The Internet for Dummies

The Internet for Dummies

Author: John R. Levine

Publisher: For Dummies

Published: 1995

Total Pages: 436

ISBN-13: 9781568846200

DOWNLOAD EBOOK

Get in and get right out with just the information you need -- without reading tons of extra material! Book jacket.


An Inquiry Into Modes of Existence

An Inquiry Into Modes of Existence

Author: Bruno Latour

Publisher: Harvard University Press

Published: 2013-08-19

Total Pages: 519

ISBN-13: 0674728556

DOWNLOAD EBOOK

In a new approach to philosophical anthropology, Bruno Latour offers answers to questions raised in We Have Never Been Modern: If not modern, what have we been, and what values should we inherit? An Inquiry into Modes of Existence offers a new basis for diplomatic encounters with other societies at a time of ecological crisis.


Efficient R Programming

Efficient R Programming

Author: Colin Gillespie

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-08

Total Pages: 220

ISBN-13: 1491950757

DOWNLOAD EBOOK

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming. Get advice for setting up an R programming environment Explore general programming concepts and R coding techniques Understand the ingredients of an efficient R workflow Learn how to efficiently read and write data in R Dive into data carpentry—the vital skill for cleaning raw data Optimize your code with profiling, standard tricks, and other methods Determine your hardware capabilities for handling R computation Maximize the benefits of collaborative R programming Accelerate your transition from R hacker to R programmer