Introducing Markdown And Pandoc Using Markup Language And Document Converter
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Introducing Markdown and Pandoc
Discover how to write manuscripts in Markdown and translate them with Pandoc into different output formats. You’ll use Markdown to annotate text formatting information with a strong focus on semantic information: you can annotate your text with information about where chapters and sections start, but not how chapter and heading captions should be formatted. As a result, you’ll decouple the structure of a text from how it is visualized and make it easier for you to produce different kinds of output. The same text can easily be formatted as HTML, PDF, or Word documents, with various visual styles, by tools that understand the markup annotations. Finally, you’ll learn to use Pandoc, a tool for translating between different markup languages, such as LaTeX, HTML, and Markdown. This book will not describe all the functionality that Pandoc provides, but will teach you how to translate Markdown documents, how to customize your documents using templates,and how to extend Pandoc’s functionality using filters. If that is something you are interested in, Introducing Markdown and Pandoc will get you started. With this set of skills you’ll be able to write more efficiently without worrying about needless formatting and other distractions. What You Will Learn Why and how to use Markdown and Pandoc Write Markdown Use extensions available in Pandoc and Markdown Write math and code blocks Use templates and produce documents Who This Book Is For Programmers and problem solvers looking for technical documentation solutions.
Doing Data Science in R
This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.
Markdown & vous
Avec le numérique et ce qu'il peut nous offrir mais aussi ce qu'il a tendance à nous imposer, il devient nécessaire de s'arrêter un moment. Ce manuel est consacrés à l'écriture académique avec Markdown et Pandoc. À la fois plaidoyer pour l'écriture numérique ouverte et introduction à Markdown et à Pandoc, il propose une réflexion sur nos outils et méthodes d'écriture académique. Il n'en est pas pour autant limité aux seuls débutants. L'idée est de revenir aux fondamentaux et donc de ne pas essayer de reproduire coûte que coûte tout ce qui est possible avec un traitement de texte classique (dont on peut se passer). L'objectif de ce manuel est d'expliquer pourquoi il est possible de changer ses habitudes pour rédiger, structurer ses idées, produire des documents de qualité et de montrer ce qui est possible avec Markdown au travers de quelques méthodes.