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jupyter notebooks are a powerful tool for interactive computing that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. in this tutorial, we will cover the basics of using python in a jupyter notebook, including code cells, markdown cells, and various features that enhance your interactive coding experience.
before we begin, ensure that you have python installed on your machine. you can install jupyter notebook using the following command:
once installed, open a terminal and navigate to the directory where you want to create your notebook. run the following command:
this will open a new tab in your web browser, displaying the jupyter notebook dashboard.
you will now be in a new notebook with an empty code cell.
code cells are where you write and execute your python code. to add a new code cell, click the "+" button in the toolbar or press b while in command mode (press esc to enter command mode).
let's write a simple python code example:
to execute the code cell, press shift + enter or click the "run" button in the toolbar.
markdown cells allow you to add formatted text, images, and links to your notebook. to create a markdown cell, click the "+" button, select "markdown" from the dropdown menu, and enter your markdown content.
example markdown cell:
to render the markdown, execute the cell (shift + enter).
jupyter supports magic commands, which provide additional functionality. magic commands start with % for single-line commands and %% for multi-line commands. for example:
jupyter notebook has several keyboard shortcuts to enhance your productivity. press h in command mode to view the list of shortcuts.
this tutorial covered the basics of using python in a jupyter notebook. explore more features and functionalities to make the most out of your interactive coding and documentation experience.
remember, jupyter notebooks are not only for python; you can use them with various programming languages and tools ...

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