Python Data Analysis

Ebook

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.

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Python For Data Analysis


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Author by : Wes McKinney
Languange Used : en
Release Date : 2017-09-25
Publisher by : "O'Reilly Media, Inc."

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated fo

Python For Data Analysis


Download Now Read Online

Author by : Wes McKinney
Languange Used : en
Release Date : 2017-09-25
Publisher by : "O'Reilly Media, Inc."

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated fo

Python For Data Analysis


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Author by : Wes McKinney
Languange Used : en
Release Date : 2012-10-08
Publisher by : "O'Reilly Media, Inc."

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunc

Getting Started With Python Data Analysis


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Author by : Phuong Vo.T.H
Languange Used : en
Release Date : 2015-11-04
Publisher by : Packt Publishing Ltd

Learn to use powerful Python libraries for effective data processing and analysis About This Book Learn the ba

Pandas For Everyone


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Author by : Daniel Y. Chen
Languange Used : en
Release Date : 2017-01-10
Publisher by : Addison-Wesley Professional

This tutorial teaches everything you need to get started with Python programming for the fast-growing field of

Mastering Python Data Analysis


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Author by : Magnus Vilhelm Persson
Languange Used : en
Release Date : 2016-06-27
Publisher by : Packt Publishing Ltd

Become an expert at using Python for advanced statistical analysis of data using real-world examples About Thi

Python Data Analysis Cookbook


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Author by : Ivan Idris
Languange Used : en
Release Date : 2016-07-22
Publisher by : Packt Publishing Ltd

Over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps

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