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EARTH DATA ANALYTICS ONLINE CERTIFICATE

Enroll now! Learn more.

    
    
 1. Home
    /
 2. Courses /
 3. Intro to earth data science /
 4. Open reproducible science /
 5. Jupyter python /
 6. Code and Markdown Cells in Jupyter Notebook

INTRO TO EARTH DATA SCIENCE TEXTBOOK

 * Units
     
     
   * 1. INTRODUCTION TO OPEN REPRODUCIBLE SCIENCE WORKFLOWS
        
        
      * Chapter 1 Open reproducible science workflows
           
         * - About Open Science
         * - Open Science Tools
         * - Project Management Best Practices
     
        
      * Chapter 2 Use bash to manipulate files
           
         * - Introduction to Bash
         * - Bash Commands
     
        
      * Chapter 3 Jupyter for python
           
         * - Intro to Jupyter
         * - Jupyter Notebook For Python
         * - Code and Markdown Cells
         * - Manage Directories Using Dashboard
         * - Manage Jupyter Notebooks
         * - Jupyter Notebook Shortcuts
   
     
     
     
   * SECTION 2 FILE FORMATS FOR EARTH DATA SCIENCE
     
      * Chapter 4: Text File Formats
      * Chapter 5: Spatial Data Formats
   
     
     
   * SECTION 3 GIT AND GITHUB
     
      * Chapter 7: Git/GitHub For Version Control
      * Chapter 8: GitHub for Collaboration
   
     
     
   * SECTION 4 PYTHON CODE FUNDAMENTALS
     
      * Chapter 10: Get Started with Python Variables and Lists
      * Chapter 11: Use Python Packages
      * Chapter 12: Files, Directories & Paths
   
     
     
   * SECTION 6 SCIENTIFIC DATA STRUCTURES IN PYTHON
     
      * Chapter 14: Numpy Arrays
      * Chapter 15: Pandas Dataframes
   
     
     
   * SECTION 7 WRITE EFFICIENT, CLEAN CODE USING OPEN SOURCE PYTHON
     
      * Chapter 16: Write Clean Expressive Code
      * Chapter 17: Conditional Statements in Python
      * Chapter 18: Loops in Python
      * Chapter 19: Intro to Functions in Python
   
     

 * Overview
   * Intro to Earth Data Science Home

INTRO-TO-EARTH-DATA-SCIENCE-TEXTBOOK HOME


LESSON 3. CODE AND MARKDOWN CELLS IN JUPYTER NOTEBOOK

Jenny Palomino, Leah Wasser


ON THIS PAGE

 * Learning Objectives
 * Work With Python Code and Markdown Cells in Jupyter Notebook
 * Rearrange Cells in a Jupyter Notebook


LEARNING OBJECTIVES

After completing this page, you will be able to:

 * Create new Code and Markdown cells within Jupyter Notebook.
 * Run Code and Markdown cells within Jupyter Notebook to execute Python code
   and render Markdown text.
 * List useful shortcuts for common tasks in Jupyter Notebook.


WORK WITH PYTHON CODE AND MARKDOWN CELLS IN JUPYTER NOTEBOOK

Recall that a Jupyter Notebook file consists of a set of cells that can store
text or code.

 * Text Cells: Text cells allow you to write and render Markdown syntax. This is
   where you can describe and document your workflow.
 * Code Cells: Code cells allow you to write and run programming code (e.g.
   Python).


CREATE NEW CELLS

You can use either the Menu tools or Keyboard Shortcuts to create new cells.

FunctionKeyboard ShortcutMenu ToolsCreate new cellEsc + a (above), Esc + b
(below)Insert→ Insert Cell Above OR Insert → Insert Cell BelowCopy CellcCopy
KeyPaste CellvPaste Key

While the default cell type for new cells is Code, you can change the cell type
of any existing cell by clicking in the cell and selecting a new cell type (e.g.
Markdown) in the cell type menu in the toolbar.

Cell type options include Code, Markdown, Raw NBConvert (for text to remain
unmodified by nbconvert), and Heading.

You can change the cell type of any cell in Jupyter Notebook using the Toolbar.
The default cell type is Code.

To use the Keyboard Shortcuts, hit the esc key. After that, you can change a
cell to Markdown by hitting the m key, or you can change a cell to Code by
hitting the y key.


RUN CELLS

PYTHON CODE CELLS

You can run any cell in Jupyter Notebook (regardless of whether it contains Code
or Markdown) using the Menu tools or Keyboard Shortcuts.

FunctionKeyboard ShortcutMenu ToolsRun CellCtrl + enterCell → Run Cell

For example, you can add a new Code cell and then run the following Python code
(e.g. 3 + 4). Your result, or output, will be displayed below the Code cell that
you run.

3 + 4 


7


MARKDOWN CELLS

You can run Markdown cells in the same way that you can run code cells. However,
when you run a Markdown cell, the text formatted using Markdown syntax will be
rendered as stylized text.

This means that headings are larger and bold, bulleted lists have bullets next
to them instead of *, and regular text looks normal. No outputs will appear
below the Markdown cell.

For example, the Markdown syntax below represents 3 headers. You can
double-click in any Markdown cell to see the raw Markdown syntax, which for the
cell below would appear like this raw Markdown syntax:

### This is a subtitle in Markdown

#### This is a smaller subtitle

##### This is an even smaller subtitle


To see the Markdown as stylized text, run the cell. It should look like the text
printed below:


THIS IS A SUBTITLE IN MARKDOWN

THIS IS A SMALLER SUBTITLE

THIS IS AN EVEN SMALLER SUBTITLE


REARRANGE CELLS IN A JUPYTER NOTEBOOK

You can change the order of cells within Jupyter Notebook using the up arrow and
down arrow buttons on the menu bar. To do this, click inside the cell that you
want to move and then press the desired arrow as many times as you need to move
the Cell to the desired location.

You can use the menu bar in Jupyter Notebook to move cells within the Jupyter
Notebook file.


CLEAR RESULTS IN JUPYTER NOTEBOOK

Sometimes, you may want to clear any output results that have been produced. You
can do this using the Menu:

Menu ToolsCell -> Current Outputs -> Clear

This will clear the current cell that you are working in, which you can activate
by clicking in a cell.

You can also clear all of the output using the Menu Tools.

Menu ToolsCell -> All Output -> Clear

Manage Directories Using Dashboard Jupyter Notebook For Python
Tags Reproducible science and programming: jupyter notebook

Updated: September 14, 2020

The Intro to earth data science textbook course is subject to the CC BY-SA 4.0
License . Citation DOI: https://doi.org/10.5281/zenodo.3382162

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