DataFrame and Series are two core data structures in Pandas. DataFrame is a 2-dimensional labeled data with rows and columns. It is like a spreadsheet or SQL table. Series is a 1-dimensional labeled array. It is sort of like a more powerful version of the Python list. Understanding Series is very important, not only because it is one of the core data structures, but also because it is the building blocks of a DataFrame.

In this article, you’ll learn the most commonly used data operations with Pandas **Series **and should help you get started with Pandas. The article is structured as follows:

1. Creating a Series
2. Retrieving elements
3. Attributes (commonly used)
4. Methods (commonly used)
5. Working with Python built-in functions

#data-science #python #data-analysis #series #pandas