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I would like to know whether there is something equivalent to R-markdown in Python which can help me do reproducible research.
Please note: I'm not interested in IPython Notebooks as an answer.
I want to have the syntactic joy of r-markdown with code in python. I know that one can supply engine="python" in r-markdown and get going but the problem comes when you want to include plots produced using matplotlib in the reproducible doc by simply writing plt.show() where plt is alias to matplotlib.pyplot.
Do you know about any such modules / tools in python which can help me achieve this? I want to use such tools with Spyder / IntelliJ.
I would also like the option similar to echo=FALSE to be present in such a tool.
If no such project exists, then do you guys know about someone / some organization who are working on such a thing.
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I need to import this python project to Unity3d. How can i do that? Based on my search, i see that there are plugins like this. However, i need to perform this tasks without using any plugin? How should i do that, i am experienced in Unity but i have no python experience? Can i get .dlls from python project so that i can use the .dlls in Unity. Or should i do something else?
If someone lead me, i'd appereciate.
I'm not sure if you can. I know that's not what you're looking for, and don't let me discourage you, but start looking for another answer. I've been trying for a while now, and even with plugins the best I could do cost about $40, and that guy spent about a year working on it. Maybe try manually converting it to C#?
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I am teaching art students the basics of Python and it would be very convenient to add some graphics (drawings, pictures, etc.) in the comments within the code instead of "just" code and text comments.
I have seen some friends using Mathematica and exchanging beautiful files that include graphics, comments, pictures, etc.
Does such a thing exists for Python?
Have you looked at the iPython-Notebook? It allows you to write/run code and use html for notes. If you know html it will be easy to add graphics in too. Not sure if that exactly answers your problem, but it is definitely a nice tool
Link: http://ipython.org/notebook.html
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It's quite easy to detect anomalies in time series with this package (only one line of code):
res = AnomalyDetectionTs(raw_data, max_anoms=0.02, direction='both', plot=TRUE)
I was wondering whether there's something similar for Python or not. I couldn't find anything reasonably simple in statsmodel: http://statsmodels.sourceforge.net/devel/tsa.html
Thanks for your interest, we don't currently have a python version of our AnomalyDetection package, though you'd probably be able to get it going using Rpy2: http://rpy.sourceforge.net/
Best,
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I'm looking for a library with Python bindings that can do calculations on SVG paths, such as calculating the length, and finding the coordinates of a point on the paths (ie, say the coordinates of the point 24.4% the length of the path).
Is there something around already?
A C-library would be acceptable as well, as I can easily make my own Python bindings.
OK, so I wrote it, and released it as a library.
http://pypi.python.org/pypi/svg.path
Try 'Inkscape' (IMO the best SVG editor out there), looking at their source code, and see how they do it - and possibly you can reuse their libraries (they have a embedded Python scripting engine too) without much rework.
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I would like to generate Python Expect (pexpect) code automatically, does something like autoexpect exist for pexpect?
I have written one:
https://github.com/ianmiell/autopexpect
which works in very basic form. Please contribute if you can!
Use it much the same way as autoexpect:
./autoexpect
[your session]
[exit session]
./script.py
As with autoexpect, you may need to fiddle with the produced script.
Not really, AFAIK, but you could use expy AKA expectpy, rather than pexpect, if you depend on autoexpect's functionality. There's nothing conceptually standing in the way of implementing a pyautoexpect -- it's just that, as far as I know, nobody's taken the trouble of doing it (since I've never felt a need for autoexpect myself, I'm not really surprised;-).