions and try/except 255
    Getting Coverage Reports 256
    Study Drills 256
    Common Student Questions 257

    Module 4: Python and Data Science 259

    Exercise 51: What Is Data Munging? 260
    Why Data Munging? 261
    The Problem 261
    The Setup 262
    How to Code 262
    Process Example 263
    Solution Strategies 265
    Awesome ETL Tools 266
    Study Drills 266

    Exercise 52: Scraping Data from the Web 268
    Introducing with 268
    The Problem 269
    The Setup 269
    The Clue 270
    Awesome Scraping Tools 270
    Study Drills 271

    Exercise 53: Getting Data from APIs 272
    Introducing JSON 272
    The Problem 273
    The Setup 274
    The Clue 274
    Awesome API Tools 275
    Study Drills 275

    Exercise 54: Data Conversion with pandas 276
    Introducing Pandoc 276
    The Problem 276
    The Setup 277
    The Clue 277
    Study Drills 278

    Exercise 55: How to Read Documentation (Featuring pandas) 280
    Why Programmer Documentation Sucks 280
    How to Actively Read Programmer Docs 281
    Step #1: Find the Docs 281
    Step #2: Determine Your Strategy 282
    Step #3: Code First, Docs Second 283
    Step #4: Break or Change the Code 283
    Step #5: Take Notes 284
    Step #6: Use It on Your Own 284
    Step #7: Write About What You Learned 284
    Step #8: What’s the Gestalt? 285
    Reading My pandas Curriculum 286

    Exercise 56: Using Only pandas 288
    Make a Project 288
    The Problem 288
    The Setup 289
    Study Drill 289

    Exercise 57: The SQL Crash Course 290
    What Is SQL? 290
    The Setup 291
    Fixing and Loading 292
    Create, Read, Update, Delete 293
    SELECT 293
    Date and Time 294
    INSERT 295
    UPDATE 296
    DELETE and Transactions 297
    Math, Aggregates, and GROUP BY 298
    Python Access 299

    Exercise 58: SQL Normalization 300
    What Is Normalization? 300
    First Normal Form 301
    Second Normal Form (2NF) 303
    Querying 2NF Data 306
    Querying with Joins 308
    Study Drills 308

    Exercise 59: SQL Relationships 310
    One-to-Many (1:M) 310
    Many-to-Many (M:M) 311
    One-to-One (1:1) 312
    Attributed Relations 313
    Querying M:M Tables 313
    Your Last Study Drill 314

    Exercise 60: Advice from an Even Older Programmer 316

    Index 318