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).
Release 1.0.0: An Afternoon Hack¶
IPython 1.0 requires Python ≥ 2.6.5 or ≥ 3.2.1. It does not support Python 3.0, 3.1, or 2.5.
This is a big release. The principal milestone is the addition of
but there has been a great deal of work improving all parts of IPython as well.
The previous version (0.13) was released on June 30, 2012, and in this development cycle we had:
~12 months of work.
~700 pull requests merged.
~600 issues closed (non-pull requests).
contributions from ~150 authors.
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. It includes
There have been two major reorganizations in IPython 1.0:
IPython.kernelfor all kernel-related code. This means that
IPython.zmqhas been removed, and much of it is now in
IPython.kernel.zmq, some of it being in the top-level
We have removed the
frontendsubpackage, as it caused unnecessary depth. So what was
IPython.qt, and so on. The one difference is that the notebook has been further flattened, so that
IPython.frontend.html.notebookis now just
IPython.html. There is a shim module, so
IPython.frontendis still importable in 1.0, but there will be a warning.
The IPython sphinx directives are now installed in
IPython.sphinx, so they can be imported by other projects.
For the first time since 0.10 (sorry, everyone), there is an official public API for starting IPython:
from IPython import start_ipython start_ipython()
This is what packages should use that start their own IPython session,
but don’t actually want embedded IPython (most cases).
IPython.embed() is used for embedding IPython into the calling namespace,
similar to calling
will start a plain IPython session, loading config and startup files as normal.
We also have added:
from IPython import get_ipython
Which is a library function for getting the current IPython instance,
and will return
None if no IPython instance is running.
This is the official way to check whether your code is called from inside an IPython session.
If you want to check for IPython without unnecessarily importing IPython,
use this function:
def get_ipython(): """return IPython instance if there is one, None otherwise""" import sys if "IPython" in sys.modules: import IPython return IPython.get_ipython()
The input transformation framework has been reworked. This fixes some corner cases, and adds more flexibility for projects which use IPython, like SymPy & SAGE. For more details, see Custom input transformation.
Exception types can now be displayed with a custom traceback, by defining a
_render_traceback_()method which returns a list of strings, each containing one line of the traceback.
A new command,
ipython history trimcan be used to delete everything but the last 1000 entries in the history database.
__file__is defined in both config files at load time, and
.ipyfiles executed with
%logappendare no longer broken.
Add glob expansion for
%run -g script.py *.txt.
Expand variables (
$foo) in Cell Magic argument line.
By default, iptest will exclude various slow tests. All tests can be run with iptest --all.
SQLite history can be disabled in the various cases that it does not behave well.
%editworks on interactively defined variables.
editor hooks have been restored from quarantine, enabling TextMate as editor, etc.
The env variable PYTHONSTARTUP is respected by IPython.
%matplotlibmagic was added, which is like the old
%pylabmagic, but it does not import anything to the interactive namespace. It is recommended that users switch to
%matplotliband explicit imports.
--matplotlibcommand line flag was also added. It invokes the new
%matplotlibmagic and can be used in the same way as the old
--pylabflag. You can either use it by itself as a flag (
--matplotlib), or you can also pass a backend explicitly (
Backwards incompatible changes¶
InteractiveShell.prefilter()will no longer perform static transformations - the processing of escaped commands such as
!system, and stripping input prompts from code blocks. This functionality was duplicated in
IPython.core.inputsplitter, and the latter version was already what IPython relied on. A new API to transform input will be ready before release.
IPython.lib.inputhookto control integration with GUI event loops are no longer exposed in the top level of
IPython.lib. Code calling these should make sure to import them from
For all kernel managers, the
sub_channelattribute has been renamed to
Users on Python versions before 2.6.6, 2.7.1 or 3.2 will now need to call
IPython.utils.doctestreload.doctest_reload()to make doctests run correctly inside IPython. Python releases since those versions are unaffected. For details, see PR #3068 and Python issue 8048.
InteractiveShell.cache_main_mod()method has been removed, and
new_main_mod()has a different signature, expecting a filename where earlier versions expected a namespace. See PR #3555 for details.
The short-lived plugin system has been removed. Extensions are the way to go.
The major milestone for IPython 1.0 is the addition of
IPython.nbconvert - tools for converting
IPython notebooks to various other formats.
nbconvert is α-level preview code in 1.0
To use nbconvert to convert various file formats:
ipython nbconvert --to html *.ipynb
ipython nbconvert --help for more information.
nbconvert depends on pandoc for many of the translations to and from various formats.
Major changes to the IPython Notebook in 1.0:
The notebook is now autosaved, by default at an interval of two minutes. When you press ‘save’ or Ctrl-S, a checkpoint is made, in a hidden folder. This checkpoint can be restored, so that the autosave model is strictly safer than traditional save. If you change nothing about your save habits, you will always have a checkpoint that you have written, and an autosaved file that is kept up to date.
The notebook supports
input(), and thus also
%debug, and many other Python calls that expect user input.
$(ipython locate profile)/static/custom/custom.js,css.
%%latexcell magics for writing raw output in notebook cells.
add a redirect handler and anchors on heading cells, so you can link across notebooks, directly to heading cells in other notebooks.
Images support width and height metadata, and thereby 2x scaling (retina support).
_repr_foo_methods can return a tuple of (data, metadata), where metadata is a dict containing metadata about the displayed object. This is used to set size, etc. for retina graphics. To enable retina matplotlib figures, simply set
InlineBackend.figure_format = 'retina'for 2x PNG figures, in your IPython config file or via the
Add display.FileLink and FileLinks for quickly displaying HTML links to local files.
Cells have metadata, which can be edited via cell toolbars. This metadata can be used by external code (e.g. reveal.js or exporters), when examining the notebook.
Fix an issue parsing LaTeX in markdown cells, which required users to type
\\\, instead of
Notebook templates are rendered with Jinja instead of Tornado.
%%filehas been renamed
ANSI (and VT100) color parsing has been improved in both performance and supported values.
The static files path can be found as
IPython.html.DEFAULT_STATIC_FILES_PATH, which may be changed by package managers.
IPython’s CSS is installed in
static/css/style.min.css(all style, including bootstrap), and
static/css/ipython.min.css, which only has IPython’s own CSS. The latter file should be useful for embedding IPython notebooks in other pages, blogs, etc.
The Print View has been removed. Users are encouraged to test ipython nbconvert to generate a static view.
updates to jQuery (2.0) and jQueryUI (1.10)
Update CodeMirror to 3.14
Twitter Bootstrap (2.3) for layout
Font-Awesome (3.1) for icons
highlight.js (7.3) for syntax highlighting
marked (0.2.8) for markdown rendering
Some relevant changes that are results of this:
Markdown cells now support GitHub-flavored Markdown (GFM), which includes
```pythoncode blocks and tables.
Notebook UI behaves better on more screen sizes.
Various code cell input issues have been fixed.
The kernel code has been substantially reorganized.
New features in the kernel:
Kernels support ZeroMQ IPC transport, not just TCP
The message protocol has added a top-level metadata field, used for information about messages.
data_pubmessage that functions much like
display_pub, but publishes raw (usually pickled) data, rather than representations.
sys.stdout.encodingis defined in Kernels.
Stdout from forked subprocesses should be forwarded to frontends (instead of crashing).
The KernelManager has been split into a
KernelManager and a
The Manager owns a kernel and starts / signals / restarts it. There is always zero or one
KernelManager per Kernel. Clients communicate with Kernels via zmq channels,
and there can be zero-to-many Clients connected to a Kernel at any given time.
The KernelManager now automatically restarts the kernel when it dies, rather than requiring user input at the notebook or QtConsole UI (which may or may not exist at restart time).
The Python-language frontends, particularly the Qt console, may now communicate with in-process kernels, in addition to the traditional out-of-process kernels. An in-process kernel permits direct access to the kernel namespace, which is necessary in some applications. It should be understood, however, that the in-process kernel is not robust to bad user input and will block the main (GUI) thread while executing. Developers must decide on a case-by-case basis whether this tradeoff is appropriate for their application.
IPython.parallel has had some refactoring as well. There are many improvements and fixes, but these are the major changes:
Connections have been simplified. All ports and the serialization in use are written to the connection file, rather than the initial two-stage system.
Serialization has been rewritten, fixing many bugs and dramatically improving performance serializing large containers.
Load-balancing scheduler performance with large numbers of tasks has been dramatically improved.
There should be fewer (hopefully zero) false-positives for engine failures.
Increased compatibility with various use cases that produced serialization / argument errors with map, etc.
The controller can attempt to resume operation if it has crashed, by passing
Engines can monitor the Hub heartbeat, and shutdown if the Hub disappears for too long.
add HTCondor support in launchers
Various fixes, including improved performance with lots of text output,
and better drag and drop support.
The initial window size of the qtconsole is now configurable via