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Data Analysis with Pandas and Python - Boris Paskhaver

Data Analysis with Pandas and Python

By: Boris Paskhaver

eText | 18 October 2017 | Edition Number 1

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Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal datasets—analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! Hence, we call it "Excel on steroids"!

Over the course of more than 19 hours, we will go step-by-step through Pandas, from installation to visualization! We will cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We will dive into tons of different datasets, short and long, broken, and pristine, to demonstrate the incredible versatility and efficiency of this package.

This course is bundled with dozens of datasets for you to use and improve your skills. Dive right in and follow along with the lessons to see how easy it is to get started with Pandas!

By the end of this course, you will be able to gain deeper insights into your data that would be impractical in Excel but is now possible with Pandas.

All resources for this course are available at https://github.com/PacktPublishing/Data-Analysis-with-Pandas-and-Python

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