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Jupyter Notebook serves as a crucial tool in Artificial Intelligence and Data Science, providing a flexible environment for coding and data analysis. Its interactive features allow users to write code, visualize data, and combine explanatory text, making it particularly effective for learning and collaboration. The chapter also outlines installation processes, keyboard shortcuts, and the advantages of using Jupyter, positioning it as an essential resource for aspiring AI practitioners.
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References
Chapter_9_Jupyte.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Jupyter Notebook
Definition: An open-source web application that enables users to create and share documents containing live code, text, and visualizations.
Term: Code Cell
Definition: A cell type in Jupyter Notebook where users write and execute programming code.
Term: Markdown Cell
Definition: A cell type used for writing formatted text, including headings, lists, and equations in Jupyter Notebook.
Term: Anaconda
Definition: A distribution of Python and R for scientific computing that simplifies package management and deployment.