Zero to Data 8
  • Zero to Data 8
  • LICENSE
  • connectors_modules
  • The datascience Package
  • The Data 8 Pedagogy Guide
  • The Data 8 Textbook
  • Links
  • authoring
    • Authoring Notebooks: Start to Finish
    • Authoring Notebooks
    • Minor Changes to existing Otterized Notebooks
  • cc-adoption
    • Community College(and smaller institutions) Adoption
  • grading
    • Grading with GradeScope
    • Grading Otterized Notebooks
    • Grading Locally
    • Otter Service Standalone
  • jupyter
    • Distributing Notebooks
    • Jupyter Notebook Assignments
    • Jupyter Notebook Assignments
    • Creating Data 8 Assignments
  • labs
    • Worksheets and Discussions
    • Lab Sections
    • Tutor Sessions and Office Hours
  • notebooks-platforms
    • Data 8 Notebooks in Various Forms
  • staff
    • Data 8 Course Staff Structure
    • Roles and Responsibilities
  • syllabus
    • Distributing Notebooks
    • Inspiration
    • Syllabus & Lectures
    • Slides & Lecture Videos
    • Course structure
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  1. jupyter

Jupyter Notebook Assignments

PreviousDistributing NotebooksNextJupyter Notebook Assignments

Last updated 4 years ago

"The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more."

In Data 8, teaching and student collaboration on the projects is largely carried out with Jupyter Notebooks, which allows one to combine narrative and computational content in the same document. Jupyter Notebooks are runnable, meaning that students can edit them, interact with them, and generally explore with them live on the DataHub. They allow for interactive visualizations and immediate feedback, which are essential in the Data 8 teaching philosophy.

-Project Jupyter