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We contend that the Python programming language is particularly suited to quantitative analysts/programmers working in the fiel of financia engineering. This assertion centres on two axes: the first Python’s expressiveness and high-level nature; the second, Python’s extensibility and interoperability with other programming languages. Other (arguably not so,) minor arguments to be made for Python programming in general, are the benefit to be had from the use of Python’s wealth of standard libraries (‘Python comes with batteries included’) and Python’s support for functional programming idioms.
![Financial Modelling in Python, Fletcher S., Gardner C., 2009 Financial Modelling in Python, Fletcher S., Gardner C., 2009](/img/knigi/prog/1546/154616.jpg)