Playlist Duration

Playlist · MIT OpenCourseWare

6.0001 Introduction to Computer Science and Programming in Python. Fall 2016

by MIT OpenCourseWare · 38 videos

Listed in How many hours is each free Python course on YouTube?

Total watch time

9h 58m

at 1× speed · exactly 9 hours, 58 minutes, 18 seconds at 1×

At an hour a day you'd finish in 10 days

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51:26

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Videos (38)

9h 58m in total · tick what you've watched

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Videos to
Watched Leave out of the total
1 1. What is Computation? 43:06 2019-07-31
2 Shell vs. Editor 1:20 2017-02-15
3 Python vs. Math 1:37 2017-02-15
4 Bindings 1:40 2017-02-15
5 2. Branching and Iteration 43:31 2017-02-15
6 Strings 0:53 2017-02-15
7 Comparisons 1:23 2017-02-15
8 Branching 1:06 2017-02-15
9 While Loops 1:51 2017-02-15
10 For Loops 1:55 2017-02-15
11 3. String Manipulation, Guess and Check, Approximations, Bisection 45:02 2017-02-15
12 String Manipulations 3:05 2017-02-15
13 For Loops With Strings 4:19 2017-02-15
14 4. Decomposition, Abstraction, and Functions 41:09 2017-02-15
15 Function Calls 2:35 2017-02-15
16 Functions as Arguments 3:33 2017-02-15
17 5. Tuples, Lists, Aliasing, Mutability, and Cloning 41:28 2017-02-15
18 Tuples 3:29 2017-02-15
19 Simple Lists 2:49 2017-02-15
20 List Operations 3:06 2017-02-15
21 List Aliasing/Mutation 1:55 2017-02-15
22 6. Recursion and Dictionaries 48:22 2017-02-15
23 7. Testing, Debugging, Exceptions, and Assertions 41:33 2017-02-15
24 Black Box and Glass Box Testing 2:04 2017-02-15
25 Errors 1:16 2017-02-15
26 Exceptions 2:41 2017-02-15
27 8. Object Oriented Programming 41:44 2017-02-15
28 Class Definition 0:50 2017-02-15
29 Class Instance 2:21 2017-02-15
30 Methods 1:26 2017-02-15
31 Method Call 1:47 2017-02-15
32 Special Methods 2:12 2017-02-15
33 9. Python Classes and Inheritance 47:28 2017-02-15
34 Getters and Setters 1:45 2017-02-15
35 Subclass 2:46 2017-02-15
36 10. Understanding Program Efficiency, Part 1 51:26 2017-02-15
37 11. Understanding Program Efficiency, Part 2 49:13 2017-02-15
38 12. Searching and Sorting 48:32 2017-02-15
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