My coursework for MIT's Course 6.00.2x: Introduction to Computational Thinking and Data Science. I took this course through edX during my senior year of high school (2018-2019).

This repository includes problem sets, assigments, projects, and other miscellaneous Python files that I completed throughout the duration of the course.

Repositories that include lesson code, assignments/exercises, and lecture-specific projects are placed into different folders based on Lecture. There is one folder for each Problem Set which includes each file involved in the pset's solution(s).

• Lecture 2: Staircase of N Steps
• Lecture 3: Maze Solver
• Lecture 4: Fibonacci Algorithm Runtime Plot
• Lecture 6: Random Walk Evolution Simulator
• Lecture 8: Monte-Carlo Integral Estimator