Why is the Jupyter Notebook tool useful when developing and testing data analysis software?
- program output is displayed in the standalone Jupyter Notebook application
- markdown text explains the operation of SQL queries and displays the results
- when the Python code is compiled, each step is displayed
- program execution output is displayed dynamically in real-time
Explanation: 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.
Related exam: Data Analytics Essentials Course Final Exam
