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In this step after importing the data and mounting it with Colab let’s have an overview of the dataset by importing a Module called pandas. 12) Pandas Tutorial 1: Pandas Basics (Reading Data Files, DataFrames, Data Selection) Pandas is one of the most popular Python libraries for Data Science and Analytics. NumPy and Pandas Tutorial – Data Analysis with Python. It was designed by Guido van Rossum. Tutorial Content. Pandas is very popular library for data science. It provides high-level data structures for effective data analysis. Use Python to solve real-world tasks. Numerical and data analysis and scientific programming developed through the packages Numpy and Scipy, which, along with the visualization package Matplotlib formed the basis for an open-source alternative to Matlab. Python is a general purpose and high-level programming language that is used for more than working with data. 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