In this article, you’ll learn the most commonly used data operations with Pandas Series and should help you get started with Pandas

**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:

- Creating a Series
- Retrieving elements
- Attributes (commonly used)
- Methods (commonly used)
- Working with Python built-in functions

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