Python for Finance: Analyze Big Financial Data

noisy data, Noisy data

NumPy data structures, NumPy Data Structures–Structured Arrays

provision/gathering with web technology, Web Integration

quality of web sources, Financial Plots, Financial Data

real-time foreign exchange, Real-time FX data

real-time stock price quotes, Real-time stock price quotes

resampling of, High-Frequency Data

retrieving, Financial Data–Financial Data

sources of, Financial Data

storage of, Input/Output Operations

unsorted data, Unsorted data

VSTOXX data, The VSTOXX Data–VSTOXX Options Data

data visualization

3D plotting, 3D Plotting

Bokeh library for, Static Plots

financial plots, Financial Plots

for implied volatilities, Implied Volatilities

graphical analysis of Monte Carlo simulation, Graphical Analysis

interactive plots, Interactive Plots

panning/zooming, Interactive Plots

plot_surface parameters, 3D Plotting

plt.axis options, One-Dimensional Data Set

plt.candlestick parameters, Financial Plots

plt.hist parameters, Other Plot Styles

plt.legend options, Two-Dimensional Data Set

real-time plots, Real-Time Plots

standard color abbreviations, One-Dimensional Data Set

standard style characters, One-Dimensional Data Set

static plots, Static Plots

two-dimensional plotting, Two-Dimensional Plotting–Other Plot Styles

DataFrame class, First Steps with DataFrame Class–Second Steps with DataFrame Class

arrays and, Second Steps with DataFrame Class

features of, First Steps with DataFrame Class

frequency parameters for date-range function, Second Steps with DataFrame Class