Wes McKinney
Python for Data Analysis (3rd ed.) by Wes McKinney (2022) is a book on our Risk & quant shelf. The standard guide to pandas, written by its creator. It suits readers interested in risk & quant, and it is legally free from O'Reilly (Open Access edition at wesmckinney.com). Licence: Free to read online from the author (Open Access edition, no signup).
Download free from O'Reilly (Open Access edition at wesmckinney.com)The standard guide to pandas, written by its creator. Loading, cleaning, reshaping, joining and grouping data, working with time series and NumPy, and plotting, with worked examples. The base skill set for analysing prices, trades and financial data in Python.
The licence listed for this title is: Free to read online from the author (Open Access edition, no signup). It is published free of charge by O'Reilly (Open Access edition at wesmckinney.com), and TopFreeBooks links only to that official source; we do not host the file.
One legally free book on money, investing or business, sent to your inbox.
Seventeen open-access research articles on financial markets, volatility and risk management around the world.
Download free
An open-access book on how banks identify and manage environmental, social and governance (ESG) risks.
Download free
An open-access volume that combines econometric theory and applications to study the dynamics of financial crises.
Download free
An open-access collection applying game theory and decision theory to problems in business, economics and finance.
Download free
An open-access collection on the use of machine learning and AI in finance, including prediction, risk and trading.
Download free
An open-access collection of advanced mathematical modelling methods used in economics, econometrics and finance.
Download free