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

(37 Lectures Available)


Lecture Course Institute Discipline
1. What is Computation Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Shell vs. Editor Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Python vs. Math Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Bindings Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
2. Branching and Iteration Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Strings Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Comparisons Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Branching Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
While Loops Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
For Loops Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
3. String Manipulation, Guess and Check, Approximations, Bisection Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
String Manipulations Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
For Loops With Strings Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
4. Decomposition, Abstraction, and Functions Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Function Calls Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Functions as Arguments Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
5. Tuples, Lists, Aliasing, Mutability, and Cloning Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Tuples Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Simple Lists Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
List Operations Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
List Aliasing Mutation Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
6. Recursion and Dictionaries Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
7. Testing, Debugging, Exceptions, and Assertions Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Black Box and Glass Box Testing Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences
Errors Introduction to Computer Science and Programming in Python . Fall 2016 (MIT) MIT Applied Sciences

of 2 37 Lectures Available.