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Practical Data Wrangling

You're reading from   Practical Data Wrangling Expert techniques for transforming your raw data into a valuable source for analytics

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787286139
Length 204 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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 Visochek Visochek
Author Profile Icon Visochek
Visochek
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Toc

Table of Contents (16) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Programming with Data FREE CHAPTER 2. Introduction to Programming in Python 3. Reading, Exploring, and Modifying Data - Part I 4. Reading, Exploring, and Modifying Data - Part II 5. Manipulating Text Data - An Introduction to Regular Expressions 6. Cleaning Numerical Data - An Introduction to R and RStudio 7. Simplifying Data Manipulation with dplyr 8. Getting Data from the Web 9. Working with Large Datasets

A programmer's resources


The art of programming is the art of constantly learning. Every new framework, paradigm, and programming challenge can present a need to learn something new. While there's no one formula for how to keep up to date with trends and tackle new problems, two resources in particular will be instrumental to being an effective programmer.

Documentation

Whenever starting out with a new language or package, the first thing to look for is the documentation. Good documentation usually contains information on how to get started, examples and use cases, and most importantly, references that will tell you how to use the language/package/tool. You can often find the documentation you are looking for by searching <name of language or package> documentation. Documentation is often the first line of defense in learning how to do what you want with a certain programming tool. The documentation for Python, for example, can be found at https://docs.Python.org.

Online forums and mailing...

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