Python – Using Pandas to Work with Series & DataFrames

Pandas a popular Python library is part of the open-source PyData stack. In this 10-video Skillsoft Aspire course you will learn that Pandas represents data in a tabular format which makes it easy and intuitive to perform data manipulation cleaning and exploration. You will use Pythons DataFrame a two-dimensional size-mutable potentially heterogeneous tabular data structure with labeled axes (rows and columns). To take this course you should already be familiar with Python programming language; all code writing is in Jupyter notebooks. You will work with basic Pandas data structures Pandas Series objects representing a single column of data which can store numerical values strings Booleans and more complex data types. Learn how to use Pandas DataFrame which represents data in table form. Finally learn to append and sort series values add missing data add columns and aggregate data in a DataFrame. The closing exercise involves instantiating a Pandas Series object by using both a list and a dictionary; changing the Series index to something other than default value; and practicing sorting Series values in place.