Transform Your Ideas into High-Quality Python Code! Zed Shaw has perfected the world’s best system for becoming a truly effective Python 3.x developer. Follow it and you will succeed—just like the tens of millions of programmers he’s already taught. You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, Zed Shaw taught you the basics of Programming with Python 3. Now, in Learn More Python 3 the Hard Way, you’ll go far beyond the basics by working through 52 brilliantly crafted projects. Each one helps you build a key practical skill, combining demos to get you started and challenges to deepen your understanding. Zed then teaches you even more in 12 hours of online videos, where he shows you how to break, fix, and debug your code. First, you’ll discover how to analyze a concept, idea, or problem to implement in software. Then, step by step, you’ll learn to design solutions based on your analyses and implement them as simply and elegantly as possible. Throughout, Shaw stresses process so you can get started and build momentum, creativity to solve new problems, and quality so you’ll build code people can rely on. Manage complex projects with a programmer’s text editor Leverage the immense power of data structures Apply algorithms to process your data structures Master indispensable text parsing and processing techniques Use SQL to efficiently and logically model stored data Learn powerful command-line tools and skills Combine multiple practices in complete projects It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll go beyond merely writing code that runs: you’ll craft high-quality Python code that solves real problems. You’ll be a serious Python programmer. Perfect for Everyone Who’s Already Started Working with Python, including Junior Developers and Seasoned Python Programmers Upgrading to Python 3.6+ Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.

Table of Contents:
Preface xiv Part I: Initial Knowledge 2 Exercise 0: The Setup 6 A Programmer’s Editor 6 Python 3.6 6 A Working Terminal 6 A Working pip+virtualenv Configuration 7 Lab Journal 7 A Github.com Account 7 git 7 Optional: Screen-Recording Software 8 Further Study 8 Exercise 1: On Process 10 Exercise Challenge 11 Study Drills 12 Further Study 12 Exercise 2: On Creativity 14 Exercise Challenge 14 Study Drill 15 Exercise 3: On Quality 16 Exercise Challenge 18 Study Drill 18 Part II: Quick Hacks 20 Exercise 4: Dealing with Command Line Arguments 24 Exercise Challenge 24 Solution 25 Study Drills 25 Exercise 5: cat 26 Exercise Challenge 26 Solution 27 Study Drills 27 Further Study 27 Exercise 6: find 28 Exercise Challenge 29 Study Drills 30 Further Study 30 Exercise 7: grep 32 Exercise Challenge 32 Study Drills 33 Further Study 33 Exercise 8: cut 34 Exercise Challenge 35 Study Drill 35 Further Study 35 Exercise 9: sed 36 Exercise Challenge 36 Study Drills 37 Further Study 37 Exercise 10: sort 38 Exercise Challenge 38 Study Drills 39 Further Study 39 Exercise 11: uniq 40 Exercise Challenge 40 Study Drills 41 Further Study 41 Exercise 12: Review 42 Exercise Challenge 42 Study Drills 43 Further Study 43 Part III: Data Structures 46 Exercise 13: Single Linked Lists 50 Description 50 Controller 52 Test 53 Introductory Auditing 55 Exercise Challenge 56 Auditing 56 Study Drill 56 Exercise 14: Double Linked Lists 58 Introducing Invariant Conditions 59 Exercise Challenge 60 Study Drill 61 Exercise 15: Stacks and Queues 62 Exercise Challenge 62 Breaking It 64 Further Study 64 Exercise 16: Bubble, Quick, and Merge Sort 66 Exercise Challenge 66 Study Drills 71 Exercise 17: Dictionary 74 Exercise Challenge 74 Doing a “Code Master Copy” 74 Copy the Code 75 Annotate the Code 78 Summarize the Data Structure 78 Memorize the Summary 79 Implement from Memory 80 Repeat 80 Study Drills 81 Break It 81 Exercise 18: Measuring Performance 82 The Tools 82 Analyzing Performance 84 Exercise Challenge 86 Study Drills 86 Breaking It 86 Further Study 86 Exercise 19: Improving Performance 88 Exercise Challenge 89 Further Study 90 Exercise 20: Binary Search Trees 92 BSTree Requirements 92 Deleting 93 Exercise Challenge 94 Study Drills 94 Exercise 21: Binary Search 96 Exercise Challenge 96 Study Drills 96 Further Study 97 Exercise 22: Suffix Arrays 98 Exercise Challenge 99 Study Drills 99 Further Study 99 Exercise 23: Ternary Search Trees 100 Exercise Challenge 100 Study Drills 102 Exercise 24: Fast URL Search 104 Exercise Challenge 104 Study Drills 105 Further Study 105 Part IV: Intermediate Projects 106 Exercise 25: xargs 108 Exercise Challenge 108 Study Drills 108 Exercise 26: hexdump 110 Exercise Challenge 111 Study Drill 112 Further Study 112 Exercise 27: tr 114 Exercise Challenge 114 A Criticism of 45-Minute Blocks 115 Study Drills 115 Exercise 28: sh 116 Exercise Challenge 116 Study Drill 117 Further Study 117 Exercise 29: diff and patch 118 Exercise Challenge 118 Study Drill 119 Further Study 119 Part V: Parsing Text 120 Exercise 30: Finite State Machines 122 Exercise Challenge 123 Study Drills 125 Further Study 125 Exercise 31: Regular Expressions 126 Exercise Challenge 127 Study Drills 128 Further Study 128 Exercise 32: Scanners 130 Puny Python Scanner 131 Exercise Challenge 133 Study Drills 133 Further Study 133 Exercise 33: Parsers 136 Recursive Descent Parsing 137 BNF Grammars 138 Quick Demo Hack Parser 140 Exercise Challenge 142 Study Drill 142 Further Study 142 Exercise 34: Analyzers 144 Visitor Pattern 144 A Short Puny Python Analyzer 145 Parser versus Analyzer 148 Exercise Challenge 148 Study Drills 149 Further Study 149 Exercise 35: Interpreters 150 Interpreters versus Compilers 150 Python Is Both 151 How to Write an Interpreter 151 Exercise Challenge 152 Study Drills 152 Further Study 152 Exercise 36: Simple Calculator 154 Exercise Challenge 154 Study Drills 155 Further Study 155 Exercise 37: Little BASIC 156 Exercise Challenge 156 Study Drills 157 Part VI: SQL and Object Relational Mapping 158 Exercise 38: Introduction to SQL 160 What Is SQL? 160 The Setup 161 Learning SQL Vocabulary 162 SQL Grammar 163 Further Study 163 Exercise 39: Creating with SQL 164 Creating Tables 164 Creating a Multi-table Database 165 Inserting Data 165 Insert Referential Data 166 Exercise Challenge 166 Further Study 167 Exercise 40: Reading with SQL 168 Select across Many Tables 168 Exercise Challenge 169 Further Study 170 Exercise 41: Updating with SQL 172 Updating Complex Data 172 Replacing Data 173 Exercise Challenge 173 Further Study 174 Exercise 42: Deleting with SQL 176 Deleting Using Other Tables 176 Exercise Challenge 177 Further Study 178 Exercise 43: SQL Administration 180 Destroying and Altering Tables 180 Migrating and Evolving Data 181 Exercise Challenge 182 Further Study 182 Exercise 44: Using Python’s Database API 184 Learning an API 184 Exercise Challenge 185 Further Study 185 Exercise 45: Creating an ORM 186 Exercise Challenge 186 Further Study 187 Part VII: Final Projects 188 Exercise 46: blog 190 Exercise Challenge 190 Study Drills 191 Exercise 47: bc 192 Exercise Challenge 192 Study Drill 193 Exercise 48: ed 194 Exercise Challenge 194 Study Drills 195 Exercise 49: sed 196 Exercise Challenge 197 Study Drill 197 Exercise 50: vi 198 Exercise Challenge 198 Study Drills 199 Exercise 51: lessweb 200 Exercise Challenge 200 Breaking It 200 Study Drills 201 Exercise 52: moreweb 202 Exercise Challenge 202 Breaking It 203 Further Study 203 Index 204