Practical Programming, Fourth Edition

1. Pr actical Programming, Fourth Edition 2. An Introduction to Computer Science Using Python 3.14 3. by Dmitry Zinoviev 4. About the Pragmatic Bookshelf 5. Table of Contents 6. What Readers Are Saying About Practical Programmi ng 7. Acknowledgments 8. From Paul, Jennifer, and Jason: 9. From Dmitry: 10. Preface 11. Our Approach 12. Further Reading 13. What You’ll See 14. Chapter 1: What’s Programming? 15. Programs and Programming 16. What’s a Programming Language? 17. What’s a Bug? 18. The Difference Between Brackets, Braces, and Parentheses 19. Installing Python 20. Chapter 2: Hello, Python 21. How Does a Computer Run a Python Pro gram? 22. Expressions and Values: Arithmetic in Python 23. What Is a Type? 24. Variables and Computer Memory: Reme mbering Values 25. How Python Tells You Something Went Wro ng 26. A Single Statement That Spans Mult iple Lines 27. Describing Code 28. Making Code Readable 29. The Object of This Chapter 30. Exercises 31. Chapter 3: Designing and Using Functions 32. Functions That Python Provides 33. Identities: How Python Keeps Track of Values 34. Defining Custom Functions 35. Using Local Variables for Temporary Storage 36. Tracing Function Calls in th e Memory Model 37. Designing New Functions: A Recipe 38. Writing and Running a Program 39. Omitting a return Statement: None 40. Dealing with Situations Tha t Your Code Doesn’t Handle 41. What Did You Call That? 42. Exercises 43. Chapter 4: Working with Text 44. Creating Strings of Characters 45. Using Special Characters in Strings 46. Creating a Multiline String 47. Printing Information 48. Getting Information from the Keyb oard 49. Formatted Strings 50. Quotes About Strings 51. Exercises 52. Chapter 5: Making Choices 53. A Boolean Type 54. Choosing Which Statements to Exec ute 55. Nested if Statements 56. Memorizing Results of a Boolean Express ion Evaluation 57. You Learned About Booleans: True or Fa lse? 58. Exercises 59. Chapter 6: A Modular Approach to Program Organization 60. Importing Modules 61. Defining Your Modules 62. Testing Your Code Semiautomatically 63. Tips for Grouping Your Functions 64. Organizing Your Thoughts 65. Exercises 66. Chapter 7: Using Methods 67. Modules, Classes, and Methods 68. Calling Methods 69. Exploring String Methods 70. What Are Those Underscores? 71. A Methodical Review 72. Exercises 73. Chapter 8: Storing Collections of Data Using Lists 74. Storing and Accessing Data in Lists 75. Type Annotations for Lists 76. Modifying Lists 77. Operations on Lists 78. Slicing Lists 79. Aliasing: What’s in a Name? 80. List Methods 81. Working with a List of Lists 82. Splitting Strings 83. A Summary List 84. Exercises 85. Chapter 9: Repeating Code Using Loops 86. Processing Items in a List 87. Processing Characters in Strings 88. Looping Over a Range of Numbers 89. Processing Lists Using Indices 90. Nesting Loops in Loops 91. Looping Until a Condition Is Reache d 92. Repetition Based on User Input 93. Controlling Loops Using break and continue 94. Repeating What You’ve Learned 95. Exercises 96. Chapter 10: Reading and Writing Files 97. What Kinds of Files Are There? 98. Opening a File 99. Techniques for Reading Files 100. Files over the Internet 101. Writing Files 102. Writing Example Calls Using Strin gIO 103. Writing Algorithms That Use t he File-Reading Techniques 104. Multiline Records 105. Looking Ahead 106. Notes to File Away 107. Exercises 108. Chapter 11: Storing Data Using Other Collection Types 109. Storing Data Using Sets 110. Storing Data Using Tuples 111. Storing Data Using Dictionaries 112. Inverting a Dictionary 113. Using the in Operator on Tuples, Sets, and Dictionaries 114. Comparing Collections 115. Creating New Type Annotations 116. A Collection of New Information 117. Exercises 118. Chapter 12: Designing and Benchmarking Algorithms 119. Searching for the Two Smallest Values 120. Timing the Functions 121. At a Minimum, You Saw This 122. Exercises 123. Chapter 13: Searching and Sorting 124. Searching a List 125. Binary Search 126. Sorting 127. More Efficient Sorting Algori thms 128. Merge Sort: A Faster Sorting A lgorithm 129. Sorting Out What You Learned 130. Exercises 131. Chapter 14: Object-Oriented Programming 132. Understanding a Problem Domain 133. Function isinstance, Class object, and C lass Book 134. Writing a Method in Class Book 135. Plugging into Python Syntax: Mo re Special Methods 136. A Little Bit of OO Theory 137. A Case Study: Molecules, Atoms, and PDB Fil es 138. Classifying What You’ve Learned 139. Exercises 140. Chapter 15: Testing and Debugging 141. Why Do You Need to Test? 142. Case Study: Testing above_fr eezing 143. Case Study: Testing running_sum 144. Choosing Test Cases 145. Hunting Bugs 146. Bugs We’ve Put in Your Ear 147. Exercises 148. Chapter 16: Mastering Iteration Tools 149. Core Idioms 150. Functional Programming 151. Built-In and Standard Library Helpers 152. Let’s Reiterate 153. Exercises 154. Chapter 17: Handling Exceptions 155. Core Idioms 156. Accessing Exception Details 157. Common Built-in Exceptions 158. Raising and Chaining Exceptions 159. Defining Custom Exceptions 160. Exceptionally Important! 161. Exercises 162. Bibliography 163. You May Be Interested In…