Directory Of Projects

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

The utility simply known as make is one of the most enduring features of both Unix and other operating systems. First invented in the 1970s, make still turns up to this day as the central engine in most programming projects; it even builds the Linux kernel. In the third edition of the classic Managing Projects with GNU make, readers will learn why this utility continues to hold its top position in project build software, despite many younger competitors.The premise behind make is simple: after you change source files and want to rebuild your program or other output files, make checks timestamps to see what has changed and rebuilds just what you need, without wasting time rebuilding other files. But on top of this simple principle, make layers a rich collection of options that lets you manipulate multiple directories, build different versions of programs for different platforms, and customize your builds in other ways.This edition focuses on the GNU version of make, which has deservedly become the industry standard. GNU make contains powerful extensions that are explored in this book. It is also popular because it is free software and provides a version for almost every platform, including a version for Microsoft Windows as part of the free Cygwin project. Managing Projects with GNU make, 3rd Edition provides guidelines on meeting the needs of large, modern projects. Also added are a number of interesting advanced topics such as portability, parallelism, and use with Java.Robert Mecklenburg, author of the third edition, has used make for decades with a variety of platforms and languages. In this book he zealously lays forth how to get your builds to be as efficient as possible, reduce maintenance, avoid errors, and thoroughly understand what make is doing. Chapters on C++ and Java provide makefile entries optimized for projects in those languages. The author even includes a discussion of the makefile used to build the book.

Everyone can benefit from basic programming skills–and after you start, you just might want to go a whole lot further. Author Steven Foote taught himself to program, figuring out the best ways to overcome every obstacle. Now a professional web developer, he’ll help you follow in his footsteps. He teaches concepts you can use with any modern programming language, whether you want to program computers, smartphones, tablets, or even robots. Learning to Program will help you build a solid foundation in programming that can prepare you to achieve just about any programming goal. Whether you want to become a professional software programmer, or you want to learn how to more effectively communicate with programmers, or you are just curious about how programming works, this book is a great first step in helping to get you there. Learning to Program will help you get started even if you aren’t sure where to begin. • Learn how to simplify and automate many programming tasks • Handle different types of data in your programs • Use regular expressions to find and work with patterns • Write programs that can decide what to do, and when to do it • Use functions to write clean, well-organized code • Create programs others can easily understand and improve • Test and debug software to make it reliable • Work as part of a programming team • Learn the next steps to take to build a lifetime of programming skills

An indexed directory of current research project abstracts in toxicology and related fields.