Pandas
Explore the pandas library to handle data analysis tasks using DataFrames and Series. Learn to perform group-by operations, merge datasets, and create pivot tables—essential skills for any data scientist working with structured data.
Pandas
Pandas is a Python library that is intended for data science use cases and is used extensively in the field. It provides many useful functionalities to make the day-to-day job of a Data Scientist very easy.
In this lesson, we’ll look into several Jupyter Notebooks (used for writing and running the code). We’ll also work with the most extensively used operations in the industry.
Pandas data structures
Pandas have data structures that allow us to store and process the data. It also provides several functions and methods to retrieve data from these structures and analyze it.
DataFrames
Pandas DataFrames are two-dimensional tabular data structures that allow us to store and analyze structured datasets. They also include index labels for each row. In the ...