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Development version

This document describes in-flight development work.

Warning

Please do not edit this file by hand (doing so will likely cause merge conflicts for other Pull Requests). Instead, create a new file in the docs/source/whatsnew/pr folder

  • %%capture cell magic now captures the rich display output, not just stdout/stderr

Select Notebook Name When Renaming a Notebook

The default notebook name is Untitled. It's unlikely you want to keep this name or part of it when naming your notebook. Instead, IPython will select the text in the input field so the user can easily type over the name and change it.

clear_output changes

  • There is no longer a 500ms delay when calling clear_output.
  • The ability to clear stderr and stdout individually was removed.
  • A new wait flag that prevents clear_output from being executed until new output is available. This eliminates animation flickering by allowing the user to double buffer the output.
  • The output div height is remembered when the wait=True flag is used.

Backwards incompatible changes

  • Python 2.6 and 3.2 are no longer supported: the minimum required Python versions are now 2.7 and 3.3.
  • The Transformer classes have been renamed to Preprocessor in nbconvert and their call methods for them have been renamed to preprocess.
  • The call methods of nbconvert post-processsors have been renamed to postprocess.
  • The module IPython.core.fakemodule has been removed.
  • The alias system has been reimplemented to use magic functions. There should be little visible difference while automagics are enabled, as they are by default, but parts of the :class:`~IPython.core.alias.AliasManager` API have been removed.
  • We fixed an issue with switching between matplotlib inline and GUI backends, but the fix requires matplotlib 1.1 or newer. So from now on, we consider matplotlib 1.1 to be the minimally supported version for IPython. Older versions for the most part will work, but we make no guarantees about it.
  • The :command:`pycolor` command has been removed. We recommend the much more capable :command:`pygmentize` command from the Pygments project. If you need to keep the exact output of :command:`pycolor`, you can still use python -m IPython.utils.PyColorize foo.py.