Important

This documentation covers IPython versions 6.0 and higher. 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 the long term support release).

2.x Series

Release 2.4

January, 2014

Note

Some of the patches marked for 2.4 were left out of 2.4.0. Please use 2.4.1.

  • backport read support for nbformat v4 from IPython 3

  • support for PyQt5 in the kernel (not QtConsole)

  • support for Pygments 2.0

For more information on what fixes have been backported to 2.4, see our detailed release info.

Release 2.3.1

November, 2014

  • Fix CRCRLF line-ending bug in notebooks on Windows

For more information on what fixes have been backported to 2.3.1, see our detailed release info.

Release 2.3.0

October, 2014

  • improve qt5 support

  • prevent notebook data loss with atomic writes

For more information on what fixes have been backported to 2.3, see our detailed release info.

Release 2.2.0

August, 2014

  • Add CORS configuration

For more information on what fixes have been backported to 2.2, see our detailed release info.

Release 2.1.0

May, 2014

IPython 2.1 is the first bugfix release for 2.0. For more information on what fixes have been backported to 2.1, see our detailed release info.

Release 2.0.0

April, 2014

IPython 2.0 requires Python ≥ 2.7.2 or ≥ 3.3.0. It does not support Python 3.0, 3.1, 3.2, 2.5, or 2.6.

The principal milestones of 2.0 are:

  • interactive widgets for the notebook

  • directory navigation in the notebook dashboard

  • persistent URLs for notebooks

  • a new modal user interface in the notebook

  • a security model for notebooks

Contribution summary since IPython 1.0 in August, 2013:

  • ~8 months of work

  • ~650 pull requests merged

  • ~400 issues closed (non-pull requests)

  • contributions from ~100 authors

  • ~4000 commits

The amount of work included in this release is so large that we can only cover here the main highlights; please see our detailed release statistics for links to every issue and pull request closed on GitHub as well as a full list of individual contributors.

New stuff in the IPython notebook

Directory navigation

Directory navigation

The IPython notebook dashboard allows navigation into subdirectories. URLs are persistent based on the notebook’s path and name, so no more random UUID URLs.

Serving local files no longer needs the files/ prefix. Relative links across notebooks and other files should work just as if notebooks were regular HTML files.

Interactive widgets

Interactive widgets

IPython 2.0 adds IPython.html.widgets, for manipulating Python objects in the kernel with GUI controls in the notebook. IPython comes with a few built-in widgets for simple data types, and an API designed for developers to build more complex widgets. See the widget docs for more information.

Security

2.0 introduces a security model for notebooks, to prevent untrusted code from executing on users’ behalf when notebooks open. A quick summary of the model:

  • Trust is determined by signing notebooks.

  • Untrusted HTML output is sanitized.

  • Untrusted Javascript is never executed.

  • HTML and Javascript in Markdown are never trusted.

Dashboard “Running” tab

Running tab

The dashboard now has a “Running” tab which shows all of the running notebooks.

Single codebase Python 3 support

IPython previously supported Python 3 by running 2to3 during setup. We have now switched to a single codebase which runs natively on Python 2.7 and 3.3.

For notes on how to maintain this, see Writing code for Python 2 and 3.

Selecting matplotlib figure formats

Deprecate single-format InlineBackend.figure_format configurable in favor of InlineBackend.figure_formats, which is a set, supporting multiple simultaneous figure formats (e.g. png, pdf).

This is available at runtime with the new API function IPython.display.set_matplotlib_formats().

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.

Extending configurable containers

Some configurable traits are containers (list, dict, set) Config objects now support calling extend, update, insert, etc. on traits in config files, which will ultimately result in calling those methods on the original object.

The effect being that you can now add to containers without having to copy/paste the initial value:

c = get_config()
c.InlineBackend.rc.update({ 'figure.figsize' : (6, 4) })

Changes to hidden namespace on startup

Previously, all names declared in code run at startup (startup files, ipython -i script.py, etc.) were added to the hidden namespace, which hides the names from tools like %whos. There are two changes to this behavior:

  1. Scripts run on the command-line ipython -i script.py``now behave the same as if they were passed to ``%run, so their variables are never hidden.

  2. A boolean config flag InteractiveShellApp.hide_initial_ns has been added to optionally disable the hidden behavior altogether. The default behavior is unchanged.

Using dill to expand serialization support

The new function use_dill() allows dill to extend serialization support in IPython.parallel (closures, etc.). A DirectView.use_dill() convenience method was also added, to enable dill locally and on all engines with one call.

New IPython console lexer

The IPython console lexer has been rewritten and now supports tracebacks and customized input/output prompts. See the new lexer docs for details.

DisplayFormatter changes

There was no official way to query or remove callbacks in the Formatter API. To remedy this, the following methods are added to BaseFormatter:

  • lookup(instance) - return appropriate callback or a given object

  • lookup_by_type(type_or_str) - return appropriate callback for a given type or 'mod.name' type string

  • pop(type_or_str) - remove a type (by type or string). Pass a second argument to avoid KeyError (like dict).

All of the above methods raise a KeyError if no match is found.

And the following methods are changed:

  • for_type(type_or_str) - behaves the same as before, only adding support for 'mod.name' type strings in addition to plain types. This removes the need for for_type_by_name(), but it remains for backward compatibility.

Formatters can now raise NotImplementedError in addition to returning None to indicate that they cannot format a given object.

Exceptions and Warnings

Exceptions are no longer silenced when formatters fail. Instead, these are turned into a FormatterWarning. A FormatterWarning will also be issued if a formatter returns data of an invalid type (e.g. an integer for ‘image/png’).

Other changes

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

  • In notebook, Showing tooltip on tab has been disables to avoid conflict with completion, Shift-Tab could still be used to invoke tooltip when inside function signature and/or on selection.

  • object_info_request has been replaced by object_info for consistency in the javascript API. object_info is a simpler interface to register callback that is incompatible with object_info_request.

  • Previous versions of IPython on Linux would use the XDG config directory, creating ~/.config/ipython by default. We have decided to go back to ~/.ipython for consistency among systems. IPython will issue a warning if it finds the XDG location, and will move it to the new location if there isn’t already a directory there.

  • Equations, images and tables are now centered in Markdown cells.

  • Multiline equations are now centered in output areas; single line equations remain left justified.

  • IPython config objects can be loaded from and serialized to JSON. JSON config file have the same base name as their .py counterpart, and will be loaded with higher priority if found.

  • bash completion updated with support for all ipython subcommands and flags, including nbconvert

  • ipython history trim: added --keep=<N> as an alias for the more verbose --HistoryTrim.keep=<N>

  • New ipython history clear subcommand, which is the same as the newly supported ipython history trim --keep=0

  • You can now run notebooks in an interactive session via %run notebook.ipynb.

  • Print preview is back in the notebook menus, along with options to download the open notebook in various formats. This is powered by nbconvert.

  • PandocMissing exceptions will be raised if Pandoc is unavailable, and warnings will be printed if the version found is too old. The recommended Pandoc version for use with nbconvert is 1.12.1.

  • The InlineBackend.figure_format now supports JPEG output if PIL/Pillow is available.

  • Input transformers (see Custom input transformation) may now raise SyntaxError if they determine that input is invalid. The input transformation machinery in IPython will handle displaying the exception to the user and resetting state.

  • Calling container.show() on javascript display is deprecated and will trigger errors on future IPython notebook versions. container now show itself as soon as non-empty

  • Added InlineBackend.print_figure_kwargs to allow passing keyword arguments to matplotlib’s Canvas.print_figure. This can be used to change the value of bbox_inches, which is ‘tight’ by default, or set the quality of JPEG figures.

  • A new callback system has been introduced. For details, see IPython Events.

  • jQuery and require.js are loaded from CDNs in the default HTML template, so javascript is available in static HTML export (e.g. nbviewer).

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 have been renamed to preprocess.

  • The call methods of nbconvert post-processors 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 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 pycolor command has been removed. We recommend the much more capable pygmentize command from the Pygments project. If you need to keep the exact output of pycolor, you can still use python -m IPython.utils.PyColorize foo.py.

  • IPython.lib.irunner and its command-line entry point have been removed. It had fallen out of use long ago.

  • The input_prefilter hook has been removed, as it was never actually used by the code. The input transformer system offers much more powerful APIs to work with input code. See Custom input transformation for details.

  • IPython.core.inputsplitter.IPythonInputSplitter no longer has a method source_raw_reset(), but gains raw_reset() instead. Use of source_raw_reset can be replaced with:

    raw = isp.source_raw
transformed = isp.source_reset()

  • The Azure notebook manager was removed as it was no longer compatible with the notebook storage scheme.

  • Simplifying configurable URLs

    • base_project_url is renamed to base_url (base_project_url is kept as a deprecated alias, for now)

    • base_kernel_url configurable is removed (use base_url)

    • websocket_url configurable is removed (use base_url)