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numpy.cos

Python. Called in 7 tutorials; each line below leads to its place in the tutorial.

ToolPythonBeginner

Counting cells with scipy.ndimage: how many are there, and how large?

c2 = c1 + 0.85 * (r1 + r2) * np.array([np.cos(angle), np.sin(angle)])

ToolPythonBeginner

Eigenvalues with numpy.linalg: normal modes of coupled oscillators

ToolPythonIntermediate

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

hum = 0.30 * np.cos(2 * np.pi * 50 * t + 0.7) # the mains phase at the start is arbitrary

ToolPythonBeginner

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

I, err, info = quad(lambda theta: 1 / np.sqrt(np.cos(theta) - np.cos(theta0)), 0, theta0, full_output=1)

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

ToolPythonIntermediate

solve_ivp from the ground up: the pendulum beyond small angles

return 0.5 * L**2 * omega**2 + g * L * (1 - np.cos(theta))