MIT 6.100L Introduction to CS and Programming using Python, Fall 2022 (English)

   Thursday, November 28, 2024   

Starting a new Lecture Notes Series on MIT 6.100L Introduction to CS and Programming using Python, Fall 2022

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Lecture 1: Lecture 1: Introduction to CS and Programming Using Python

Lecture 2: Lecture 2: Strings, Input/Output, and Branching

Lecture 3: Lecture 3: Iteration

Lecture 4: Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 5: Lecture 5: Floats and Approximation Methods

Lecture 6: Lecture 6: Bisection Search (FIXED)

Lecture 7: Lecture 7: Decomposition, Abstraction, and Functions

Lecture 8: Lecture 8: Functions as Objects

Lecture 9: Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 10: Lecture 10: Lists and Mutability (FIXED)

Lecture 11: Lecture 11: Aliasing and Cloning

Lecture 12: Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)

Lecture 13: Lecture 13: Exceptions and Assertions

Lecture 14: Lecture 14: Dictionaries

Lecture 15: Lecture 15: Recursion

Lecture 16: Lecture 16: Recursion on Non-numerics

Lecture 17: Lecture 17: Python Classes

Lecture 18: Lecture 18: More Python Class Methods

Lecture 19: Lecture 19: Inheritance

Lecture 20: Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 21: Lecture 21: Timing Programs and Counting Operations

Lecture 22: Lecture 22: Big Oh and Theta

Lecture 23: Lecture 23: Complexity Classes Examples

Lecture 24: Lecture 24: Sorting Algorithms

Lecture 25: Lecture 25: Plotting

Lecture 26: Lecture 26: List Access, Hashing, Simulations, and Wrap-Up