Pandas is one of the most powerful Data Science libraries in python. Almost every Data Scientist working in python uses the pandas library. The popularity of pandas is due to its inbuilt data structure, i.e., the DataFrame. Pandas DataFrame is a modern and efficient way to store data in tabular format. Pandas DataFrame also has many integrated methods that perform many operations to make our task as data scientists easy. DataFrame provides methods for sorting data, aggregating data, and many other operations. In fact, we can also draw a Data Frame with ease using the plot () method.
Python is a great programming language; it is used in many fields like Web Development, Machine Learning, Data Science, Computer Vision, etc. In python, we can easily write programs that output data into the console. But writing data to the console is not the best thing when we required that data for further processing.