rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: CSS3 and SVG with Perplexity
  name:
    name part: Campesato, Oswald
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  type of resource: text
  genre: dictionary
  origin info:
    place:
      place term: vau
    date issued: 2024
    copyright date: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (252 p.).
  abstract: This book provides an introduction to generative AI and how to use Perplexity to generate graphics code using various combinations of HTML, CSS3, and SVG. It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like Perplexity to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource.
  table of contents: Frontmatter -- Contents -- Preface -- Chapter 1: The Generative AI Landscape -- Chapter 2: Prompt Engineering -- Chapter 3: Introduction to CSS3 -- Chapter 4: CSS3 3D Animation -- Chapter 5: CSS3 and Perplexity -- Chapter 6: Introduction to SVG -- Chapter 7: SVG and Perplexity -- Index
  target audience: specialized
  note: Oswald Campesato.
  note: In English.
  subject:
    topic: Web site development
  subject:
    topic: COMPUTERS / Intelligence (AI) & Semantics
  subject:
    topic: Generative AI, Perplexity, CSS3, SVG, Web Development, Prompt Engineering, HTML5, 3D Animation, UX, Web Graphics, AI in Web Design, Gradients.
  classification: TK5105.888 .C36 2024
  classification: 005.72
  related item:
    title info:
      title: MLI Generative AI Series
  identifier: 9781501520914 (electronic bk.)
  identifier: 1501520911
  location:
    physical location: POD
  record info:
    record content source: DEGRU
    record creation date: 241120
    record change date: 20250810211309.5
    record identifier: in00005658341
    language of cataloging:
      language term: eng