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I'm using Visual Studio 1.39.2 on Windows 10. I'm very happy that you can run Jupyter Notebook natively through VS Code as of October this year (2019), but one thing I don't get right is how to set my PYTHONPATH prior to booting up a local Jupyter server.
What I want is to be able to import a certain module which is located in another folder (because the module is compiled from C++ code). When I run a normal Python debugging session, I found out that I can set environment variables of the integrated terminal, via the setting terminal.integrated.env.linux. Thus, I set my PYTHNPATH through this option when debugging as normal. But when running a Jupyter Notebook, the local Jupyter server doesn't seem to run in the integrated terminal (at least not from what I can see), so it doesn't have the PYTHONPATH set.
My question is then, how can I automatically have the PYTHONPATH set for my local Jupyter Notebook servers in VS Code?
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To do so, open the Command Palette (Ctrl+Shift+P) and enter Preferences: Open User Settings. Then set python.condaPath , which is in the Python extension section of User Settings, with the appropriate path.
You can create a Jupyter Notebook by running the Jupyter: Create New Jupyter Notebook command from the Command Palette (Ctrl+Shift+P) or by creating a new . ipynb file in your workspace. Next, select a kernel using the kernel picker in the top right.
To work with Python Jupyter Notebooks in VS Code, simply install or update the Python extension. There’s no need to install the Jupyter extension separately. For those who are using the VS Code Insiders build, you may notice that the new preview notebooks experience that was first introduced in July has now been turned on by default.
The Python extension for VS Code has shipped with Jupyter Notebook support for over a year with growing popularity. We understand that Jupyter Notebooks are also used with other programming languages beyond Python, such as R, Julia, and Scala.
The top right of the VS Code UI says "Jupyter server: Not started". This means Jupyter library is currently not installed inside WSL. You will also get two pops, one of which says, "Data science libraries notebook and jupyter not installed". Click on "Install".
You can use the Ctrl + S keyboard combination or use the save icon on the Notebook Editor toolbar to save Jupyter Notebook. You can export Jupyter Notebook as Python (.py), PDF or HTML files. To export, just click the conversion icon on the main toolbar. Next, you will see the command panel file options.
I'm a developer on this extension. If you have a specific path for module resolution we provide a setting for the Jupyter features called:
Python->Data Science: Run Startup Commands
That setting will run a series of python instructions in any Jupyter session context when starting up. In that setting you could just append that path that you need to sys.path directly and then it will run and add that path every time you start up a notebook or an Interactive Window session.
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