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The debugger specifically starts on the code in that cell.

For an individual cell, use the Debug Cell adornment that appears above the cell.

For the whole Notebook, open the Command Palette (⇧⌘P) and run the Python: Debug Current File in Python Interactive Window command.

Using the debugger is a helpful way to find and correct issues in notebook code. Once exported as a Python file, the Visual Studio Code debugger lets you step through your code, set breakpoints, examine state, and analyze problems. You can update your old Python Extension by clicking on the Update.ĭebug Jupyter Notebook code in Visual Studio Code: Currently, to debug a Jupyter Notebook you will need to first export it as a Python file. Note- In-case your Visual Studio Code Editor - Python extension is installed. Goto extension section (left side menu) and search for the extension. Install Python and IntelliCode Extension in Visual Studio and restart. How to use Jupyter Notebook in Visual Studio Codeĭownload and install the latest version of Visual Studio Code IDE Microsoft Officially announces native support of Jupyter Notebook in Visual Studio Code by installing Official Python Extension. It’s open Source, everyone around the globe uses it. Previously Jupyter notebook was known as iPython. Its an editor and to be precise its a web-based editor designed for python and other Programming Languages. Jupyter Notebook Supports Python, Java, R, Julia, Matlab, Octave, Scheme, Processing, Scala, and many more. Most Data Scientists around the globe use Jupyter Notebook as an editor for Machine Learning Development, Research and Experiment. Not just Program it supports many DevOps tools like Ansible, Kubernetes, Yaml and many more. Visual Studio Code is a World Class tool to Program in any language.

I am a fan of desktop IDE like Visual Studio Code (VS Code) and Sublime. People who work in Python, they love to do their research and experiments in Jupyter Notebook.