Why is the Jupyter Notebook tool useful when developing and testing data analysis software?

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Why is the Jupyter Notebook tool useful when developing and testing data analysis software?

  • program execution output is displayed dynamically in real-time
  • markdown text explains the operation of SQL queries and displays the results
  • program output is displayed in the standalone Jupyter Notebook application
  • when the Python code is compiled, each step is displayed
Explanation & Hint:

Python code is interpreted and not compiled. Jupyter Notebook runs code interactively within a web browser and not in a standalone application. SQL queries are applied to relational databases and not to Jupyter Notebooks. A Notebook’s displayed output results from executed code execution in real time.

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