fift_analytics documentation#
Useful links:
Source Repository | Issues & Ideas | Wiki & Q&A
fift_analytics is a python library maintained and developed by UCL - IFT Big Data in Quantitative Finance module lead,
it provides a series of abstraction and functionalities to build the main processes within the Big Data in Quantitative Finance activities.
User guide
The user guide provides in-depth information on the how to use key functionalities of the fift_analytics public API.
API reference
The reference guide contains a detailed description of the fift_analytics API. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts.
Want to install ift_analytics or build from source rather than use a Python distribution or
pre-built fift_analytics binary? This guide will describe how to set up your
build environment, and how to build fift_analytics itself.
Developer guide
Saw a typo in the documentation? Want to improve
existing functionalities? The contributing guidelines will guide
you through the process of improving fift_analytics.