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Working with Numpy Arrays
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NumPy arrays which are the same size use element-wise operations when added or subtracted
NumPy uses something called broadcasting for arrays which are not the same size to allow arrays to be added or multiplied.
NumPy has extensive documentation online - you should check this out if you need to do a computation.
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Using pandas for data analysis
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Pandas stores data in a structure called a dataframe
Pandas can read data that has lots of different data types.
You can easily get statistics from a dataframe by using methods like df.describe()
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Using scipy for data fitting
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Recasting your data to numpy arrays lets you utilize features like broadcasting, which can be helpful in evaluating functions.
If the initial fit model does not match the data well, use the bounds argument of fit_curve to guess a range of values for the fit parameters.
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