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"description": "The tutorial covers standard Python and Open Source tools (pandas,\nmatplotlib, seaborn, R/ggplot, etc.) and recent innovations\n(TsTables, bcolz, blaze, plot.ly) for financial time series analysis\nand visualization. In addition, approaches are illustrated for high\nperformance I/O of high frequency financial data. It briefly sheds\nlight on the visualization of real-time/streaming financial data.\n\nSlides available here: https://github.com/yhilpisch/pydlon15",