Not only does it introduce n-dimensional arrays and matrices into Python, but also contains some basic mathematical functions to manipulate these data structures. NumPy is the most essential package for scientific and mathematical computing in Python. The first few packages I have in the list provide the framework to do so. I sample a few of the best packages for accomplishing each task.Īt base, all financial models rely on crunching numbers. This article focuses on applications specific to quantitative finance, which require programming tasks such as data importation and transformation, time series and risk analysis, trading and backtesting, excel integration, and data visualization.
The field of financial technologies is vast, encompassing everything from insurance, lending and trading, to e-banking and other payment services. The Most Useful Python Packages for Finance All of these packages (except quantlib) are available on the ActiveState Platform for inclusion in your runtime environment. In this article, I’ll highlight my top 10 packages for finance and financial modeling with a few basic examples. From crunching the raw numbers to creating aesthetically pleasing, yet intuitive Graphical User Interfaces (GUIs), a myriad of packages exist to help users build their own financial models. For more specific applications, the Python Package Index (PyPI) provides additional packages that extend the capabilities of Python to fit the needs of each domain.įor these reasons, Python has proven to be a formidable tool in developing novel financial technologies.
This versatility is enabled by the extensive standard library that offers a range of facilities intended to enhance the functionality and portability of the language. In addition to the vast number of use cases in web and app development, Python provides the tools for building and implementing any type of scientific or mathematical model, regardless of the origin or type of data. The popularity of the Python programming language is due, at least in part, to the versatility that it offers.
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