Yves Hilpisch: Open source tools for financial time series analysis and visualization
4,810 views · Published 6 October 2015 · 1:33:21 · Indexed 26 September 2026
Channel: PyData · 2015 · Science & Technology
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. Slides available here: https://github.com/yhilpisch/pydlon15 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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