Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading and computational finance. He is author of the Python for Finance (O'Reilly, 2nd edition, 2018), Listed Volatility and Variance Derivatives (Wiley, 2017), Derivatives Analytics with Python (Wiley, 2015) and Python for Finance (O'Reilly, 2014). Yves lectures on computational finance at the CQF Program and on algorithmic trading at the EPAT Program. He is also the director of the first online training program leading to a University Certificate in Python for Algorithmic Trading. Yves has written the financial analytics library DX Analytics, conferences and bootcamps about Python for quantitative finance in Frankfurt, Berlin, Paris, London and New York. He has given keynote speeches at technology conferences in the United States, Europe and Asia.
Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.