ipython-notebook

I don't want to raise this as an issue, because it seems like a completely unreasonable feature request for what is a fairly amazing tool. But if any readers happen to be familiar with the architecture I'd be interested to know if a potential extension seems feasible. I recently wrote a notebook with some simple threaded code in it, just to see what would happen when I ran it. The notebook code (tl;dr it starts a number of parallel threads that print in a sleep loop) is available at https://gist.github.com/4562840 . By hitting SHIFT-RETURN a few times as the code runs you can observe that any

I want to capture and plot the results from 5 or so timeit calls with logarithmically increasing sizes of N to show how methodX() scales with input. So far I have tried: output = %timeit -r 10 results = methodX(N) It does not work... Can't find info in the docs either. I feel like you should be able to at least intercept the string that is printed. After that I can parse it to extract my info. Has anyone done this or tried? PS: this is in an ipython notebook if that makes a diff. Iguananaut This duplicate question Capture the result of an IPython magic function has an answer demonstrating that

I have some asyncio code which runs fine in the Python interpreter (CPython 3.6.2). I would now like to run this inside a Jupyter notebook with an IPython kernel. I can run it with import asyncio asyncio.get_event_loop().run_forever() and while that seems to work it also seems to block the notebook and doesn't seem to play nice with the notebook. My understanding is that Jupyter uses Tornado under the hood so I tried to install a Tornado event loop as recommended in the Tornado docs : from tornado.platform.asyncio import AsyncIOMainLoop AsyncIOMainLoop().install() However that gives the

Sometimes it takes a long time to run a single cell, while it is running, I would like to write and run other cells in the same notebook, accessing the variables in the same context. Is there any ipython magic that can be used such that when it is added to a cell, running the cell will automatically create a new thread and run with shared global data in the notebook? It may not be an answer, but rather the direction to it. I did not saw anything like that, still I'm interested in this too. My current findings suggesting that one need to define it's own custom cell magic . Good references would