Pandas Tutorial: How to Get Started With Pandas

Hi everyone, welcome back. Pandas is a library for the Python programming language and is commonly used for data science purposes. Pandas can refer to both “Panel Data” and “Python Data Analysis”. Pandas is used specifically for working with data sets and provides various functions and support regarding data.

Pandas makes many data-related tasks easy for developers and data scientists. Tasks include data cleansing, data analytics, statistical analytics, data visualization, and much more. Now let’s look into how you can get started with Pandas.

Installation

In order to work with Pandas, we will need to have Python and PIP installed. Python can be downloaded and installed here. PIP can be downloaded and installed here. With both Python and PIP installed, we can then install Pandas through the command line. Open up a command prompt or terminal and enter:

pip install pandas

Alternatively, Pandas can be downloaded through Python distributions such as Anaconda or Spyder.

Importing

Now we want to import Pandas into our project to use. We can do this the same way we handle other imports by adding this line in our Python file:

import pandas