ipython-notebook

I'm looking at using the *.ipynb files as the source of truth and programmatically 'compiling' them into .py files for scheduled jobs/tasks. The only way I understand to do this is via the GUI. Is there a way to do it via command line? wwwilliam If you don't want to output a Python script every time you save, or you don't want to restart the IPython kernel: On the command line , you can use nbconvert : $ jupyter nbconvert --to script [YOUR_NOTEBOOK].ipynb As a bit of a hack, you can even call the above command in an IPython notebook by pre-pending ! (used for any command line argument). Inside

I want buttons and other interactive matplotlib objects to appear from within my ipython notebook. Here is what I've done: Installed http://datasciencetoolbox.org , it is a vagrant box with ipython installed and version 1.3.1 of matplotlib. I needed to upgrade matplotlib to the latest version, because it has this capability to do inline interactive plots. What's new in Matplotlib 1.4.1 I needed to run sudo apt-get install pkg-config and sudo pip install matplotlib --upgrade in order to get that going. Then, in order to produce the nice (i.e. error-free) screenshot below, I went into the

If I start an ipython notebook with matplotlib inlined, is there a way to subsequently plot a figure so that it shows in the "standard", non-inlined, way, without having to reload the notebook without the inline command? I'd like to be able to have some figures inlined int he notebook, but others in the traditional interactive mode, where I can zoom and pan. You can switch the matplotlib's backend by %matplotlib <backend> . To switch back to your system's default backend use %matplotlib auto or just simply %matplotlib . There are many backends available such as gtk , qt , notebook , etc. I

Dropdown menu in the top-right of the UI on a local machine (PC): Kernel-> Change kernel-> Python 2 (on a local PC) Python 3 (on a local PC) My new kernel (on a remote PC) IPython use kernel is a file in ~/.ipython/kernel/<name> that describe how to launch a kernel. If you create your own kernel (remote, or whatever) it's up to you to have the program run the remote kernel and bind locally to the port the notebook is expected. The IPython notebook talks to the kernels over predefined ports. To talk to a remote kernel, you just need to forward the ports to the remote machine as part of the

One cell in my notebook executes for a long time, while the other CPU's in the machine are idle. Is it possible to run other cells in parallel? Not magically, and probably not what you think but yes. Here is the documentation for ipyparallel (formerly IPython parallel ) that will show you how to spawn multiple IPython kernel. After you are free to distribute the work across cores, and you can prefix cells with %%px0 %%px1 ... %%px999 (once set up) to execute a cell on a specific engine, which in practice correspond to parallel execution of cell. I woudl suggest having a look as Dask as well.