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Python Programming with Jupyter and Anaconda

Working with Jupyter Notebooks

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is an excellent tool for data analysis, scientific computing, and machine learning. In this lesson, you will learn how to use Jupyter Notebooks to write and run Python code, as well as how to create and manipulate cells.

When you open a Jupyter Notebook, you will see a dashboard with a list of files and folders. To create a new notebook, click on the 'New' button and select 'Python 3'. This will open a new notebook with an empty cell. You can type Python code into the cell and run it by pressing 'Shift + Enter'.

There are two types of cells in a Jupyter Notebook: code cells and markdown cells. Code cells are used for writing and running code, while markdown cells are used for adding text and formatting. To change the type of a cell, click on it and select 'Code' or 'Markdown' from the dropdown menu.

You can add new cells by clicking on the '+' button or by using the keyboard shortcut 'Esc + B'. You can delete cells by clicking on the cell and selecting 'Delete' from the dropdown menu or by using the keyboard shortcut 'Esc + D + D'.

Jupyter Notebook also supports keyboard shortcuts for common tasks, such as saving the notebook, running cells, and changing cell types. To see a list of available shortcuts, click on the 'Help' menu and select 'Keyboard Shortcuts'.

To learn more about Jupyter Notebook and its capabilities, you can check out the official documentation at https://jupyter-notebook.readthedocs.io/en/stable/.

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