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252252![ ] ( fig/gauss_curve_noisy.png ) {alt='Gaussian curve plot, with random noise added'}
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254+ ::::::::::::::::::::::::::::::::::::::::: callout
255+
256+ ## Matplotlib in Jupyter notebooks
257+
258+ By default, a Jupyter notebook evaluates and displays the final step in a cell. In the
259+ case of the 'matplotlib' library's ` plot(...) ` function, this means that it automatically
260+ displays a plot without requiring the ` show() ` function. However, since this function is
261+ required in other scenarios (e.g. a standalone python script), the course notes will include
262+ it each time it is required.
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264+ ::::::::::::::::::::::::::::::::::::::::::::::::::
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254266To identify any signal in the data we can use the standard deviation as an estimate of the noise around the mean value of the data.
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256268``` python
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