TeX by Topic


Book Description

This is a reference work for the TeX typesetting language. It is valuable for people who want to write LaTeX macros and other customizations of TeX.




A Beginner’s Book of TEX


Book Description

The last two decades have witnessed a revolution in the realm of typography, with the virtual disappearance of hot-lead typesetting in favor of the so-called digital typesetting. The principle behind the new technology is simple: imagine a very fine mesh superimposed on a sheet of paper. Digital typesetting consists in darkening the appropriate pixels (tiny squares) of this mesh, in patterns corresponding to each character and symbol of the text being set. The actual darkening is done by some printing device, say a laser printer or phototypesetter, which must be told exactly where the ink should go. Since the mesh is very fine-the dashes surrounding this sentence are some six pixels thick, and more than 200 pixels long-the printer can only be controlled by a computer program, which takes a "high-level" description of the page in terms of text, fonts, and formatting commands, and digests all of that into "low-level" commands for the printer. TEX is such a program, created by Donald E. Knuth, a computer scientist at Stanford University.




TEX by Topic


Book Description

For all TeX users who want to learn to program complicated macros themselves, TeX By Topic is an invaluable resource. The book is packed with highly original, practical, and useful ideas along with detailed explanations of the mechanisms underlying each TeX macro. Includes a thorough cross reference system.




TEX for the Impatient


Book Description

Contains a list of the most common problems that users encounter and their solutions. Organized by function and thoroughly indexed. Includes a complete description of control sequences. Annotation copyrighted by Book News, Inc., Portland, OR




The TEXbook


Book Description




Tex


Book Description

From the best-selling author of The Outsiders, S.E. Hinton's Tex explores friendships, conflict, depression, self-destructive behavior, and truth and acceptance. This edition includes a new and exclusive Author's Note. Easygoing and reckless, Tex, likes everyone and everything, especially his horse, Negrito, and Johnny Collins' blue-eyed sister, Jamie. Life with his older brother, Mason, would be just about perfect if only he would stop complaining about Pop, who hasn't been home in five months. While Mason worries about paying the bills and getting a basketball scholarship--his ticket out of Oklahoma--Tex just seems to attract trouble. When everything seems to be falling apart, how can Tex find a way to keep things together?




TeX Unbound


Book Description

This text explains how to integrate Tex - the original version of LaTeX - with other commercially available software and hardware, solve user-problems and set-up software links using LaTex for Internet communication.




A TEX Primer for Scientists


Book Description

This concise, straightforward guide provides an all-purpose introduction to writing and preparing papers, reports, articles, and books with TEX. Scientists, engineers, mathematicians, and technical staff will discover how easy it is to clearly and quickly perform all the necessary tasks required to prepare equations and text. The first half of the book is devoted to explaining how to typeset equations, while the remainder of the book addresses advanced topics and more general text processing and page formatting topics. A TEX Primer for Scientists will save you time and reduce frustration while increasing the flexibility, quality, and efficiency of your documents.




Text Mining with R


Book Description

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.