Mailman 3 February 2014 - SciPy-Dev

GSoC 2014 : Discrete Wavelet Transforms in Scipy
by Ankit Agrawal Feb. 27, 2014

Feb. 27, 2014

Hi everyone, I am Ankit Agrawal, a 4th year student enrolled in a Dual Degree program(Bachelors + Masters) in Electrical Engineering at IIT Bombay. My Masters specialization is in Communication and Signal Processing, with focus in Machine Learning and Computer Vision. I would like to work on integrating PyWavelets in scipy.signal and then adding more features as mentioned on the ideas page<https://github.com/scipy/scipy/wiki/GSoC-project-ideas#wiki-discrete-wavele…>. I participated in GSoC 2013 with scikit-image where I implemented some Feature Detectors like FAST, Censure(STAR) and Binary Feature Descriptors like BRIEF, ORB and FREAK(in progress). The relevant courses that I have taken in the past are Image Processing, Machine Learning, Computer Vision, Speech Processing, NLP, Wavelets and Filter Banks*, Probabilistic Graphical Models*, Wireless & Mobile Communications* etc.(* - taken this semester). My open source contributions can be seen here<https://github.com/ankit-maverick> . I will get started by fixing some small issues in scipy by this weekend. I haven't used PyWavelets before, but me and my group members are going to use it in the coming weeks in an application assignment for the Wavelets course, which I will try to take as an opportunity to look into its codebase. I would also like to discuss features<https://github.com/scipy/scipy/wiki/GSoC-project-ideas#wiki-discrete-wavele…>to be implemented and some related tickets <https://github.com/scikit-image/scikit-image/issues/602> in detail once I start writing proposal in the next week. If there are other things that I should take a look at, please let me know. Thanks. Regards, Ankit Agrawal, Communication and Signal Processing, IIT Bombay.

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GSoC 2014 Scipy
by SHANTANU SHAHANE Feb. 27, 2014

Feb. 27, 2014

Hello, I am a pre-final year engineering student. I am interested in the project of "improving interpolation capabilities" as a part of GSoC 2014. I have experience of python programming and also, I have studied basic B-spline and other interpolation schemes. I would be grateful if someone could guide me as how to proceed further as in if I need to read some reference or to code some small problem etc. Thanks in advance. Regards: Shantanu Shahane, Fourth Year Undergraduate, Dept. of Mechanical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai-400076 (India). Mobile No.: 9967330927, 9370029097

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help with Fortran + MinGW issue
by Ralf Gommers Feb. 27, 2014

Feb. 27, 2014

Hi all, If anyone wants to have a go at fixing this build issue in Fortran code in scipy.special on Windows (with MinGW), that would be much appreciated: https://github.com/scipy/scipy/issues/3395. This is one of the two remaining blockers for 0.14.0 beta 1 (the other being scipy.sparse issues with older numpy). Ralf

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Qhull Delaunay triangulation "equations" attribute
by Phil Elson Feb. 26, 2014

Feb. 26, 2014

I'm trying to manually construct a Delaunay triangulation for an orthogonal 2d grid as described in http://stackoverflow.com/questions/21888546<http://stackoverflow.com/questions/21888546/regularly-spaced-orthogonal-gri…>and wonder if anybody can help provide some interpretation of the "equations" values of a scipy.spatial.Delaunay instance. Essentially I'm working off the premise that it is possible to construct a Delaunay triangulation from a regular grid without going through the expensive triangulation stage, does anybody know if that is true or not? Many thanks for any advice you might have, Phil

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ANN: SfePy 2014.1
by Robert Cimrman Feb. 25, 2014

Feb. 25, 2014

I am pleased to announce release 2014.1 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method. The code is based on NumPy and SciPy packages. It is distributed under the new BSD license. Home page: http://sfepy.org Mailing list: http://groups.google.com/group/sfepy-devel Git (source) repository, issue tracker, wiki: http://github.com/sfepy Highlights of this release -------------------------- - sfepy.fem was split to separate FEM-specific and general modules - lower memory usage by creating active DOF connectivities directly from field connectivities - new handling of field and variable shapes - clean up: many obsolete modules were removed, all module names follow naming conventions For full release notes see http://docs.sfepy.org/doc/release_notes.html#id1 (rather long and technical). Best regards, Robert Cimrman and Contributors (*) (*) Contributors to this release (alphabetical order): Vladimír Lukeš, Matyáš Novák, Jaroslav Vondřejc

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request for review: access SuperLU L and U factors
by Ralf Gommers Feb. 24, 2014

Feb. 24, 2014

Hi, If there's an expert/user of SuperLU that would be interested to review this PR that would be useful: https://github.com/scipy/scipy/pull/3375. The PR adds access to the L and U factors that were previously hidden. This PR could still go into 0.14.x. Ralf

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guidance
by Aditya Shah Feb. 23, 2014

Feb. 23, 2014

Hi, I am Aditya Shah and I am currently pursuing computer science at BITS-Pilani university. I am in the third year and have covered dsa course. I want to work on scipy for GSOC 2014. Can anyone please guide me on the process? Thanks, Aditya Shah -- Regards, Aditya Shah Undergraduate Student B.E.(Hons) Computer Science BITS Pilani K. K. Birla Goa Campus

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About Google Summer of Code
by Richard Tsai Feb. 23, 2014

Feb. 23, 2014

Hi everyone, I've just noticed that neither NumPy or SciPy is listed on Python's GSoC page (https://wiki.python.org/moin/SummerOfCode/2014 ). Is SciPy/NumPy going to apply for it? I'm a student and I want to participate in GSoC this year. Thanks! -- Richard Tsai

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unexpected result by hyp2f1
by Jennifer stone Feb. 23, 2014

Feb. 23, 2014

The hyp2f1 function at present, fails without warning for the following case: c<0 |c|>>|a| and |b| For example: sp.hyp2f1(10,5,-300.5,0.5) >>-6.5184949735e+156 while the answer is -3.8520770815e+32

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A PEP for adding infix matrix multiply to Python
by Nathaniel Smith Feb. 23, 2014

Feb. 23, 2014

[Apologies for wide distribution -- please direct followups to either the github PR linked below, or else numpy-discussion(a)scipy.org] After the numpy-discussion thread about np.matrix a week or so back, I got curious and read the old PEPs that attempted to add better matrix/elementwise operators to Python. http://legacy.python.org/dev/peps/pep-0211/ http://legacy.python.org/dev/peps/pep-0225/ And I was a bit surprised -- if I were BDFL I probably would have rejected these PEPs too. One is actually a proposal to make itertools.product into an infix operator, which no-one would consider seriously on its own merits. And the other adds a whole pile of weirdly spelled new operators with no clear idea about what they should do. But it seems to me that at this point, with the benefit of multiple years more experience, we know much better what we want -- basically, just a nice clean infix op for matrix multiplication. And that just asking for this directly, and explaining clearly why we want it, is something that hasn't been tried. So maybe we should try and see what happens. As a starting point for discussion, I wrote a draft. It can be read and commented on here: https://github.com/numpy/numpy/pull/4351 It's important that if we're going to do this at all, we do it right, and that means being able to honestly say that this document represents our consensus when going to python-dev. So if you think you might object please do so now :-) -n -- Nathaniel J. Smith Postdoctoral researcher - Informatics - University of Edinburgh http://vorpus.org

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