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Open Source Tools for Financial Time Series Analysis and Visualization

Description

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

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