Daniel Goldfarb
Daniel has been a software engineer at Bloomberg L.P. for nearly three decades. He recently started coding in Python and quickly fell in love with using Pandas for data science.
Daniel has extensive experience developing Trading Systems, Risk Analytics, and applications for analyzing Equities and Fixed Income securities. He has taught numerous engineering courses at Bloomberg. Daniel holds a Ph.D. in Biophysics from the University of Virginia, and was a CFA charter holder and member of the Chartered Financial Analyst Institute for more than 10 years. He is also the author of "Biophysics Demystified."
Sessions
Pandas is easy and fun to use, so much so that even a Python newbie can use it. I tell the story of how, as a new Python developer, I quickly learned enough Pandas to be able test some hypotheses about financial markets.