Import Jupyter Notebooks into Python code. When it comes time to turn experimentation into reproducible, production-ready Python code, Visual Studio Code can make that transition very easy.You can define and run individual cells using the IPython kernel, visualize data frames, interact with plots, restart kernels, and export to Jupyter Notebooks. Exploring data and experimenting with ideas in Visual Studio Code. Just like how you would use Jupyter Notebooks to explore data, with Visual Studio Code you can accomplish the same but using a familiar editor with your favorite settings.We’re starting our Visual Studio Code investments in the data science space with two main use cases in mind: These features as currently shipping as experimental.
Today we’re very excited to announce the availability of Data Science features in the Python extension for Visual Studio Code! With the addition of these features, you can now work with data interactively in Visual Studio Code, whether it is for exploring data or for incorporating machine learning models into applications, making Visual Studio Code an exciting new option for those who prefer an editor for data science tasks.
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