ToolPythonBeginner
numpy.arange
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?
- ids = np.arange(1, n + 1)
- cell_area = ndi.sum_labels(np.ones_like(image), cells, np.arange(1, cells.max() + 1)) * px**2
- a = ndi.sum_labels(np.ones_like(image), lab, np.arange(1, k + 1)) * px**2
- ids_final = np.arange(1, cells.max() + 1)
- bins = np.arange(np.floor(both.min() / 10) * 10, both.max() + 10, 10) # 10 µm² bins, no empty ends
- largest = ndi.sum_labels(np.ones_like(image), lab, np.arange(1, k + 1)).max() * px**2
ToolPythonIntermediate
Filtering with scipy.signal: mains hum and noise out of an ECG
ToolPythonBeginner
Minimization with scipy.optimize.minimize: the shape of a seven-atom cluster
ToolPythonBeginner
Random numbers with numpy.random: ten thousand reproducible random walks
ConceptPythonBeginner
The Fourier transform: asking a signal how much of each frequency it contains
ToolPythonBeginner