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4.0 Pandas Intro

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If you are coding in python and you come across some type of data, in our case NBA stats, you would be hard pressed to find a better alternative for wrangling, munging and analyzing the data than with pandas. The best part is that it’s open source and free to use.
Essentially, Pandas takes data (like a CSV file or SQL database query output) and creates Python objects with rows and columns (called a dataframe) that looks very similar to a table you’d see in excel. It’s easy to work with and has a lot of methods baked in that make it super useful.
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#Pandas #Python #NBA #DataScience #NBAanalytics
Essentially, Pandas takes data (like a CSV file or SQL database query output) and creates Python objects with rows and columns (called a dataframe) that looks very similar to a table you’d see in excel. It’s easy to work with and has a lot of methods baked in that make it super useful.
Project Video 18 / 64
Resources:
Helpful links:
Find me:
#Pandas #Python #NBA #DataScience #NBAanalytics
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