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Research fuels innovation—and with this focused guide to Microsoft Word, you can help increase your team’s collaborative power and effectiveness, and bring new research to life. Writing proposals, reports, journal articles, theses, and other technical documents as a team poses unique challenges, not the least of which is consistent presentation and voice. You must also manage the formatting and accuracy of figures, equations, and citations, and comply with the style rules of external publications. In this book you’ll learn from the authors’ extensive experience managing the authoring and publication of technical content, and gain specific practices and templates you can apply right away. Focuses on the unique challenges of writing and producing documents in an academic or commercial R&D setting Demonstrates how to use Microsoft Word to increase the quality of collaborative document preparation—including formatting, editing, citations management, commenting, and version control Includes downloadable templates that help automate creation of scientific documents Offers best-practices guidance for writing in teams and writing in the scientific genre
Scientific WorkPlace and Scientific Word make writing, sharing, and doing mathematics easier that you ever imagined possible. You compose and edit your documents directly on the screen without being forced to think in a programming language. This book is organised by tasks, giving step-by-step instructions for completing both simple and more advanced user tasks.
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Classic Books Library presents this brand new edition of “The Federalist Papers”, a collection of separate essays and articles compiled in 1788 by Alexander Hamilton. Following the United States Declaration of Independence in 1776, the governing doctrines and policies of the States lacked cohesion. “The Federalist”, as it was previously known, was constructed by American statesman Alexander Hamilton, and was intended to catalyse the ratification of the United States Constitution. Hamilton recruited fellow statesmen James Madison Jr., and John Jay to write papers for the compendium, and the three are known as some of the Founding Fathers of the United States. Alexander Hamilton (c. 1755–1804) was an American lawyer, journalist and highly influential government official. He also served as a Senior Officer in the Army between 1799-1800 and founded the Federalist Party, the system that governed the nation’s finances. His contributions to the Constitution and leadership made a significant and lasting impact on the early development of the nation of the United States.