Mastering Numerical Computing with NumPy

Working with NumPy Arrays

Scientific computing is a multidisciplinary field, with its applications spanning across disciplines such as numerical analysis, computational finance, and bioinformatics.

Let's consider a case for financial markets. When you think about financial markets, there is a huge interconnected web of interactions. Governments, banks, investment funds, insurance companies, pensions, individual investors, and others are involved in this exchange of financial instruments. You can't simply model all the interactions between market participants because everyone who is involved in financial transactions has different motives and different risk/return objectives. There are also other factors which affect the prices of financial ...