Open and use a Jupyter notebook

Natalie Nelson, University of Florida
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All data analysis will be performed using a cloud-based Jupyter Notebook that was created for this assignment. The Jupyter Notebook is accessed through GitHub from the command line.

Conceptual Outcomes

Students will be:

  • Aware of cloud-based platforms used by programmers to share data analysis tools
  • Able to analyze time series data using simple descriptive statistics

Practical Outcomes

Students will be:

  • Familiar with using the command line and accessing GitHub repositories
  • Able to analyze data using Jupyter notebooks

Time Required

2-3 hours

Computing/Data Inputs

Computing/Data Outputs

Hardware/Software Required

Internet browser


  1. Open the Terminal window and navigate to the folder where you'd like the directory from GitHub to be copied to. You can do this with:
  2. Once you've changed directories, enter:
  3. Copy your Data folder into the LSJR_Jupyter_project folder. This folder should be structured as follows:
  4. Return to your Terminal window and move to your LSJR_Jupyter_project folder by entering:
  5. Open Jupyter by entering:
  6. Wait for Jupyter to open in your browser. This might take a minute or two. Once Jupyter opens in your browser, verify that you are in the LSJR_Jupyter_project directory.
  7. Click on "Analyzing DO data across a fresh-estuarine gradient of the LSJR using Python.ipynb" to open the Jupyter notebook.
  8. You need to start by clearing all output. At the top of the page, go to Cell > All Output > Clear
  9. You're ready to use the Jupyter notebook! To execute the code, click in a code block and enter Shift+Enter. Or, if you'd like to run the code all at once, you can go to Cell > Run All.

Additional Activities and Variants

Related Steps