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title: running python code in jupyterlab: a comprehensive tutorial
introduction:
jupyterlab is a powerful and flexible open-source web application for interactive computing. it supports various languages, but python is one of the most commonly used. in this tutorial, we'll walk through the process of running python code in jupyterlab, covering installation, basic usage, and some advanced features.
if you haven't installed jupyterlab yet, you can do so using the following command in your terminal or command prompt:
once installed, you can launch jupyterlab by running the following command in your terminal or command prompt:
this will open a new tab in your default web browser with the jupyterlab interface.
in the jupyterlab interface, click on the "+ " icon in the left sidebar or go to "file" - "new" - "notebook" to create a new python notebook.
you will be prompted to select the kernel. choose "python 3" if it's not already selected.
in the notebook cell, you can write your python code. to execute the code within a cell, you can use one of the following methods:
example:
jupyterlab allows you to add, delete, and move cells. to add a new cell, you can use the "+" button in the toolbar. to delete a cell, select it and press the scissors icon. you can move cells up or down using the up and down arrows in the toolbar.
remember to save your work by clicking on the floppy disk icon or going to "file" - "save notebook". you can export your notebook to various formats, such as html, pdf, or even as a python script, by going to "file" - "export notebook as".
jupyterlab offers various features like markdown cells for documentation, support for different kernels, and magic commands. explore these features to enhance your interactive computing experience.
congratulations! you've successfully run python code in jupyterlab. this tutorial covers the basics, and there's much more to discover as you delve deeper into the capabilities of jupyterlab. happy coding!
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