Lesson 17: Simulation of Normally Distributed Data in Python

March 27, 2019

Review:

• Coin Flip simulation
• Dice simulation efforts

Presentation:

• Monte Carlo Simulation in Python
  • Discrete
    • Dice Simulation
  • Continuous
    • Normal Distribution Simulation
    • Stock Market Simulation

Activity:

• Use the parameters in Sheets “Annual” stock market simulation
• Write a program to simulate stock market returns for 1 40-year time frame.
• Edit the program to simulate stock market returns for 100 40-year time frames.
• Edit the program to simulate stock market returns for 10,000 40-year time frames.
• Save a screen capture to your portfolio

Assignment:

• Follow this link to join my DataCamp classroom
• Complete Intro to Python, Chapter 1, Python Basics
• Due before class on Monday