Data Wrangling using Pandas

Data wrangling is the process of transforming, manipulating, and preparing a dataset from disparate data sources. Data munging and data manipulation are other terms that are used to describe the same process. In this chapter, we will look at Pandas, the oldest Python data analytics library. My sincere opinion is that Pandas library played a significant role in the adoption of Python language for data analysis and manipulation tasks. In this chapter, we will look at Pandas 2.0, a major release of Pandas, exploring its data structures, handling missing values, performing data transformations, combining multiple data objects, and other relevant topics.