"Animal face-off: Pandas vs. Polars – The battle of data analysis libraries in Python" - Arturo Ragalado
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In this talk, Arturo will present a relatively new data analysis library: Pola-rs. The new library claims to be a lightning-fast data frame library and a substitute to the industry standard Pandas. He will provide data analysis examples and challenges to discover the use cases of each library.
Biography
Arturo is a doctoral researcher with the University of Aberdeen and the National Decommissioning Centre. His research interest remains in the study of the economic effects of financial security instruments in decommissioning of oil and gas structures. He is an economist and data analyst with five years of experience in processing and interpreting data to give actionable insights to decision makers. His previous experience in the energy sector includes market advisory on oil and natural gas markets with special emphasis in modelling energy demand-supply outlooks as well as financial modelling of upstream activity. He has also worked for the Mexican Government in agencies like the Ministry of Foreign Affairs and the National Anticorruption System where he developed predictive and machine-learning models to increase evidence-based decision making for the public sector. He holds a MSc in Petroleum, Energy Economics and Finance from the University of Aberdeen, where he studied the effects of auction design on investment and deployment of renewable energy projects, and a BA in Economics from the National Autonomous University of Mexico.
