The graduate-level Quantitative Finance course will equip students with knowledge about the application of Python in finance, especially in real-time and big data finance rather than historical structured data. Students are expected to be able to apply Python to quantitatively analyze various models in the field of finance after completing the course. The discussion content will be conducted on multiple topics, including Python, at both basic and advanced levels. These topics are used diversely and widely in finance, especially in evaluating financial assets, options, derivatives, simulation work, forecasting, setting up optimal investment portfolios, and analyzing trading strategies to maximize returns and/or minimize risk.