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: Intro to Pandas
    sub title: Pragmatic AI Labs course
  name:
    name part: Deza, Alfredo
    role:
      role term: presenter.
  name:
    name part: Pragmatic AI Solutions (Firm)
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Internet videos.
  genre: Nonfiction films.
  origin info:
    place:
      place term: xx
    date issued: 2022
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (1 hr., 1 min.)) : sound, color.
  abstract: Intro to Pandas Over 1 hour of course material with practice code Quickly learn to use Pandas with examples Learn how to work with data using Pandas and NumPy. From loading and reading datasets from different sources to plotting graphs and exploring common problems in data. Pandas will allow you to perform transformations and export your data into different formats, and NumPy will boost your ability to work with numerical data. This course is meant for beginners that want to understand Pandas from the start and find more about NumPy. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Load and export data from different sources Manipulate data in datasets Apply functions and transform columns Query for specific data Perform common operations on NumPy arrays Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Introduction to Testing in Python course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
  note: Alfredo Deza, presenter.
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Numerical analysis
    topic: Data processing
  subject:
    topic: Information visualization
  subject:
    topic: Information visualization
  subject:
    topic: Numerical analysis
    topic: Data processing
  subject:
    topic: Python (Computer program language)
  classification: QA76.73.P98
  classification: 005.13/3
  identifier: 27675147VIDEOPAIML O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 220823
    record change date: 20260123213403.1
    record identifier: in00004672062
    language of cataloging:
      language term: eng