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2014-06-29 03:14:48 +0200	marked best answer	Using sage for slideshows/presentations I was wondering what the current best way is to make a presentation using the sage notebook. Do you just make a normal notebook with white-space separated "slides" and then just scroll through it? In this thread at sage-notebook, William mentioned that he had implemented a slideshow mode, but it wasn't good enough to include to the main sage branch. I've heard it said that the linear nature of the notebook makes it difficult to make a slideshow presentation. Mathematica suffers from the same problem, but gets around it by having a `SlideShowNavigationBar` cell to group a slide together. Also instiki can support slides on top of its normal linear wiki/web page structure. Is there any current work on adding slideshow support to the sage notebook?
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2011-12-14 04:30:11 +0200	answered a question	How to multiply vector by number This behaviour is part of Python (the following code is evaluated in the standard python shell, although it should also work in sage or a sage notebook): `>>> W = [1, 8, 4, 7, 10, 1, 6, 3] >>> 2W [1, 8, 4, 7, 10, 1, 6, 3, 1, 8, 4, 7, 10, 1, 6, 3]` The standard thing to do is to either use list comprehension `>>> [3i for i in W] [3, 24, 12, 21, 30, 3, 18, 9]` or map (for a comparison, see http://stackoverflow.com/q/1247486/42...) `>>> map(lambda i: 3i, W) [3, 24, 12, 21, 30, 3, 18, 9]` Although, if you're using just numerical lists and are used to matlab, then maybe you should use numpy: `>>> import numpy >>> npW = numpy.array(W) >>> npW3 array([ 3, 24, 12, 21, 30, 3, 18, 9])` For large arrays, NumPy will be faster at this type of operation than the pythonic methods above. For a discussion of NumPy in sage see http://www.sagemath.org/doc/numerical... Of course, the standard sage approach is to use a vector object (see Laurent's answer)
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2011-09-25 21:07:11 +0200	commented answer	Mathematica graphics in a sage notebook It is relevant and useful. I knew how to add images into a text/html cell, but I had never used the data menu before. Thanks!
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2011-09-21 21:01:51 +0200	answered a question	Mathematica graphics in a sage notebook Actually, following kcrisman's hint and looking at the sage-notebook thread, it turns out that it's already implemented and so really easy! In SAGE_ROOT/devel/sage/sage/interfaces/mathematica.py you find the `show()` function `def show(self, filename=None, ImageSize=600): r""" Show a mathematica expression or plot in the Sage notebook. EXAMPLES:: sage: P = mathematica('Plot[Sin[x],{x,-2Pi,4Pi}]') # optional - mathematica sage: show(P) # optional - mathematica sage: P.show(ImageSize=800) # optional - mathematica sage: Q = mathematica('Sin[x Cos[y]]/Sqrt[1-x^2]') # optional - mathematica sage: show(Q) # optional - mathematica <html><div class="math">\frac{\sin (x \cos (y))}{\sqrt{1-x^2}}</div></html> """` that does exactly what I wanted.
2011-09-21 20:59:33 +0200	commented answer	Mathematica graphics in a sage notebook Thanks kcrisman - the thread you linked to shows that what I want is already implemented! See my answer.
2011-09-21 00:33:54 +0200	asked a question	Mathematica graphics in a sage notebook Is there an easy way to get Mathematica graphics into a sage notebook? I have a notebook where I want to compare the Mathematica way of doing things and the related graphics to the sage way and its graphics. The naive ways of doing it do not work: `%mathematica Plot[Sin[x],{x,-4,4}]` just produces `-Graphics-` While `mathematica('Plot[Sin[x],{x,-4,4}]')` returns the `InputForm` of the graphics, i.e., `Graphics[{{{}, {}, {Hue[0.67, 0.6, 0.6], Line[{<<long list of points>>}], <<some graphics options>>]` There's three work-arounds I can currently think of. Export the graphics from Mathematica using: `Export["file.png", graphics]` and import it back into sage - but I couldn't find an image import function in sage... Use the JavaGraphics Mathematica package: So but this puts the graphics object in a separate window (not in the sage notebook). Extract the graphics data and feed it into a sage plotting function, e.g. `list_plot(mathematica('Plot[Sin[x], {x, -4, 4}][[1, 1, 3, 2, 1]]').sage(), plotjoined = true)` which does what I want, but is a little cumbersome - especially for more complicated graphics.
2011-08-31 07:43:59 +0200	commented question	Drop down menus in Sage @niles: I see that there was "minimal" discussion for your post https://groups.google.com/forum/#!topic/sage-devel/nC4oSv8fyw8/discussion on sage-devel... I've sent some "feedback" via the feedback form to try to get some attention. (btw, can't wait until ASKBOT gets markdown for the comments... http://askbot.org/en/question/348/links-in-comments)
2011-08-23 23:43:36 +0200	commented question	Drop down menus in Sage @niles: I know it's kind of obvious by looking at the questions, but maybe the about page (http://ask.sagemath.org/about/) should be completed to make it completely clear what this site is about. The FAQ (http://ask.sagemath.org/faq/) also doesn't mention that this is about the mathematics software sage (http://www.sagemath.org/)...
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2011-07-20 02:14:12 +0200	commented answer	specify resolution of saved graphic Not a problem @Bill! Although you don't have to give me the checkmark just yet - someone more knowledgeable might come along and give an answer that actually works as expected.
2011-07-19 22:27:12 +0200	commented answer	specify resolution of saved graphic @Bill: Yeah, as I said - it doesn't quite work the way it should... I'm not sure why. I'm not an expert on sage graphics nor matplotlib, so it might take a lot of digging in the code to track down what's going on.
2011-07-19 06:29:24 +0200	edited answer	specify resolution of saved graphic I think that there are two options for `plot()` that can also be passed to `save()`. These are `figsize` in inches and `dpi` - the product of which (should) give the resolution of the image (although it doesn't seem to quite come out that way...). `sage: p = plot(sin, (0, 2pi)); p` `sage: print p.SHOW_OPTIONS['figsize'], p.SHOW_OPTIONS['dpi'] (6, 3.7082039324993699) 100 sage: p.save(os.path.expanduser('~/sin.default.png')) sage: p.save(os.path.expanduser('~/sin.20.png'),dpi=20)` `sin.default.png` comes out at `506316` pixels and 12.5KB, while `sin.20.png` is just `101*64` pixels and 1.8KB. Actually if you look at `sage: print p.matplotlib() Figure(480x296.656)` This basically matches the size of the outputted `png` file once you remove the padding.