SEARCH COURSES

Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)

(37 Lectures Available)


S#LectureCourseInstituteDiscipline
1 1. What is Computation Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
2 Shell vs. Editor Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
3 Python vs. Math Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
4 Bindings Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
5 2. Branching and Iteration Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
6 Strings Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
7 Comparisons Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
8 Branching Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
9 While Loops Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
10 For Loops Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
11 3. String Manipulation, Guess and Check, Approximations, Bisection Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
12 String Manipulations Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
13 For Loops With Strings Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
14 4. Decomposition, Abstraction, and Functions Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
15 Function Calls Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
16 Functions as Arguments Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
17 5. Tuples, Lists, Aliasing, Mutability, and Cloning Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
18 Tuples Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
19 Simple Lists Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
20 List Operations Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
21 List Aliasing Mutation Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
22 6. Recursion and Dictionaries Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
23 7. Testing, Debugging, Exceptions, and Assertions Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
24 Black Box and Glass Box Testing Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
25 Errors Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences

of 2 37 Lectures Available.