When I run %qtconsole from within ipython3 I get ERROR: Line magic function%qtconsolenot found., but ipython3 qtconsole in terminal starts fine. According to this, how can I run qtconsole instance connected to ipython3 instance? And how to run it on a single core -- rc[0].execute(%qtconsole)?
P.S. If someone know, tell me please how to escape `(backquote) symbol in code-mode.
Reposting as an answer:
If you just run ipython3 in a terminal, what you get is a pure terminal interface, it's not running a kernel that the Qt console can talk to.
If you run ipython3 console, you'll get a similar interface but it will be talking to a kernel, so you can start a Qt console to interact with it. You can either run %qtconsole from inside that interface, or run ipython qtconsole --existing in a shell to start a Qt console and connect to an existing kernel.
Related
I've got a notebook that has got a bit unwieldy and I'm doing some refactoring which isn't fun.
I was wondering if it would be possible to execute code in this notebook from the command line for debugging.
Ideally, I would run something like:
run-in-jupyter $notebook file.py
and see the output from the command line. There is an interpreter in jupyterlab that can do this, so this make me think that it is possible.
I have a brief search but couldn't find much
How to run an .ipynb Jupyter Notebook from terminal? I explicitly don't want to do this (I want to run commands in an existing instace)
There is this library but this seems quite involved and some of the results I found on the internet where people not being able to use the library
jupyter console (pip install jupyter-console) connects to a running jupyter kernel from the kernel. Details on running kernels can be found amongst jupyter's run time files, on my box these live in ~/.local/share/jupyter/runtime. You can find the path to the kernel data file corresponding to an open workbook with %config IPKernelApp.connection_file which will look something like ~/.local/share/jupyter/runtime/kernel-55da8a07-b67d-4584-9ec6-f24e4a26cbbd.json.
You can then connect from the command line with
jupyter console --existing ~/.local/share/jupyter/runtime/kernel-55da8a07-b67d-4584-9ec6-f24e4a26cbbd.json
You can pipe commands into it as shown
echo h=87 | jupyter console --existing 55da8a07-b67d-4584-9ec6-f24e4a26cbbd 'h=57' --simple-prompt -y
I am trying to run some notebooks in my virtual environment in the VSCode (remotely connected). I install the venv as usual via python3 -m venv <venv-name>, activate it and install all the needed modules. When I run which ipython I get the one from the venv so I install the kernel via ipython kernel install --name "<name>" --user and it is successfully created in ~/.local/share/jupyter/kernels/ directory and the kernel.json points to the venv python. Then I open the VSCode and select both the Python: Select Interpreter and Jupyter: Select Interpreter to start Jupyter server to point to the virtual environment's python, sth. like .../<venv-name>/bin/python3.
However, when I try to run the cell it wants me to select kernel (I can also do it myself in the upper right corner of the VSCode), but my newly created kernel is not there. There are only two (same) ones from usr/bin/python.
It is really strange since twice in two days my kernel magically appeared for one notebook and worked as desired, but when I opened a new notebook, my kernel was gone again. I tried to remove/reinstall kernels, venvs, VSCode's Python and Jupyter extensions but nothing helped. Any suggestions?
For now, I start the kernel in remote command-line via jupyter notebook --no-browser --ip=<ip> and then insert the connection link to Jupyter Server in the bottom right corner of the VSCode status bar but am wondering if there is an easier way since all the stuff (except VSCode) is on a remote machine?
This way is not easy. You can set up Jupyter Kernel easily.
Firstly, using ssh to connect to the remote server.
Secondly, open Command Palette (⇧⌘P) and enter Python: Select Interpreter, you can directly connecting to remote kernel.
resource: https://code.visualstudio.com/docs/datascience/jupyter-notebooks
Is there a way to open an IPython interactive console in pycharm that is connected to an existing running kernel (similar to "python --existing")?
btw: in case it's relevant, in my case, the running kernel is of a Jupiter notebook...
EDIT: To clarify, my question is NOT about how to open an interactive console in PyCharm. It is about how to connect that interactive console to a an existing running (Jupiter notebook) Kernel.
(tl;dr: Use jupyter console --existing in the PyCharm "Terminal" tool window (not the "Python Console" tool window) to connect to an existing iPython kernel running in a local Jupyter Notebook server.)
I can confirm that the comment by #john-moutafis suggesting ipython console --existing is the right idea. The command gives "WARNING | You likely want to use jupyter console in the future" so I tried that.
I have a project using a conda environment as its interpreter. Jupyter Notebook is installed in the conda environment.
I open the Terminal tool window. It automatically activates the conda environment.
I type jupyter notebook. The notebook server starts and a browser window opens.
I create a notebook in the browser, and execute a cell containing foo = "bar".
In PyCharm, I open another Terminal tool window by clicking the plus sign to the left of the terminal pane.
In the new terminal I type jupyter console --existing, and it starts an ipython console session.
At the prompt I type dir(), and foo is among the results, confirming that I'm attached to the same kernel as the notebook.
I don't know how it picks which kernel to connect to when there are multiple kernels running in the notebook server.
Don't type exit in the iPython session if you plan to continue using the notebook, it shuts down the kernel.
Unfortunately, tools like Debug and "Execute Line/Selection in Console", which are available for the "Python Console" tool window, are not available for the "Terminal" tool window. In fact, because the Terminal tool window is a simple tool, and that's where I've run my commands, this solution isn't very integrated with PyCharm. The terminal opens in the project directory and activates the conda environment, and it's conveniently adjacent to the editors and tools of the IDE, but otherwise there's no connection to PyCharm's tools.
If anyone can successfully attach PyCharm's integrated PyDev debugger to a running kernel, please chime in.
I'm using PyCharm 2016.3 on macOS 10.12.3.
The easiest way for me is just to type %qtconsole in a jupyter notebook cell and run it. A qt console will open already connected to the running kennel. No PyCharm involved.
I'm using ipython 4.1.2 (installed via Anaconda). I locate the profile location (which is the default)
ipython locate profile
/home/myname/.ipython/profile_default
ipython kernel runs fine, saying
To connect another client to this kernel, use:
--existing kernel-8664.json
However, when I look inside /home/myname/.ipython/profile_default/security, it is entirely empty.
What's the issue here?
Connection files now live in a different location, because they are a component of the Jupyter architecture, rather than an IPython specific thing. The exact location depends on your system, but you can find it by running:
jupyter --runtime-dir
Or in Python code, call:
jupyter_core.paths.jupyter_runtime_dir()
I am using the ipython notebook to code but sometimes I like to connect to the kernel on a terminal to do some debugging. To launch the interactive terminal connected to my kernel I do:
ipython console --existing kernel-715d122b-4902-4c9d-a663-8da4c34c96ee.json --profile notebook
When I do this I do not have access to the %paste magic since it is not loaded in the notebook profile. How can I load the %paste magic in this case?
Thanks.