##// END OF EJS Templates
upstream » ipython
RSS

Clone from https://github.com/ipython/ipython.git

Backport PR #8829: Qt5 fix...
Backport PR #8829: Qt5 fix Fix for issue #8757. The problem was that IPython.external.qt was moved to qtconsole.qt, but IPython.external.qt_for_kernel was still trying to import IPython.external.qt. Rather than copying the qt.py file back to external, this PR merges the logic back into qt_for_kernel.py. Deferring to qt.py was a bit silly because both qt.py and qt_for_kernel.py do basically the same thing but in slightly different ways. Moreover, the assumption of qt.py was that if the QT_API environment variable is set, it must be in an ETS environment and need to comply by the ETS import logic. This is not valid, as ipython sets the QT_API environment variable to communicate intent as to Qt version, in `IPython/lib/inputhook.py:385` ...
Paul Ivanov - - Load All Authors

File last commit:

r11729:5cc34183
r21823:e0eb38c1
Show More
history.rst
34 lines | 1.4 KiB | text/x-rst | RstLexer
/ docs / source / about / history.rst
History | Annotation | Raw |Copy content |Copy permalink

History

IPython was starting in 2001 by Fernando Perez while he was a graduate student at the University of Colorado, Boulder. IPython as we know it today grew out of the following three projects:

  • ipython by Fernando Pérez. Fernando began using Python and ipython began as an outgrowth of his desire for things like Mathematica-style prompts, access to previous output (again like Mathematica's % syntax) and a flexible configuration system (something better than :envvar:`PYTHONSTARTUP`).
  • IPP by Janko Hauser. Very well organized, great usability. Had an old help system. IPP was used as the "container" code into which Fernando added the functionality from ipython and LazyPython.
  • LazyPython by Nathan Gray. Simple but very powerful. The quick syntax (auto parens, auto quotes) and verbose/colored tracebacks were all taken from here.

Here is how Fernando describes the early history of IPython:

When I found out about IPP and LazyPython I tried to join all three into a unified system. I thought this could provide a very nice working environment, both for regular programming and scientific computing: shell-like features, IDL/Matlab numerics, Mathematica-type prompt history and great object introspection and help facilities. I think it worked reasonably well, though it was a lot more work than I had initially planned.