Programming With Generative AI

Lec 219 Summary

Lec 218 Testing the list implementation

Lec 217 A simple implementation of Python lists (Part 4)

Lec 216 A simple implementation of Python lists (Part 3)

Lec 215 A simple implementation of Python lists (Part 2)

Lec 214 A simple implementation of Python lists (Part 1)

Lec 213 Understanding (simplified) Python lists

Lec 212 Processing textual data: C or Python

Lec 211 Data-centric improvements (to_ind_lower)

Lec 210 Algorithm-centric improvements (to_ind_lower)

Lec 209 Summary

Lec 208 Visualizing the revised version (with malloc)

Lec 207 Allocating memory on the heap

Lec 206 Fixing one error, revealing another

Lec 205 Copying a string (Attempt 2)

Lec 204 Copying a string (Attempt 1)

Lec 203 Preventing accidental mutation

Lec 202 Visualizing our friend's translation

Lec 201 Our friend's translation

Lec 200 Visualizing the modified to_ind_lower function

Lec 199 Example 2 (to_ind_lower)

Lec 198 Mutable and immutable strings

Lec 197 Strings in C (char *)

Lec 196 Strings in C (char [])

Lec 195 Basics of strings in C

Lec 194 Correcting the error

Lec 193 Visualizing the incorrect is_upper function

Lec 192 Example 1 (is_upper)

Lec 191 Summary

Lec 190 Example 2, Attempt 3

Lec 189 Semantics of integer division

Lec 188 Example 2, Attempt 2

Lec 187 Python: Example 2

Lec 186 C programming style

Lec 185 Visualizing Python and C code

Lec 184 Key syntactic differences: Python vs C

Lec 183 Translating Example 1 to C

Lec 182 Python: Example 1

Lec 181 Python vs C: Similarities and differences

Lec 180 Learning a new programming language

Lec 179 Revised code after additional clarifications

Lec 178 Additional ChatGPT inputs

Lec 177 Generating the code after clarifying (using ChatGPT)

Lec 176 Are ChatGPT suggestions "good"?

Lec 175 Understanding the interpretation of "between"

Lec 174 Clarifying the task: count_between

Lec 173 Summary

Lec 172 Writing doctests for is_prime

Lec 171 Test Driven Development

Lec 170 Reviewing ChatGPT's solution

Lec 169 Clarifying the task

Lec 168 Example: substring_count

Lec 167 Basic dict operations

Lec 166 Representing tabular data

Lec 165 Refuting the buggy function

Lec 164 Example (Pattern 3): max_profit

Lec 163 Pattern 3: All pairs

Lec 162 An important case (nobreak with no iterations)

Lec 161 Visualizing num_unique

Lec 160 A correct implementation of num_unique

Lec 159 Incorrect implementations of num_unique

Lec 158 The num_unique function

Lec 157 Implementing binary search

Lec 156 Searching in a sorted list

Lec 155 Replacing while with for: Example 2

Lec 154 Replacing while with for: Example 1

Lec 153 Iterative version

Lec 152 A recursive mystery function

Lec 151 Summary

Lec 150 An interesting takeaway

Lec 149 Refuting the buggy function

Lec 148 A buggy function using Pattern 2

Lec 147 List comprehension

Lec 146 Our friend's suggestion

Lec 145 Visualizing appending to a list

Lec 144 Another example of Pattern 2

Lec 143 An example of Pattern 2

Lec 142 Visualizing the new version

Lec 141 Another version of prime_product

Lec 140 Visualizing prime_product

Lec 139 The is_prime function

Lec 138 Pattern 2: Accumulate

Lec 137 Refuting the buggy function

Lec 136 A buggy function using Pattern 1

Lec 135 An error in AI-generated code

Lec 134 Examples of Pattern 1

Lec 133 Pattern 1: Iterate until "success"

Lec 132 Visualizing a for-loop

Lec 131 A better (iterative) solution

Lec 130 Visualizing the mystery function

Lec 129 A mystery (recursive) function

Lec 128 Summary

Lec 127 Sequence unpacking

Lec 126 Tuples

Lec 125 Exceptions

Lec 124 Step 1: Suggested modification

Lec 123 Lists are mutable

Lec 122 Clarifying the code's expected behaviour

Lec 121 Asking clarifying questions

Lec 120 Improving code readability

Lec 119 Poor code readability

Lec 118 Modifying existing code

Lec 117 Summary

Lec 116 Immutable objects

Lec 115 Refuting our friend's code

Lec 114 Our friend's code: num_vowels

Lec 113 Testing your understanding

Lec 112 String operations and methods

Lec 111 Testing out understanding further

Lec 110 Testing our understanding

Lec 109 Strings in Python

Lec 108 Clarifying questions: num_vowels

Lec 107 Refuting our friend's code

Lec 106 Tracing our friend's code

Lec 105 Our friend's recursive function

Lec 104 Clarifying the task

Lec 103 "Ask the Client" problems

Lec 102 Summary

Lec 101 Refuting the buggy code

Lec 100 A non-recursive solution

Lec 99 Using the default visualization

Lec 98 A correct recursive function

Lec 97 Infinite recursion

Lec 96 Introduction to recursion

Lec 95 Refuting our friend's code

Lec 94 Definition of a leap year

Lec 93 Tracing a call to the helper function

Lec 92 Calling a helper function

Lec 91 Solving a problem with a helper function

Lec 90 Summary

Lec 89 Inequivalence due to short-circuiting

Lec 88 Short-circuiting

Lec 87 Understanding and fixing the error

Lec 86 Identifying an unexpected behaviour

Lec 85 Simplification 3

Lec 84 Boolean/logical operators

Lec 83 Critique our friend's function

Lec 82 Refuting the num_days function

Lec 81 Attempting to refute

Lec 80 Feedback for Refute Problems

Lec 79 Simplification 2

Lec 78 Refuting the median function

Lec 77 Elements of a Refute Problem

Lec 76 Fixing the error, Simplification 1

Lec 75 Example 2 (modified is_multiple)

Lec 74 Key Observations

Lec 73 Fixing the code

Lec 72 The error in Example 1

Lec 71 Visualizing a function call

Lec 70 Visualizing Example 1

Lec 69 Example 1 (is_multiple)

Lec 68 Summary

Lec 67 Introduction to Refute problems

Lec 66 Complex conditional statements

Lec 65 Critiquing AI-generated code

Lec 64 Simple conditional statements

Lec 63 Improvement 3

Lec 62 Improvement 2 continued

Lec 61 Example of a poorly designed function

Lec 60 Improvement 2

Lec 59 Improvement 1

Lec 58 Principles of good function design

Lec 57 Poorly designed and well designed functions

Lec 56 Summary

Lec 55 ChatGPT vs GitHub Copilot

Lec 54 Fixing GitHub Copilot assumptions

Lec 53 Further model assumptions

Lec 52 Using GitHub Copilot to debug

Lec 51 Fixing ChatGPT assumptions

Lec 50 Using ChatGPT to debug

Lec 49 Another example: Patient Data (buggy)

Lec 48 AI-generated program 1

Lec 47 AI-generated program 1

Lec 46 Nested function calls

Lec 45 Debugging the code

Lec 44 Reviewing our friend's critique of buggy code

Lec 43 Celcius to Fahrenheit (buggy)

Lec 42 The input function

Lec 41 Other built-in functions

Lec 40 Properties of mathematical functions

Lec 39 Representing complex programs abstractly as functions

Lec 38 Summary

Lec 37 Good, Poor, and Illegal Variable names

Lec 36 Swapping two variables (correct)

Lec 35 Swapping two variables (incorrect)

Lec 34 Introduction to PythonTutor

Lec 33 A final misconception with assignments

Lec 32 Another misconception with assignments

Lec 31 Clarifying the misconception

Lec 30 Assignment statements and a common misconception

Lec 29 Assignment statements in Python

Lec 28 Evaluating a complex expression

Lec 27 Summary

Lec 26 Strings

Lec 25 Textual data

Lec 24 Python Objects

Lec 23 Limits to float computation

Lec 22 Test Our Friend's Understanding

Lec 21 Introducing "our friend"

Lec 20 Naming Things

Lec 19 Binary digits (bits)

Lec 18 Investigation sys.float_info

Lec 17 Limits to arithmetic computation

Lec 16 Complex Expressions

Lec 15 Test Your Understanding

Lec 14 Basic Arithmetic Operators

Lec 13 The REPL

Lec 12 Python resources

Lec 11 Summary

Lec 10 Test Your Understanding

Lec 09 Assumptions in AI-generated code

Lec 08 Why is GenAI so effective at coding?

Lec 07 Refuting an Algorithm

Lec 06 How effective is GenAI at coding?

Lec 05 Test Your Understanding

Lec 04 Key Programming Trends

Lec 03 Algorithms for prime numbers

Lec 02 What is (and isn't) an algorithm?

Lec 01 What do Programmers Do?

Programming with Generative AI (introduction video)