Note: Except for the Fibonacci Standalone example, all examples require a Python installation with xlwings >=v0.11.0 and the xlwings Excel add-in installed.
This is the simplest possible example demonstrating the calculation of the Fibonacci sequence.
This example shows the computational power of Python by performing a Monte Carlo simulation of the price development of a financial asset. Prices are assumed to follow a log-normal distribution.
These versions are small in size but require an installation of Python with xlwings and the xlwings Excel add-in installed. We recommend to install the Anaconda distribution as it already contains all the packages used in the examples, including xlwings, pywin32, numpy, scipy and pandas.
These versions run out-of-the-box after unzipping without any dependencies but are bigger in size.