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numpy.exp

Python. Called in 8 tutorials; each line below leads to its place in the tutorial.

ToolPythonIntermediate

Filtering with scipy.signal: mains hum and noise out of an ECG

ecg += amp * np.exp(-0.5 * ((t - t_r - offset) / width) ** 2)

RecipePythonBeginner

Fit a curve to data with error bars and draw a confidence band

ToolPythonBeginner

Matplotlib from the ground up: a two-panel figure for one journal column

return a * np.exp(-0.5 * ((lam - mu) / sigma) ** 2)

ToolPythonBeginner

Numerical integration with scipy.integrate: the area under a measured peak

ConceptPythonBeginner

The Fourier transform: asking a signal how much of each frequency it contains

ToolPythonBeginner

pandas from the ground up: a week of temperature logs

spell = 3 * np.exp(-((day - 4.6) / 1.2) ** 2) # a warm spell peaking on Friday

ToolPythonBeginner

py-pde from the ground up: the heat equation on a square plate

ToolPythonBeginner

scipy.stats from the ground up: is the difference between two samples real?