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Published on Oct 6, 2015
PyData London 2015
The tutorial covers standard Python and Open Source tools (pandas, matplotlib, seaborn, R/ggplot, etc.) and recent innovations (TsTables, bcolz, blaze, plot.ly) for financial time series analysis and visualization. In addition, approaches are illustrated for high performance I/O of high frequency financial data. It briefly sheds light on the visualization of real-time/streaming financial data.