Category: Software-Technology
Books Software-Technology Visualization
Resources to Explore: Visualizations
Information Visualization: Perception for Design by Colin Ware Visual Thinking for Design by Colin Ware
Software-Technology Visualization
Mastering Gephi Network Visualization: Produce advanced network graphs in Gephi and gain valuable insights into your network datasets
by Ken ChervenCopyright (c) 2015. I fooled around with Gephi at work some months ago. It’s one of the leading options that handles Social Network Analysis, a field that is taking off due to seemingly ubiquitous datasets due to academic publishing and social media. This book teaches you the basics of what Gephi has to offer vis-a-vis this field. I found most interesting the idea of a temporally-based social network – i.e., one that grows…
Software-Technology
Advanced PHP Programming: A practical guide to developing large-scale Web sites and applications with PHP 5
by George Scholassnagle(c) Copyright 2004 This book applies both to PHP 5 and PHP 7 (no PHP 6 exists) fairly well because of the large amount of overlap between the versions. This book is meant to build up experts at PHP development. It handles everything ranging from cookies, to APIs, to extending PHP via C. At 650-pages, it’s a heavy read. There are lots of code examples as well as implementations of features (e.g., user…
Software-Technology
Ry’s Git Tutorial
by Ryan HodsoneBook (free) This book is a free purchase from Amazon. (You can’t beat that price!) It previews the Git utilities now popular in the field of revision/change management software. It can keep track of your old files in a programming project and coordinate among multiple developers (therein facilitating distributed development). I use Git at work. I’ve seen teammates more advanced at Git interrogate a Git database to extract useful information, restore backups, and…
Software-Technology
Advanced R
by Hadley Wickhamhttp://adv-r.had.co.nz/ Hadley brings an in-depth analysis of the R statistical language in this book and opens up more questions as it enlightens the reader to possibilities with R. This book is only for the nerds of the nerds as it explores the R programming language, a language used mainly by non-programmers for statistical analysis. As such, the readership for this book is presumably small. Nonetheless, it fills a need as it supplies R…
Books Software-Technology
Resources to Explore: Software
Ry’s Git Tutorial by Ryan Hodson Code Complete: A Practical Handbook of Software Construction by Steve McConnell Galileo, Courtier: The Practice of Science in the Culture of Absolutism by Mario Biagioli
Biostatistics Books Software-Technology
Resources to Explore: Data Science
Data Science by John D. Kelleher and Brendan Tierney Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies by John D. Kelleher, Brian MacNamee and Aoife D’Arcy
Software-Technology
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
by Paul Teetor Copyright 2011. I picked up this book with the intention of learning intermediate R. I was past the novice stage of learning the language, but I was still short of learning Advanced R. This book gave me the confidence to read R code more quickly and to understand more nuance in this (fun) language. This book is written by a quant (Wall Street data analyst) who has Masters degrees in both statistics…