February 2019
Beginner to intermediate
308 pages
7h 42m
English
pandas is perhaps the most ubiquitous library in Python for data analysis. Built upon the powerful NumPy library, pandas provides a fast and flexible data structure in Python for handling real-world datasets. Raw data is often presented in tabular form, shared using the .csv file format. pandas provides a simple interface for importing these .csv files into a data structure known as DataFrames that makes it extremely easy to manipulate data in Python.