Comments (5)
I have these:
@jkitzes put together some NumPy and matplotlib tutorials for our Berkeley boot camps last October, they can be found here: https://github.com/swcarpentry/2012-10-ucb/tree/master/2-PythonIntro.
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On Sun, Jan 27, 2013 at 06:47:02PM -0800, Edmund Hart wrote:
Ethan and I are considering including Numpy in our workshop in a
week. Does anyone have any curriculum they could share?
From the things mentioned previously on this list, I see Ethan's Numpy
tutorial 1 and his sci_programming.ipynb 2. There's also Justin's
Numpy notebook [3,4], and Konrad's Numpy slides 5.
https://github.com/weecology/progbio/
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In addition, for anyone who's looking to teach some very basic numpy in a more integrated manner with basic Python, there's also my notebook below from the Scripps workshop, which follows Greg's taxonomy of the major elements of all programming languages - see http://software-carpentry.org/blog/2012/08/applying-pedagogical-principles-in-this-course.html.
Note that there's also a version for the students that doesn't have all of the answers filled in already -
https://github.com/swcarpentry/2012-11-scripps/blob/master/python/python-full.ipynb
Justin
On Jan 27, 2013, at 7:22 PM, W. Trevor King [email protected] wrote:
On Sun, Jan 27, 2013 at 06:47:02PM -0800, Edmund Hart wrote:
Ethan and I are considering including Numpy in our workshop in a
week. Does anyone have any curriculum they could share?From the things mentioned previously on this list, I see Ethan's Numpy
tutorial 1 and his sci_programming.ipynb [2]. There's also Justin's
Numpy notebook [3,4], and Konrad's Numpy slides [5].https://github.com/weecology/progbio/
[2]: https://github.com/swcarpentry/boot-camps/blob/2012-11-unc/ScientificPython/sci_programming.ipynb
[3]: https://github.com/swcarpentry/boot-camps/blob/2012-10-ucb/2-PythonIntro/numpy-tutorial.ipynb
[4]: https://github.com/swcarpentry/boot-camps/blob/2012-10-caltech/2-PythonIntro/numpy-tutorial.ipynb
[5]: https://github.com/swcarpentry/boot-camps/blob/2012-06-inria/Numpy/NumPy.pdf
—
Reply to this email directly or view it on GitHub.
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I ran across this also, and the author was nice enough to CC-BY his stuff so we're free to use it with attribution: https://github.com/jrjohansson/scientific-python-lectures
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Now that there is a python/numpy
section in master
(since #18), I think this is ok to close.
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