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Practical Approaches to Problems in the Financial Industry using Python

Description

In this lecture we will show an applied case with Ipython notebook as a quant explores a typical financial problem with the help of various Python libraries and software engineering. The specific case is a small scale market risk platform using historical simulation to calculate value at risk.

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