Herein is contained Jupyter Notebooks containing worked examples of how Python can be of use in Economics and Finance.
An example with price competition in a market for homoegenous services - namely for airline tickets. Shows the benefit of using class instances instead of script-style coding.
Use of pandas and pandas-datareader to download historical stock data and several economic indicators. Employ statsmodels to forecast the stock price.
Simple Monte-Carlo method for # a European Call option. Purpose is to show great speed-up with numpy vs pure python.