Python for Finance: Analyze Big Financial Data

applications, market data and other data as well as Python objects are first collected, then

a market_environment object is instantiated and filled with the relevant data and objects.

This is then delivered in a single step to other classes that need the data and objects stored

in the respective market_environment object.

A major advantage of this object-oriented modeling approach is, for example, that

instances of the constant_short_rate class can live in multiple environments. Once the

instance is updated — for example, when a new constant short rate is set — all the

instances of the market_environment class containing that particular instance of the

discounting class will be updated automatically.