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: Interactive data science projects with PyTorch, Shiny, and Pandas
  name:
    name part: Erez, Ron
    role:
      role term: instructor.
  name:
    name part: Safari, an O'Reilly Media Company
  name:
    name part: Packt Publishing
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Nonfiction films.
  genre: Internet videos.
  genre: Films de formation.
  genre: Films autres que de fiction.
  genre: Vidéos sur Internet.
  origin info:
    place:
      place term: enk
    date issued: 2025
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (04 hr., 05 min.)) : sound, color.
  abstract: In this 4-hour course, you will learn to create interactive, data-driven applications by integrating Shiny with Python and PyTorch. The course covers building dynamic data dashboards, visualizing data, and implementing machine learning models in Shiny apps for powerful, interactive projects. What I will be able to do after this course Build interactive data dashboards using Shiny and Python Visualize data dynamically with charts, histograms, and pie charts Implement machine learning models with PyTorch in Shiny apps Work with PyTorch tensors for indexing, masking, and broadcasting Upload and visualize CSV data interactively in Shiny Course Instructor(s) Dr. Ron Erez has over 30 years of programming experience and is an accomplished educator in mathematics, computer science, and English literature. He brings his passion for problem-solving and creativity into his courses, aiming to make complex concepts accessible to all learners. Who is it for? This course is ideal for data scientists, analysts, and developers who want to expand their knowledge of Python tools for data science. It's suitable for both beginners and intermediate learners interested in integrating PyTorch for machine learning with Shiny for building interactive web apps and dashboards.
  note: Ron Erez, instructor.
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Computer programming
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Programmation (Informatique)
  subject:
    topic: computer programming
  classification: QA76.73.P98
  classification: 005.13/3
  identifier: 9781806668953
  identifier: 1806668955
  identifier: 9781806668953 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 251124
    record change date: 20260129211551.8
    record identifier: in00005677263
    language of cataloging:
      language term: eng