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Practical Data Science Cookbook, Second Edition

You're reading from Practical Data Science Cookbook, Second Edition Data pre-processing, analysis and visualization using R and Python

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787129627

Length 434 pages

Edition 2nd Edition

Languages

Python

Concepts

Data Analysis

Authors (5):

Anthony Ojeda

Prabhanjan Narayanachar Tattar

ABHIJIT DASGUPTA

Sean P Murphy

Bhushan Purushottam Joshi

+1 more

View More author details

Table of Contents (12) Chapters

Preface

1. Preparing Your Data Science Environment FREE CHAPTER

2. Driving Visual Analysis with Automobile Data with R

3. Creating Application-Oriented Analyses Using Tax Data and Python

4. Modeling Stock Market Data

5. Visually Exploring Employment Data

6. Driving Visual Analyses with Automobile Data

7. Working with Social Graphs

8. Recommending Movies at Scale (Python)

9. Harvesting and Geolocating Twitter Data (Python)

10. Forecasting New Zealand Overseas Visitors

11. German Credit Data Analysis

Creating a Twitter application

Twitter is the ubiquitous microblogging social media platform with 253 million active members as of 2014. Fortunately for us, Twitter makes the service's data more open and available to third parties than just about any other social media site of similar size and standing in the tech community. Additionally, Twitter offers a rich and user-friendly RESTful API that we will make use of extensively. This recipe will show you how to create a new Twitter application, which is a required step to access Twitter data programmatically.

Getting ready

Make sure that you have a web browser installed, and open up a new browser tab or window.

How to do it...

The following steps will walk you through the creation of a new Twitter application:

Note

Note that Twitter does like to update its user interface (UI) frequently and these steps, or the web-based forms, might change accordingly

First, make sure that you have created a Twitter account. If you have not created one, go to http...

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Authors (5)

Purushottam Joshi

Purushottam Joshi

Bhushan Purushottam Joshi is a teacher of computer science and has around 11 years of experience in teaching. He started his career as a programmer in a software firm but found true joy in teaching. He is a teacher by choice and not by chance. He teaches computer science courses such as MCA, MSc IT, BSc IT, and BSc CS at various colleges in Mumbai. He is a master at presenting technical as well as conceptual subjects in the most simplified manner. He has exemplary skills in relating daily life examples to technical concepts, which facilitates understanding of the subject matter. He enjoys teaching technical as well as conceptual subjects such as web design, Java, C#, C++, operating systems, computer networks, data structures, and ethical hacking. He is quite popular and appreciated among his students for his able guidance in their project work

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Tattar

Tattar

Prabhanjan Narayanachar Tattar is a lead statistician and manager at the Global Data Insights & Analytics division of Ford Motor Company, Chennai. He received the IBS(IR)-GK Shukla Young Biometrician Award (2005) and Dr. U.S. Nair Award for Young Statistician (2007). He held SRF of CSIR-UGC during his PhD. He has authored books such as Statistical Application Development with R and Python, 2nd Edition, Packt; Practical Data Science Cookbook, 2nd Edition, Packt; and A Course in Statistics with R, Wiley. He has created many R packages.

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Anthony Ojeda

Anthony Ojeda

Tony Ojeda is an accomplished data scientist and entrepreneur, with expertise in business process optimization and over a decade of experience creating and implementing innovative data products and solutions. He has a master's degree in finance from Florida International University and an MBA with a focus on strategy and entrepreneurship from DePaul University. He is the founder of District Data Labs, is a cofounder of Data Community DC, and is actively involved in promoting data science education through both organizations.

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ABHIJIT DASGUPTA

ABHIJIT DASGUPTA

<p>Abhijit Dasgupta is a data consultant working in the greater DC-Maryland-Virginia area, with several years of experience in biomedical consulting, business analytics, bioinformatics, and bioengineering consulting. He has a PhD in biostatistics from the University of Washington and over 40 collaborative peer-reviewed manuscripts, with strong interests in bridging the statistics/machine-learning divide. He is always on the lookout for interesting and challenging projects, and is an enthusiastic speaker and discussant on new and better ways to look at and analyze data. He is a member of Data Community DC and a founding member and co-organizer of Statistical Programming DC (formerly R Users DC)</p>

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Sean P Murphy

Sean P Murphy

See other products by Sean P Murphy

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