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Data Analysis with Python

You're reading from   Data Analysis with Python A Modern Approach

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950069
Length 490 pages
Edition 1st Edition
Languages
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Author (1):
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David Taieb David Taieb
Author Profile Icon David Taieb
David Taieb
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Table of Contents (14) Chapters Close

Preface 1. Programming and Data Science – A New Toolset FREE CHAPTER 2. Python and Jupyter Notebooks to Power your Data Analysis 3. Accelerate your Data Analysis with Python Libraries 4. Publish your Data Analysis to the Web - the PixieApp Tool 5. Python and PixieDust Best Practices and Advanced Concepts 6. Analytics Study: AI and Image Recognition with TensorFlow 7. Analytics Study: NLP and Big Data with Twitter Sentiment Analysis 8. Analytics Study: Prediction - Financial Time Series Analysis and Forecasting 9. Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis 10. The Future of Data Analysis and Where to Develop your Skills A. PixieApp Quick-Reference Other Books You May Enjoy Index

Preface

 

"Developers are the most-important, most-valuable constituency in business today, regardless of industry."

 
 --Stephen O'Grady, author of The New Kingmakers

First, let me thank you and congratulate you, the reader, for the decision to invest some of your valuable time to read this book. Throughout the chapters to come, I will take you on a journey of discovering or even re-discovering data science from the perspective of a developer and will develop the theme of this book which is that data science is a team sport and that if it is to be successful, developers will have to play a bigger role in the near future and better collaborate with data scientists. However, to make data science more inclusive to people of all backgrounds and trades, we first need to democratize it by making data simple and accessible—this is in essence what this book is about.

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