I’d like to embed an IPython qt console widget in a PyQt application I am working on. The code provided below (and adapted from https://stackoverflow.com/a/9796491/1332492) Accomplishes this for IPython v0.12. However, this crashes in IPython v0.13 at the line self.heartbeat.start() with RuntimeError: threads can only be started once. Commenting out this line brings up the widget, but doesn’t respond to user input.
I wonder if it’s possible to install python packages without leaving the IPython shell.
I’ve recently moved over to using IPython notebooks as part of my workflow. However, I’ve not been successful in finding a way to import .py files into the individual cells of an open IPython notebook so that they can edited, run and then saved. Can this be done?
I’d like to work with Jupyter notebooks, but have had difficulty doing basic imports (such as import matplotlib). I think this was because I have several user-managed python installations. For instance:
I am using jupyter notebook with Python3 on windows 10. My computer has 8GB RAM and at least 4GB of my RAM is free.
In a iPython notebook, I have a while loop that listens to a Serial port and print the received data in real time.
Is there a way to have IPython automatically reload all changed code? Either before each line is executed in the shell or failing that when it is specifically requested to. I’m doing a lot of exploratory programming using IPython and SciPy and it’s quite a pain to have to manually reload each module whenever I … Read more
I would like to use an IPython notebook as a way to interactively analyze some genome charts I am making with Biopython’s GenomeDiagram module. While there is extensive documentation on how to use matplotlib to get graphs inline in IPython notebook, GenomeDiagram uses the ReportLab toolkit which I don’t think is supported for inline graphing in IPython.
I’m trying to set a good environnement for doing some scientific stuff with python. To do so, I installed Jupyter & miniconda.
Environment: Python 2.7, Matplotlib 1.3, IPython notebook 1.1, Linux, and Chrome. The code is in one single input cell, using --pylab=inline.