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Visual Studio Code (VS Code) is a popular and powerful code editor that supports a wide range of programming languages, including Python. In addition to its excellent code editing features, VS Code provides robust support for Jupyter Notebooks, allowing you to seamlessly integrate your data analysis and machine learning workflows. This tutorial will guide you through the process of running Python notebooks in Visual Studio Code, complete with code examples.
If you haven't already installed Visual Studio Code, you can download it from the official website: Visual Studio Code.
Once Visual Studio Code is installed, you'll need to install the Python extension to enable Python support. Follow these steps:
Now that you have the Python extension installed, you can create a new Jupyter Notebook. Follow these steps:
Inside the newly created notebook, you can write and run Python code in cells. Each cell can contain code or markdown. Here's an example:
To execute the code in a cell, you can use the following methods:
You can also run all cells in the notebook at once by clicking the "Run All Cells" button in the toolbar.
The output of the code execution will be displayed below the corresponding cell. For example, the output of the print statement and the generated plot will appear in the notebook.
Congratulations! You have successfully created and run a Python notebook in Visual Studio Code. This powerful combination allows you to seamlessly integrate code development, data analysis, and visualization in a single environment.
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