Intro to CS & Programming in Python (MIT 6.100L)

Introductory Computer Science by Física UNAM. 26 lectures, 27.8 hours. Covers: python programming loops functions recursion objects classes.

Lectures

  1. Lecture 1: Introduction to CS and Programming Using Python · 1 h 4 min
  2. Lecture 2: Strings, Input/Output, and Branching · 1 h 19 min
  3. Lecture 3: Iteration · 47 min
  4. Lecture 4: Loops over Strings, Guess-and-Check, and Binary · 1 h 13 min
  5. Lecture 5: Floats and Approximation Methods · 47 min
  6. Lecture 6: Bisection Search · 1 h 14 min
  7. Lecture 7: Decomposition, Abstraction, and Functions · 46 min
  8. Lecture 8: Functions as Objects · 1 h 18 min
  9. Lecture 9: Lambda Functions, Tuples, and Lists · 45 min
  10. Lecture 10: Lists and Mutability · 1 h 15 min
  11. Lecture 11: Aliasing and Cloning · 46 min
  12. Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging · 1 h 16 min
  13. Lecture 13: Exceptions and Assertions · 43 min
  14. Lecture 14: Dictionaries · 1 h 18 min
  15. Lecture 15: Recursion · 45 min
  16. Lecture 16: Recursion on Non-numerics · 1 h 18 min
  17. Lecture 17: Python Classes · 48 min
  18. Lecture 18: More Python Class Methods · 1 h 17 min
  19. Lecture 19: Inheritance · 1 h 17 min
  20. Lecture 20: Fitness Tracker Object-Oriented Programming Example · 1 h 19 min
  21. Lecture 21: Timing Programs and Counting Operations · 32 min
  22. Lecture 22: Big Oh and Theta · 1 h 21 min
  23. Lecture 23: Complexity Classes Examples · 1 h 21 min
  24. Lecture 24: Sorting Algorithms · 48 min
  25. Lecture 25: Plotting · 1 h 18 min
  26. Lecture 26: List Access, Hashing, Simulations, and Wrap-Up · 1 h 13 min

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