Introduction To Pandas In Python & Hands-On Exercise (Data Analysis Using Pandas)

:panda_face: Pandas is a software library written for the Python programming language for data manipulation and analysis.

It provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive. It aims  to be the fundamental high-level building block for doing practical, real-world data analysis in Python.

Pandas in Python is built on top of NumPy and is intended to integrate well within a scientific computing environment with many other 3rd party libraries.The most time-consuming part of a data science project is data cleaning and preparation. However, there are many powerful tools to expedite this process. One of them is Pandas which is a widely used data analysis library for Python.

Read the blog at to know more about Pandas and how we can perform data analysis using this library.

To know more about these NumPy and Pandas covered in our Day 7 session check my blog at:

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About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

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