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Build Your Own X From Scratch Books: Redis, Database, Compiler

Learn the new ES6 syntax quickly.

Learn how to build an admin dashboard and marketing homepage with Bootstrap 4. Get a Free Step by Step Book and Get Started Today!

The Text Encoding Initiative (TEI) Guidelines have long been regarded as the de facto standard for the preparation of digital textual resources in the scholarly research community. For the beginner, they offer a daunting range of possibilities, reflecting the huge range of potential applications for text encoding, from traditional scholarly editions, to language corpora, historical lexicons, digital archives and beyond. Drawing on many examples of TEI-encoded text from a variety of research domains, this simple and straightforward book is intended to help the beginner make their own choices from the full range of TEI options. It explains the XML technology used by the TEI in language accessible to the non-technical reader and provides a guided tour of the many parts of the TEI universe, and how it may be customized to suit an individual project’s needs. This work has been produced with the support of Labex Hastec.

Getting started with Xamarin.Forms, Why Xamarin Forms and When to use Xamarin Forms, Xamarin Forms Layouts, Xamarin Relative Layout, Navigation in Xamarin.Forms, Xamarin.Forms Page, Xamarin.Forms Cells, Xamarin.Forms Views, Using ListViews, Display Alert, DependencyService and Caching

Getting started with Ruby Language, Casting (type conversion), Operators, Variable Scope and Visibility, Environment Variables, Constants, Special Constants in Ruby, Comments, Arrays, Multidimensional Arrays, Strings, DateTime, Time, Numbers, Symbols, Comparable and Control Flow

Getting started with GNU/Linux, Detecting Linux distribution name and version, Getting information on a running Linux kernel, Shell, Check Disk Space, Getting System Information, ls command, File Compression with 'tar' command, Services, Managing Services, Modifying Users and LAMP Stack

Getting started with Hibernate, Fetching in Hibernate, Hibernate Entity Relationships using Annotations, HQL, Native SQL Queries, Mapping associations, Criterias and Projections, Custom Naming Strategy, Caching, Association Mappings between Entities and Lazy Loading vs Eager Loading

Getting started with Entity Framework, Code First Conventions, Code First DataAnnotations, Entity Framework Code First, Entity framework Code First Migrations, Inheritance with EntityFramework (Code First), Code First - Fluent API, Database first model generation and Complex Types

‎Professional & Technical · 2021

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org).

A guide to creating websites with R Markdown and the R package blogdown.

An applied textbook on generalized linear models and multilevel models for advanced undergraduates, featuring many real, unique data sets. It is intended to be accessible to undergraduate students who have successfully completed a regression course. Even though there is no mathematical prerequisite, we still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. We believe strongly in case studies featuring real data and real research questions; thus, most of the data in the textbook arises from collaborative research conducted by the authors and their students, or from student projects. Our goal is that, after working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling.

The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.

This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing informative data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.

A ggplot2 Tutorial

This workbook is a basic introduction to data management with R and SQL.

The platform bookdown.org is provided by RStudio for authors to publish books online for free. The bookdown package is an open-source R package that facilitates writing books and long-form articles/reports with R Markdown.