Your entry into the world of Data Science begins with Pandas. You can regard it as an open source tool for data analysis. It is fast, flexible and powerful library in the Python language. Pandas allow cleaning, manipulating and exploring data in datasets.
The first thing to do before starting to work with Pandas is downloading Anaconda into your system. After installing it, launch Jupyter Notebook. Now, you are ready to put Pandas into action.
As an essential prerequisite, knowing Python is essential.
So, let us start unfolding concepts behind Pandas. To do so, first create a new Jupyter Notebook file. Name it as "PandasBasics.ipynb".
Load Pandas
It is the first thing to do for working with the package. Import Pandas to load it in your system. "pd" is the alias for the library.
So, type in a cell, usually to top one:
import pandas as pd
When you run the cell, it will return nothing. Meaning, the library has successfully loaded. Jupyter Notebook will throw the errors, if there are any.
Data Structures in Pandas
It means the arrangement of data the Pandas library can handle.
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