Recursion & Efficiency Visualizer

An introduction to more complex computer science topics including recursive functions and object-oriented design. Recursion & Efficiency Visualizer turns that idea into something you can manipulate directly and watch respond.

An introduction to more complex computer science topics including recursive functions and object-oriented design. It focuses on Recursion, Algorithmic Efficiency, Object-Oriented Programming (OOP), Data Structures (Dictionaries) from the “Recursion, Efficiency, and OOP” section.

The “Input (n):”, “Use Dictionary (Memoization):”, “Speed:” sliders change the key inputs; toggles show or hide layers so you can compare cases; the “Run Recursion” button run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

MIT's 6.0001 Introduction to Computer Science and Programming in Python is a foundational course designed for students with little to no prior programming experience. The course focuses on using Python 3.5 to develop co… This demo is the interactive piece for the “Recursion, Efficiency, and OOP” section. Open the full Introduction to Computer Science and Programming in Python course wiki at https://www.getlykke.com/explore/public/introduction-to-computer-science-and-programming-3c4dc7ee-937e-431e-9ad1-29e6d93fcbff for notes, flashcards, quizzes and the other demos.

You'll build intuition for Recursion, Algorithmic Efficiency, Object-Oriented Programming (OOP), Data Structures (Dictionaries) — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Introduction to Computer Science and Programming in Python alone.