I'd like to write Cython in vscode using the built-in jupyter notebook and Cython extension. I can actually do it and it will compile just fine, but vscode thinks it's python code and will complain about all kinds of syntax and linting errors. I know I could write in pure python mode, but I'm also trying to learn Cython simultaneously, so that's not very helpful.
I tried installing Cython language extensions, but none of them appeared in vscode when I tried to switch language of cell.
Is this possible? How could I do this?
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I noticed that I have many extensions installed that I don't recall manually installing, e.g. isort, jupiter cell tags, etc.
I only installed the "python" and "jupyter notebooks" extensions myself. Those others seem to be installed later without my knowledge.
Does VS Code install extensions automatically somehow?
To answer the general question
Yes, VS Code does come with some extensions installed "out-of-box". It calls those extensions "Built-In" extensions. If you open the extension page of one of those extensions, it will say:
Notice: This extension is bundled with Visual Studio Code. It can be disabled but not uninstalled.
One example of this is the vscode.typescript-language-features extension. You can get a list of all running with the Developer: Show Running Extensions command. It's kind of hard to find them otherwise, since they don't normally show up in the extensions sidebar.
In your particular case, you misunderstood something
The Python and Jupyter extensions you installed are extension packs. They include isort and Jupyter Cell Tags (as well as others).
You can see for yourself.
https://marketplace.visualstudio.com/items?itemName=ms-python.python:
The Python extension will automatically install the Pylance, Jupyter and isort extensions to give you the best experience when working with Python files and Jupyter notebooks.
https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter:
The Jupyter Extension will automatically install the following extensions by default to provide enhanced Jupyter notebook experiences in VS Code.
Jupyter Keymap - to provide Jupyter-consistent keymaps
Jupyter Notebook Renderers - to provide renderers for MIME types such as latex, plotly, vega, etc.
Jupyter Cell Tags and Jupyter Slide Show - to provide the ability to tag cells in notebooks and support for presentations
I just installed VSCode 1.59.0 along with the Julia, Jupyter, and Python extensions. I am able to create Jupyter notebooks using either Julia or Python. When I create a notebook using Python, I see the variables I create listed in the Jupyter: Variables tab. When I create a notebook using Julia, however, I do not see the variables I create listed anywhere.
At the present moment, while Julia is generally supported in the VS Code Extension, this specific feature is not supported. I have an issue on the Microsoft side and Julia VS Code side open here: https://github.com/microsoft/vscode-jupyter/issues/7224 to hopefully kick start this process.
The Julia VS Code extension does already support this feature outside of Notebooks (when running a ".jl" file) so this should seemingly not be too difficult of a task to port it over to the Jupyter extension, but I am unfamiliar with the level of technical rigor this would require.
In VSC, all I can select is my Python Interpretter. I have Lua installed, same as Java, but I cannot run either, it will always run as Python 3.9
By it will always run as python 3.9, have you tried to make a new file, save as, and you can choose what type of language you are going to use. Hope this solves your problem!
I have an issue with VS Code which I recently installed in my MacOS BigSur.
I tried out the Jupyter Notebook extension and in their documentation it says that they have full intellisense support for this extension as well.
Intellisense in Jupyter Notebook in VSCode works well for completing variables, functions,methods,etc....
The only issue I have is that I am not able to get the arguments/parameter information, though it is working fine with the python extension of VSCode
I tried out things like Shift+TAB...which works in JupyterNotebooks(not the VS Code version).
Is this a bug that I am facing...or is it just like that. Can you also please suggest as to how to make this work.
Edit May 12, 2021: With the Pylance language server (now the default), I now get parameters and type hints.
According to this issue on GitHub, the arg/param info is not supported on stable VS Code. It looks like you need to use the "Native Notebook" in VS Code Insiders (the beta) and use the "Pylance" language server Extension.
I haven't tried this solution myself (not sure I want to install Insiders), but just changing the language server to "Pylance" at least gives you signatures.
I am on Ubuntu 20.04 and have both Python2 and Python3 installed natively. I have also installed Python through miniforge, a variant of miniconda. In VSCode I have both the MS Python extension and Pylance installed.
I use the miniforge python for my coding. This works perfectly fine in PyCharm.
However in VSCode, when I try to execute the same file I get errors. After investigating it seems that VSCode is picking native Python2 - even though I have the miniforge Python selected. In this picture it can be seen that the status bar at the bottom states Python interpreter selected is Python3. But the output window shows that the python interpreter is Python2.
A more confusing thing is when I use VSCode for Jupyter notebook files then it picks up the interpreter correctly and I have no issues.
I have checked both User and Workspace settings, and they all point to Python3. How can I fix this for standard .py files?
I prefer VSCode to PyCharm, but will need to use PyCharm till this is resolved.
It seems that your system console cannot see python3. You need to put the python3 in the PATH variable, before python2. Like:
PATH=path/to/python3:path/to/python2:$PATH
Also, make sure that the environment containing python3 is activated before command prompt appears. It can be done in bash_profile by adding a line like
conda activate my_env_with_python3
Try changing the settings "Python:Python path", "Python:default interpreter path" and "Python:conda path" also.
I have just bumped into something similar. The Run code option resulted in the file being run with the default interpreter instead of the venv-based one with necessary packages installed.
The fix was simply to use "Run python file" instead:
The run-code behavior must be customizable, something is mentioned e.g. here: Run Code vs Run Python File in Terminal for VSCODE but I didn't bother.