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Data visualization (python preferred but not essential):
I have some data which fits into daily chunks nicely for a period of a few months, how may I produce an infographic/calender-type graph analogous to this (found online):
My preferred medium is Python (would htmlCalender suffice?) but anything to accomplish this will be fine.
I would suggest that you take a look at D3.js.
If you look at the examples there is a Calendar View that does something closely to what you want to accomplish.
Another example of a similar calendar visualization is Cal-heatmap.
You will find more libraries with similar concepts if you google for "calendar heatmap".
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I need to identify the songs by human hum. what are the best methodology and algorithm that i can use for achieve that. I search for code samples. But I couldn't find. Please help me....
You could begin a python program that uses tensorflow to deep-learn the correspondence between humming and songs - it should fall under the umbrella initiative by Google Brain called Magenta.
Of course for Deep-Learning you would need to have a large corpus of examples to learn from.
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This weekend I'll be taking around 50 CCD images with my Celestron CPC 8in. telescope and would like to use python to analyzie the images. Does anyone have any experience doing this?
Check out the python wrapper for OpenCV:
http://docs.opencv.org/trunk/doc/py_tutorials/py_tutorials.html
This should provide all the power you need to do any image processing tasks you require.
And there are some great tutorials to help you get started.
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I want to convert an image of a graph (plot) to corresponding data. Is there any python library to do this or maybe some sample code to learn from?
If not, then how do i approach this problem?
You can also use a digitizing software application, to convert graph images to data, that is to numbers. im2graph is free and available for both Linux and Windows. See http://www.im2graph.co.il.
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What is a range query over a kdtree and how is it done by python?
Assuming you are talking about the k-d tree in scipy.spatial, there are a couple of range queries. Which is to say, there are multiple functions that take as their input one or more points and a radius and query the tree for all points within the radius of the query points.
The two most obvious functions are query_ball_point and query_ball_tree.
You can read the source code on github to see how these queries are implemented.
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I'm wondering if I can extract a sequence of musical notes from a recorded sound using Python.
It is the first time I'm considering using Python for this.
Help would be truly awesome :)
What you would want to do is take your audio samples, convert them into the frequency domain with a Fast Fourier Transform (FFT), find the most powerful frequency in the sample, and convert that frequency into a note.
See FFT for Spectrograms in Python for pointers to libraries to help with the first two items. See http://80.68.92.234/sigproc.html for some sample code to get you started.