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#Programming #Python
This video walks through a Python‑powered Oil Price Shock Simulator that models how changes in crude oil prices ripple through the economy. Using simple, transparent formulas and clean visualizations, the program shows how an oil shock can influence airline ticket prices, gas prices, inflation, and the broader energy sector.
What You’ll Learn
►How oil price fluctuations cascade through multiple industries
►How to build a clear, beginner‑friendly economic simulation in Python
►How to visualize ripple effects using Matplotlib bar charts
►How to structure variables, functions, and economic relationships in code
►How to interpret the results of a multi‑sector shock model
Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
📊 Code or Dataset: Available on Patreon
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📚Helpful Python Programming Books📚
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► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
► Learning Python:
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2026/03/31
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