electric-indent has been activated by default in emacs 24
to disable it for Python: (add-hook 'python-mode-hook (lambda () (set (make-local-variable 'electric-indent-functions) (list (lambda (arg) 'no-indent)))))
VirtualTam's bookmarks
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2015-02-11 -
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2015-02-07 Very cool & detailed tutorial on how to setup Emacs for Python editing, completion & execution.
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2015-01-06 -
2015-01-04 DIsplay code coverage stats
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2015-01-04 Includes support for Coverage, Xunit and other cool stuff ;-) Oh, and there is parallel testing, too \o/
nosetests --with-coverage --cover-erase --cover-tests --cover-html --cover-html-dir=htmlcov --with-xunit --xunit-file=unit.xml
via http://www.alexconrad.org/2011/10/jenkins-and-python.html
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2014-12-14 -
2014-12-02 -
2014-11-30 A follow-up to Mark Pilgrim's http://www.diveintopython.net/
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2014-11-27 http://ilovesymposia.com/2014/10/01/continuous-integration-0-automated-tests-with-pytest/ http://ilovesymposia.com/2014/10/02/continuous-integration-1-test-coverage/ http://ilovesymposia.com/2014/10/13/continuous-integration-in-python-3-set-up-your-test-configuration-files/ http://ilovesymposia.com/2014/10/15/continuous-integration-in-python-4-set-up-travis-ci/ http://ilovesymposia.com/2014/10/15/continuous-integration-in-python-5-report-test-coverage-using-coveralls/ http://ilovesymposia.com/2014/10/17/continuous-integration-in-python-6-show-off-your-work/ http://ilovesymposia.com/2014/10/27/continuous-integration-in-python-7-some-helper-tools-and-final-thoughts/
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Uses a project or repository's history to plot user contributions, displaying an elegant, colored graph of the file arborescence.
After running it on quite different projects...
- Python/Bash CI/Jenkins scripts
- Qt apps: GoldenDict, Psi+
- PHP website: Shaarli
...watching some vids on teh intartubez:
- Minecraft: https://www.youtube.com/watch?v=zRjTyRly5WA
- Linux kernel: https://www.youtube.com/watch?v=AhDiYPLo3p4
- Python: https://www.youtube.com/watch?v=cNBtDstOTmA
It allows to arbitrary spot some interesting implementation aspects (sorted by descending impact):
- language-dependent trees (oh hai Java packages ^^)
- framework-dependent trees
- project-management method (none, Agile, TDD)
Having a graphical tool also quickly shows:
- the overall structure of the project (a bit cooler than a simple $ tree, way quicker than loading the project on an IDE)
- the repartition of files (by extensions)
- who are the most active contributors
- what are the most modified files over time
- who does what: additions, deletions, refactoring
Some more CI-related matters:
- are there any tests?
- what is the source code / test code ratio? (we could expect a project/lib with N modules to have at least N test modules)
- who initiates / implements / optimizes test code?
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2014-11-24 -
2014-11-24 -
2014-11-24 -
2014-11-21 -
2014-11-17 Plenty of fun tasks, riddles and puzzles to solve altogether with learning Python!
Get ready for:
- basic Python exercises (data structures, language features, common libraries)
- a handful exercises on string and data processing
- algorithmics! pathfinding, map exploration, optimization...
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2014-11-17