Releases · ipython/ipython

We closed a total of 76 issues, 58 pull requests and 18 regular issues;
this is the full list (generated with the script :file:tools/github_stats.py):

Pull Requests (58):

PR #4188 - Allow user_ns trait to be None
PR #4189 - always fire LOCAL_IPS.extend(PUBLIC_IPS)
PR #4174 - various issues in markdown and rst templates
PR #4178 - add missing data_javascript
PR #4181 - nbconvert: Fix, sphinx template not removing new lines from headers
PR #4043 - don't 'restore_bytes' in from_JSON
PR #4163 - Fix for incorrect default encoding on Windows.
PR #4136 - catch javascript errors in any output
PR #4171 - add nbconvert config file when creating profiles
PR #4125 - Basic exercise of ipython [subcommand] -h and help-all
PR #4085 - nbconvert: Fix sphinx preprocessor date format string for Windows
PR #4159 - don't split .cell and div.cell CSS
PR #4158 - generate choices for --gui configurable from real mapping
PR #4065 - do not include specific css in embedable one
PR #4092 - nbconvert: Fix for unicode html headers, Windows + Python 2.x
PR #4074 - close Client sockets if connection fails
PR #4064 - Store default codemirror mode in only 1 place
PR #4104 - Add way to install MathJax to a particular profile
PR #4144 - help_end transformer shouldn't pick up ? in multiline string
PR #4143 - update example custom.js
PR #4142 - DOC: unwrap openssl line in public_server doc
PR #4141 - add files with a separate add call in backport_pr
PR #4137 - Restore autorestore option for storemagic
PR #4098 - pass profile-dir instead of profile name to Kernel
PR #4120 - support input in Python 2 kernels
PR #4088 - nbconvert: Fix coalescestreams line with incorrect nesting causing strange behavior
PR #4060 - only strip continuation prompts if regular prompts seen first
PR #4132 - Fixed name error bug in function safe_unicode in module py3compat.
PR #4121 - move test_kernel from IPython.zmq to IPython.kernel
PR #4118 - ZMQ heartbeat channel: catch EINTR exceptions and continue.
PR #4054 - use unicode for HTML export
PR #4106 - fix a couple of default block values
PR #4115 - Update docs on declaring a magic function
PR #4101 - restore accidentally removed EngineError
PR #4096 - minor docs changes
PR #4056 - respect pylab_import_all when --pylab specified at the command-line
PR #4091 - Make Qt console banner configurable
PR #4086 - fix missing errno import
PR #4030 - exclude .git in MANIFEST.in
PR #4047 - Use istype() when checking if canned object is a dict
PR #4031 - don't close_fds on Windows
PR #4029 - bson.Binary moved
PR #4035 - Fixed custom jinja2 templates being ignored when setting template_path
PR #4026 - small doc fix in nbconvert
PR #4016 - Fix IPython.start_* functions
PR #4021 - Fix parallel.client.View map() on numpy arrays
PR #4022 - DOC: fix links to matplotlib, notebook docs
PR #4018 - Fix warning when running IPython.kernel tests
PR #4019 - Test skipping without unicode paths
PR #4008 - Transform code before %prun/%%prun runs
PR #4014 - Fix typo in ipapp
PR #3987 - get files list in backport_pr
PR #3974 - nbconvert: Fix app tests on Window7 w/ Python 3.3
PR #3978 - fix --existing with non-localhost IP
PR #3939 - minor checkpoint cleanup
PR #3981 - BF: fix nbconvert rst input prompt spacing
PR #3960 - Don't make sphinx a dependency for importing nbconvert
PR #3973 - logging.Formatter is not new-style in 2.6

Issues (18):

#4024 - nbconvert markdown issues
#4095 - Catch js error in append html in stream/pyerr
#4156 - Specifying --gui=tk at the command line
#3818 - nbconvert can't handle Heading with Chinese characters on Japanese Windows OS.
#4134 - multi-line parser fails on ''' in comment, qtconsole and notebook.
#3998 - sample custom.js needs to be updated
#4078 - StoreMagic.autorestore not working in 1.0.0
#3990 - Buitlin input doesn't work over zmq
#4015 - nbconvert fails to convert all the content of a notebook
#4059 - Issues with Ellipsis literal in Python 3
#4103 - Wrong default argument of DirectView.clear
#4100 - parallel.client.client references undefined error.EngineError
#4005 - IPython.start_kernel doesn't work.
#4020 - IPython parallel map fails on numpy arrays
#3945 - nbconvert: commandline tests fail Win7x64 Py3.3
#3977 - unable to complete remote connections for two-process
#3980 - nbconvert rst output lacks needed blank lines
#3968 - TypeError: super() argument 1 must be type, not classobj (Python 2.6.6)

Assets 8

09 Aug 01:09

minrk

rel-1.0.0

02da31c

IPython 1.0.0

IPython provides a rich toolkit to help you make the most out of using Python
interactively. Its main components are:

Powerful interactive Python shells (terminal- and Qt-based).
A web-based interactive notebook environment with all shell features plus
support for embedded figures, animations and rich media.
Support for interactive data visualization and use of GUI toolkits.
Flexible, embeddable interpreters to load into your own projects.
A high-performance library for high level and interactive parallel computing
that works in multicore systems, clusters, supercomputing and cloud scenarios.

The enhanced interactive Python shells have the following main features:

Comprehensive object introspection.
Input history, persistent across sessions.
Caching of output results during a session with automatically generated
references.
Extensible tab completion, with support by default for completion of python
variables and keywords, filenames and function keywords.
Extensible system of 'magic' commands for controlling the environment and
performing many tasks related either to IPython or the operating system.
A rich configuration system with easy switching between different setups
(simpler than changing $PYTHONSTARTUP environment variables every time).
Session logging and reloading.
Extensible syntax processing for special purpose situations.
Access to the system shell with user-extensible alias system.
Easily embeddable in other Python programs and GUIs.
Integrated access to the pdb debugger and the Python profiler.

The parallel computing architecture has the following main features:

Quickly parallelize Python code from an interactive Python/IPython session.
A flexible and dynamic process model that be deployed on anything from
multicore workstations to supercomputers.
An architecture that supports many different styles of parallelism, from
message passing to task farming.
Both blocking and fully asynchronous interfaces.
High level APIs that enable many things to be parallelized in a few lines
of code.
Share live parallel jobs with other users securely.
Dynamically load balanced task farming system.
Robust error handling in parallel code.

The latest development version is always available from IPython's GitHub
site.

Assets 8

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