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These 5 Python libraries turned me into a better data analyst than Excel ever could
The power of Python trumps Excel workbooks.
Use NumPy's RNG to make random arrays for quick testing of stats functions. Generate normal data and set mean/std by adding and scaling; visualize with Seaborn. Run regressions and correlations ...
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