Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw's Hard Way Series)

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 (http://informit.com/register) informit.com/register for convenient access to downloads, updates, and/or corrections as they become available. Normal 0 false false false EN-US X-NONE X-NONE Cover 1 Title Page 4 Copyright Page 5 Contents 6 Preface 15 It’s All Personal 16 Using the Included Videos 16 PART I: Initial Knowledge 19 What If I Hate Your Stupid Personal Process Zed? 20 What If I Find Out I’m Terrible? 20 Exercise 0 The Setup 23 A Programmer’s Editor 23 Python 3.6 23 A Working Terminal 23 A Working pip+virtualenv Configuration 24 Lab Journal 24 A Github.com Account 24 git 24 Optional: Screen-Recording Software 25 Further Study 25 Exercise 1 On Process 27 Exercise Challenge 28 Study Drills 29 Further Study 29 Exercise 2 On Creativity 31 Exercise Challenge 31 Study Drill 32 Exercise 3 On Quality 33 Exercise Challenge 35 Study Drill 35 PART II: Quick Hacks 37 How to Practice Creativity 38 A Process for Early Coders 39 An Early Coder’s Coding Process 40 Exercise 4 Dealing with Command Line Arguments 41 Exercise Challenge 41 Solution 42 Study Drills 42 Exercise 5 cat 43 Exercise Challenge 43 Solution 44 Study Drills 44 Further Study 44 Exercise 6 find 45 Exercise Challenge 46 Study Drills 47 Further Study 47 Exercise 7 grep 49 Exercise Challenge 49 Study Drills 50 Further Study 50 Exercise 8 cut 51 Exercise Challenge 52 Study Drill 52 Further Study 52 Exercise 9 sed 53 Exercise Challenge 53 Study Drills 54 Further Study 54 Exercise 10 sort 55 Exercise Challenge 55 Study Drills 56 Further Study 56 Exercise 11 uniq 57 Exercise Challenge 57 Study Drills 58 Further Study 58 Exercise 12 Review 59 Exercise Challenge 59 Study Drills 60 Further Study 60 PART III: Data Structures 63 Learning Quality through Data Structures 64 How to Study Data Structures 65 Exercise 13 Single Linked Lists 67 Description 67 Controller 69 Test 70 Introductory Auditing 72 Exercise Challenge 73 Auditing 73 Study Drill 73 Exercise 14 Double Linked Lists 75 Introducing Invariant Conditions 76 Exercise Challenge 77 Study Drill 78 Exercise 15 Stacks and Queues 79 Exercise Challenge 79 Breaking It 81 Further Study 81 Exercise 16 Bubble, Quick, and Merge Sort 83 Exercise Challenge 83 Study Bubble Sort 85 Merge Sort 86 Merge Sort Cheat Mode 87 Quick Sort 88 Study Drills 88 Exercise 17 Dictionary 91 Exercise Challenge 91 Doing a “Code Master Copy” 91 Copy the Code 92 Annotate the Code 95 Summarize the Data Structure 95 Memorize the Summary 96 Implement from Memory 97 Repeat 97 Study Drills 98 Break It 98 Exercise 18 Measuring Performance 99 The Tools 99 timeit 99 cProfile and profile 100 Analyzing Performance 101 Exercise Challenge 103 Study Drills 103 Breaking It 103 Further Study 103 Exercise 19 Improving Performance 105 Exercise Challenge 106 Further Study 107 Exercise 20 Binary Search Trees 109 BSTree Requirements 109 Deleting 110 Exercise Challenge 111 Study Drills 111 Exercise 21 Binary Search 113 Exercise Challenge 113 Study Drills 113 Further Study 114 Exercise 22 Suffix Arrays 115 Exercise Challenge 116 Study Drills 116 Further Study 116 Exercise 23 Ternary Search Trees 117 Exercise Challenge 117 Study Drills 119 Exercise 24 Fast URL Search 121 Exercise Challenge 121 Study Drills 122 Further Study 122 PART IV: Intermediate Projects 123 Tracking Your Defects 124 Exercise 25 xargs 125 Exercise Challenge 125 Study Drills 125 Exercise 26 hexdump 127 Exercise Challenge 128 Study Drill 129 Further Study 129 Exercise 27 tr 131 Exercise Challenge 131 A Criticism of 45-Minute Blocks 132 Study Drills 132 Exercise 28 sh 133 Exercise Challenge 133 Study Drill 134 Further Study 134 Exercise 29 diff and patch 135 Exercise Challenge 135 Study Drill 136 Further Study 136 PART V: Parsing Text 137 Introducing Code Coverage 137 Exercise 30 Finite State Machines 139 Exercise Challenge 140 Study Drills 142 Further Study 142 Exercise 31 Regular Expressions 143 Exercise Challenge 144 Study Drills 145 Further Study 145 Exercise 32 Scanners 147 Puny Python Scanner 148 Exercise Challenge 150 Study Drills 150 Further Study 150 Exercise 33 Parsers 153 Recursive Descent Parsing 154 BNF Grammars 155 Quick Demo Hack Parser 157 Exercise Challenge 159 Study Drill 159 Further Study 159 Exercise 34 Analyzers 161 Visitor Pattern 161 A Short Puny Python Analyzer 162 Parser versus Analyzer 165 Exercise Challenge 165 Study Drills 166 Further Study 166 Exercise 35 Interpreters 167 Interpreters versus Compilers 167 Python Is Both 168 How to Write an Interpreter 168 Exercise Challenge 169 Study Drills 169 Further Study 169 Exercise 36 Simple Calculator 171 Exercise Challenge 171 Study Drills 172 Further Study 172 Exercise 37 Little BASIC 173 Exercise Challenge 173 Study Drills 174 PART VI: SQL and Object Relational Mapping 175 Understanding SQL Is Understanding Tables 175 What You’ll Learn 176 Exercise 38 Introduction to SQL 177 What Is SQL? 177 The Setup 178 Learning SQL Vocabulary 179 SQL Grammar 180 Further Study 180 Exercise 39 Creating with SQL 181 Creating Tables 181 Creating a Multi-table Database 182 Inserting Data 182 Insert Referential Data 183 Exercise Challenge 183 Further Study 184 Exercise 40 Reading with SQL 185 Select across Many Tables 185 Exercise Challenge 186 Further Study 187 Exercise 41 Updating with SQL 189 Updating Complex Data 189 Replacing Data 190 Exercise Challenge 190 Further Study 191 Exercise 42 Deleting with SQL 193 Deleting Using Other Tables 193 Exercise Challenge 194 Further Study 195 Exercise 43 SQL Administration 197 Destroying and Altering Tables 197 Migrating and Evolving Data 198 Exercise Challenge 199 Further Study 199 Exercise 44 Using Python’s Database API 201 Learning an API 201 Exercise Challenge 202 Further Study 202 Exercise 45 Creating an ORM 203 Exercise Challenge 203 Further Study 204 PART VII: Final Projects 205 What Is Your Process? 206 Exercise 46 blog 207 Exercise Challenge 207 Study Drills 208 Exercise 47 bc 209 Exercise Challenge 209 Study Drill 210 Exercise 48 ed 211 Exercise Challenge 211 Study Drills 212 Exercise 49 sed 213 Exercise Challenge 214 Study Drill 214 Exercise 50 vi 215 Exercise Challenge 215 Study Drills 216 Exercise 51 lessweb 217 Exercise Challenge 217 Breaking It 217 Study Drills 218 Exercise 52 moreweb 219 Exercise Challenge 219 Breaking It 220 Further Study 220 Index 221 A 221 B 222 C 222 D 224 E 225 F 225 G 226 H 226 I 226 J 227 K 227 L 227 M 227 N 228 O 228 P 228 Q 229 R 230 S 230 T 232 U 233 V 233 W 234 X 234 Y 234 Z 234 MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict MuPDF error: syntax error: invalid key in dict Cover 1 Title Page 4 Copyright Page 5 Contents 6 Preface 15 It’s All Personal 16 Using the Included Videos 16 PART I: Initial Knowledge 19 What If I Hate Your Stupid Personal Process Zed? 20 What If I Find Out I’m Terrible? 20 Exercise 0 The Setup 23 A Programmer’s Editor 23 Python 3.6 23 A Working Terminal 23 A Working pip+virtualenv Configuration 24 Lab Journal 24 A Github.com Account 24 git 24 Optional: Screen-Recording Software 25 Further Study 25 Exercise 1 On Process 27 Exercise Challenge 28 Study Drills 29 Further Study 29 Exercise 2 On Creativity 31 Exercise Challenge 31 Study Drill 32 Exercise 3 On Quality 33 Exercise Challenge 35 Study Drill 35 PART II: Quick Hacks 37 How to Practice Creativity 38 A Process for Early Coders 39 An Early Coder’s Coding Process 40 Exercise 4 Dealing with Command Line Arguments 41 Exercise Challenge 41 Solution 42 Study Drills 42 Exercise 5 cat 43 Exercise Challenge 43 Solution 44 Study Drills 44 Further Study 44 Exercise 6 find 45 Exercise Challenge 46 Study Drills 47 Further Study 47 Exercise 7 grep 49 Exercise Challenge 49 Study Drills 50 Further Study 50 Exercise 8 cut 51 Exercise Challenge 52 Study Drill 52 Further Study 52 Exercise 9 sed 53 Exercise Challenge 53 Study Drills 54 Further Study 54 Exercise 10 sort 55 Exercise Challenge 55 Study Drills 56 Further Study 56 Exercise 11 uniq 57 Exercise Challenge 57 Study Drills 58 Further Study 58 Exercise 12 Review 59 Exercise Challenge 59 Study Drills 60 Further Study 60 PART III: Data Structures 63 Learning Quality through Data Structures 64 How to Study Data Structures 65 Exercise 13 Single Linked Lists 67 Description 67 Controller 69 Test 70 Introductory Auditing 72 Exercise Challenge 73 Auditing 73 Study Drill 73 Exercise 14 Double Linked Lists 75 Introducing Invariant Conditions 76 Exercise Challenge 77 Study Drill 78 Exercise 15 Stacks and Queues 79 Exercise Challenge 79 Breaking It 81 Further Study 81 Exercise 16 Bubble, Quick, and Merge Sort 83 Exercise Challenge 83 Study Bubble Sort 85 Merge Sort 86 Merge Sort Cheat Mode 87 Quick Sort 88 Study Drills 88 Exercise 17 Dictionary 91 Exercise Challenge 91 Doing a “Code Master Copy” 91 Copy the Code 92 Annotate the Code 95 Summarize the Data Structure 95 Memorize the Summary 96 Implement from Memory 97 Repeat 97 Study Drills 98 Break It 98 Exercise 18 Measuring Performance 99 The Tools 99 timeit 99 cProfile and profile 100 Analyzing Performance 101 Exercise Challenge 103 Study Drills 103 Breaking It 103 Further Study 103 Exercise 19 Improving Performance 105 Exercise Challenge 106 Further Study 107 Exercise 20 Binary Search Trees 109 BSTree Requirements 109 Deleting 110 Exercise Challenge 111 Study Drills 111 Exercise 21 Binary Search 113 Exercise Challenge 113 Study Drills 113 Further Study 114 Exercise 22 Suffix Arrays 115 Exercise Challenge 116 Study Drills 116 Further Study 116 Exercise 23 Ternary Search Trees 117 Exercise Challenge 117 Study Drills 119 Exercise 24 Fast URL Search 121 Exercise Challenge 121 Study Drills 122 Further Study 122 PART IV: Intermediate Projects 123 Tracking Your Defects 124 Exercise 25 xargs 125 Exercise Challenge 125 Study Drills 125 Exercise 26 hexdump 127 Exercise Challenge 128 Study Drill 129 Further Study 129 Exercise 27 tr 131 Exercise Challenge 131 A Criticism of 45-Minute Blocks 132 Study Drills 132 Exercise 28 sh 133 Exercise Challenge 133 Study Drill 134 Further Study 134 Exercise 29 diff and patch 135 Exercise Challenge 135 Study Drill 136 Further Study 136 PART V: Parsing Text 137 Introducing Code Coverage 137 Exercise 30 Finite State Machines 139 Exercise Challenge 140 Study Drills 142 Further Study 142 Exercise 31 Regular Expressions 143 Exercise Challenge 144 Study Drills 145 Further Study 145 Exercise 32 Scanners 147 Puny Python Scanner 148 Exercise Challenge 150 Study Drills 150 Further Study 150 Exercise 33 Parsers 153 Recursive Descent Parsing 154 BNF Grammars 155 Quick Demo Hack Parser 157 Exercise Challenge 159 Study Drill 159 Further Study 159 Exercise 34 Analyzers 161 Visitor Pattern 161 A Short Puny Python Analyzer 162 Parser versus Analyzer 165 Exercise Challenge 165 Study Drills 166 Further Study 166 Exercise 35 Interpreters 167 Interpreters versus Compilers 167 Python Is Both 168 How to Write an Interpreter 168 Exercise Challenge 169 Study Drills 169 Further Study 169 Exercise 36 Simple Calculator 171 Exercise Challenge 171 Study Drills 172 Further Study 172 Exercise 37 Little BASIC 173 Exercise Challenge 173 Study Drills 174 PART VI: SQL and Object Relational Mapping 175 Understanding SQL Is Understanding Tables 175 What You’ll Learn 176 Exercise 38 Introduction to SQL 177 What Is SQL? 177 The Setup 178 Learning SQL Vocabulary 179 SQL Grammar 180 Further Study 180 Exercise 39 Creating with SQL 181 Creating Tables 181 Creating a Multi-table Database 182 Inserting Data 182 Insert Referential Data 183 Exercise Challenge 183 Further Study 184 Exercise 40 Reading with SQL 185 Select across Many Tables 185 Exercise Challenge 186 Further Study 187 Exercise 41 Updating with SQL 189 Updating Complex Data 189 Replacing Data 190 Exercise Challenge 190 Further Study 191 Exercise 42 Deleting with SQL 193 Deleting Using Other Tables 193 Exercise Challenge 194 Further Study 195 Exercise 43 SQL Administration 197 Destroying and Altering Tables 197 Migrating and Evolving Data 198 Exercise Challenge 199 Further Study 199 Exercise 44 Using Python’s Database API 201 Learning an API 201 Exercise Challenge 202 Further Study 202 Exercise 45 Creating an ORM 203 Exercise Challenge 203 Further Study 204 PART VII: Final Projects 205 What Is Your Process? 206 Exercise 46 blog 207 Exercise Challenge 207 Study Drills 208 Exercise 47 bc 209 Exercise Challenge 209 Study Drill 210 Exercise 48 ed 211 Exercise Challenge 211 Study Drills 212 Exercise 49 sed 213 Exercise Challenge 214 Study Drill 214 Exercise 50 vi 215 Exercise Challenge 215 Study Drills 216 Exercise 51 lessweb 217 Exercise Challenge 217 Breaking It 217 Study Drills 218 Exercise 52 moreweb 219 Exercise Challenge 219 Breaking It 220 Further Study 220 Index 221 A 221 B 222 C 222 D 224 E 225 F 225 G 226 H 226 I 226 J 227 K 227 L 227 M 227 N 228 O 228 P 228 Q 229 R 230 S 230 T 232 U 233 V 233 W 234 X 234 Y 234 Z 234 **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.__ Written by the world-renowned Zed Shaw, this book of 52 hands-on projects is perfect for everyone who's written Python code but isn't yet comfortable taking new ideas all the way to finished software. The perfect follow-up to Shaw's best-selling "Learn Python the Hard Way," this all-new, step-by-step book teaches you how to: Approach new problems in ways that lead to better solutions Analyze a concept, idea, or problem to implement in code Design a solution based on your analysis Implement your solution in the simplest way possible Systematically improve your programming skills through real projects Each project in Learn More Python the Hard Way helps you build a key practical skill -- combining demonstrations to get you started, and challenges to help you achieve even deeper understanding. Shaw organizes this practical programming course into five sections: working with commands, organizing and using data, applying algorithms, processing text, and implementing simple internet-style networking protocols. Along the way, Shaw stresses efficient processes and practical hacking mindsets -- helping you gain true mastery, not just follow recipes!