- numpy - matplotlib
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Python, data science and data apps in the browser

Check out awesome-pyscript.org for inspiration

Let's plot random numbers using MATPLOTLIB

pyscript.write('loading-indicator', '') import matplotlib.pyplot as plt import numpy as np x = np.random.randn(1000) y = np.random.randn(1000) plt.style.use('dark_background') fig, ax = plt.subplots() ax.scatter(x, y, c="orange") pyscript.write('plot', fig)