Data Analysis From Scratch With Python: Step By Step Guide

Step By Step Guide and Visual Illustrations and Examples
The Book give complete instructions for manipulating, processing, cleaning,
modeling and crunching datasets in Python. This is a hands-on guide with
practical case studies of data analysis problems effectively. You will learn
pandas, NumPy, IPython, and Jupiter in the Process.
Who Should Read This?
This book is a practical introduction to data science tools in Python. It is ideal
for analyst’s beginners to Python and for Python programmers new to data
science and computer science. Instead of tough math formulas, this book
contains several graphs and images.

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© Copyright 2016 by AI Sciences LLC
All rights reserved.
First Printing, 2016

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Edited by Davies Company
Ebook Converted and Cover by Pixels Studio Publised by AI Sciences LLC
ISBN-13: 978-1721942817
ISBN-10: 1721942815
The contents of this book may not be reproduced, duplicated or transmitted without the direct written
permission of the author.
Under no circumstances will any legal responsibility or blame be held against the publisher for any
reparation, damages, or monetary loss due to the information herein, either directly or indirectly.

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Legal Notice:
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Disclaimer Notice:
Please note the information contained within this document is for educational and entertainment purposes
only. No warranties of any kind are expressed or implied. Readers acknowledge that the author is not
engaging in the rendering of legal, financial, medical or professional advice. Please consult a licensed
professional before attempting any techniques outlined in this book.
By reading this document, the reader agrees that under no circumstances is the author responsible for any
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