Jupyter Interface Preview

Jupyter Preview The Jupyter environment is particularly useful for:
  1. Data analysis and visualization projects using Python libraries (Pandas, Matplotlib, etc.)
  2. Machine learning and deep learning experiments
  3. Interactive code execution with immediate feedback
  4. Creating documented workflows combining code and markdown
  5. Educational content with explanations and executable examples

Access the Interface

  1. After starting a Jupyter-enabled lab, click the “Notebook” tab at the top of the page
  2. Wait for the Jupyter interface to fully load
  3. You’ll see the familiar Jupyter Notebook interface in your browser
Notebook Tabs

Interface Layout

The Jupyter interface consists of several key components:
  1. Main Work Area: Main Work Area
    • Notebook cells (code and markdown)
    • Output display
    • Toolbar with common actions
  2. Top Menu Bar: Top Menu Bar
    • File operations
    • Cell manipulation
    • Kernel controls

Working with Notebooks

Cell Types

  1. Code Cells:
    • Write and execute Python code
    • View output directly below the cell
    • Use Shift+Enter to execute
    Code Cell
  2. Markdown Cells:
    • Document your work
    • Add explanations and notes
    • Support mathematical equations using LaTeX

Common Operations

  1. Create new cells:
    • Click the + button in the toolbar
    • Use keyboard shortcut B (below) or A (above)
  2. Run cells:
    • Click the play button
    • Use Shift+Enter
    • Use Cell menu options
  3. Change cell type:
    • Use the dropdown in the toolbar
    • Keyboard shortcuts: Y (code), M (markdown)

Usage Scenarios

Frequently Asked Questions