
Take a deep dive into functions in Python. This post covers: basics, nested functions, scope, *args & **kwargs, lambdas and anonymous functions and finishes on using functions within a Pandas DataFrame.
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Data science involves using a number of packages in conjuction with one another - in this tutorial we dive into a well known example called the "the randon walk" in which we using a number of core data science packages.
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In this post we look in more depth at the python package Pandas; namely, looping through dataframes and adding columns.
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