Beginning with version 6.0, IPython stopped supporting compatibility with Python versions lower than 3.3 including all versions of Python 2.7. If you are looking for an IPython version compatible with Python 2.7, please use the IPython 5.x LTS release and refer to its documentation (LTS is. IPython frontend and kernel versions are incompatible. Ask Question Asked 4 years, 7 months ago. Viewed 817 times 2. I have just upgrade my OS from 14.10 to 15.04. Spyder(Python 3.4) with iPython was working perfectly in 14.10. However, after the upgrade, iPython console failed to start up.
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Sign up for free See pricing for teams and enterprises Status | Active |
Author | Jonathan Frederic <[email protected]> |
Created | September 24, 2014 |
Updated | September 24, 2014 |
Discussion | n/a (link to the issue where the IPEP is being discussed) |
Implementation | n/a |
- Ability to interleave widgets and output.
- Multiple outputs that are addressable (display/print/clear_output)from Python and can be put into widget hierarchies.
- Kernel authors shouldn't have to implement the comm/widget stuff toget output to work.
- No additional coupling of the front-end to the kernel that we alreadyhave (through widgets)
Notebook UI
- There will be one single widget area and no separate output area.This will allow us to iframe the whole thing easily if we need to gothat way.
- That widget area is a linear sequence of widgets that are displayedby calling display(w) from Python.
- From the UI perspective output will become a widget that can be putanywhere in the widget hierarchy.
- When regular output (stdout, display_data, etc.) arrives in thefront-end, we will create a 'default output widget' in the next slot inthe widget area. This output widget will not use the Comm layer butwill get its output through an adapter layer between the existing partof the message spec and the output widget. We will need a Comm-lesswidget abstraction for this.
Python API
- The Python API for regular output (stream, display_data, etc.) willbe exactly the same as today.
- We will create a new Output widget. To direct output to this outputwidget, a user will use it as a context manager:
o = Output()h = HBox([o])with o:print('Hi there')display(HTML('WOW'))
- The default output widget won't be available as a Python sidewidget. To write output to it a user just makes regular output calls(print, display) without a context manager.
- The Output widget will have methods like display and clear_output aswell, but the global functions for those will work with the contextmanagers.
Notebook Document
- The outputs field per cell will be renamed 'widgets'. It will be alinear sequence of widget data.
- The widget data can be of two types:
- by reference = this widget data is for widget models that we wantto make sure don't get stored multiple times in a nb and whichauto-synchronize multiple views. Our existing widgets will be of thistype. The widget data for these models is stored in a global notebookwidget store by their uuid, which is put into the wigets list for thecell in which the widget is viewed.
- by copy = this widget data is for widget models that are storedinline in the widgets list - if they appear multiple times, they arecopied. Output widgets will be of this type. This will keep regularoutput inline in the per cell widget list.
The widget data for either type is built by calling the get_statemethod of the widget object in Javascript. Widget and outputpersistence will work by calling set_state with the widget data in thenotebook.
Message spec
No changes to the message spec are needed.
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Talk on IPython frontends and backends for PyData SV 2014
Paul Ivanov was responsible for the Protocol and Frontend portion of thetalk.
Thomas Kluyver was responsible for the Kernels and Kernel Spec portion of thetalk. See theIJulia,theIHaskell,and the Rlanguage notebooks.
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May 03 - 2:20 p.m.
Paul Ivanov, Thomas Kluyver
A key idea behind the IPython Notebook is decoupling code execution from userinterfaces. IPython relies on a documented JSON protocol, which can beimplemented by different frontends and different kernels. By implementing themessaging protocol, new frontends gain the ability to communicate with a kernelregardless of the kernel implementation language. Conversely, new kernelsautomatically gain access to the existing client ecosystem. The IPython projectmaintains three different frontends, and there are multiple third partyfrontends and kernels already in use. We'll describe some important features ofthe messaging protocol, before demonstrating some of our alternative frontends,including vim-ipython and bipython. We'll show kernels that people have writtenin other languages, such as Julia and R, and preview the upcoming features thatwill expose these alternative kernels in the Notebook user interface. This talkis proposed jointly by Paul Ivanov and Thomas Kluyver, both core IPythondevelopers.