SAFE Research Data Center is organizing a web seminar on
Managing Large Datasets in Python
Dr. Satchit Sagade
SAFE Research Data Center and Goethe University
Finance researchers routinely work with big datasets that do not fit in memory and/or perform heavy computations that can be time consuming. This webinar introduces participants to the tools necessary to efficiently process such datasets. We will work with Refinitiv's Tick History database and compute some popular liquidity and transaction cost measures.
The webinars will be conducted using Anaconda's Python 3 installation.