Mailman 3 March 2018 - SciPy-Dev

Job prospects and a paying SciPy Dev in Germany?
by Hameer Abbasi March 21, 2018

March 21, 2018

Hello everyone, Sorry to put a personal question into this list (if you feel bothered, please feel free to ignore it or reprimand me), but I couldn't find a better place to ask. I was looking to do development for Numpy/Scipy full-time in Germany, preferably as a PhD candidate but a position at a company works as well. Is anyone aware of any such opportunities in Germany (or the EU at large)? If so, let me know. Hameer Abbasi

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GSOC 2018 [Proposal Feedback]
by Aditya Bharti March 21, 2018

March 21, 2018

Hi all, Goal of this email: To ask for feedback on the draft proposal for GSOC 2018 I am an undergraduate researcher in Computer Vision interested in contributing to scipy's Rotation Formalism in 3 Dimensions project idea as part of GSOC 2018. I've made some contributions to scipy and have drafted a proposal here <https://docs.google.com/document/d/1UriyLABwgjUcYfBofSr4hqAnLzblJ71pkzm7i26…>. [1] It includes my contact information, code samples, project timeline, and an introduction about myself. I went through the proposal guidelines on the website and think I covered all my bases. I would greatly appreciate your feedback on this as it will help me in making a strong application. Thank you, Aditya Bharti [1]: https://docs.google.com/document/d/1UriyLABwgjUcYfBofSr4hqAnLzblJ71pkzm7i26…

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Code Sample In proposal
by Samyak Jain March 20, 2018

March 20, 2018

This is regarding the code sample one must submit in the proposal. What all needs to be there in the code sample? I am working on the Rotation Formalism project.

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releasing SciPy 1.0.1
by Ralf Gommers March 17, 2018

March 17, 2018

Hi all, There are currently 11 PRs tagged for 1.0.1, and especially the recent f2py issue that causes 1.0.0 to not build with NumPy master [1] needs a bugfix release very soon. There are currently no open issues tagged with 1.0.1 - if you know of anything critical, please speak up. I propose to prepare things this weekend, and make the release somewhere in the coming week. Cheers, Ralf [1] https://github.com/scipy/scipy/pull/8530

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vectorized newton proposal
by Mark Alexander Mikofski March 17, 2018

March 17, 2018

Hi all, I've been working on a branch of scipy.optimize.zeros in PR #8357 that uses NumPy to speed up the newton method if the initial guess is not scalar. In benchmarks with arrays of 100,000 elements, the NumPy vectorized code is about 40x faster that looping over the existing code. If you have time, please consider reviewing the PR. Here's some background * If the initial guess is scalar, then the old scalar newton code is used * If the initial guess is *not* scalar then it calls a private method called "_array_newton" * there is a new flag called "failure_idx_flag" that in "_array_newton" appends the indices of failures and indices of zero-derivative items to the return as a tuple of 3 arrays (results, failures, zero-derivatives), otherwise just the results are returned * it only raises a "RuntimeError" if all items fail, otherwise it will always return an array of results, but it warns a "RuntimeWarning" if there are any possibly inaccurate guesses that didn't converge because the derivative was zero (infinite newton step) Thanks, Mark -- Mark Mikofski, PhD (2005) *Fiat Lux*

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Page trying to load scripts from unathenticated sources
by Neal Becker March 16, 2018

March 16, 2018

When I visit e.g., https://docs.scipy.org/doc/scipy-0.19.0/reference/generated/scipy.sparse.cs… with latest chrome-beta, I see the above warning.

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ENH: softmax
by Kulick, Johannes March 15, 2018

March 15, 2018

I just made a PR to include the softmax function into scipy.special. Feel free to review. https://github.com/scipy/scipy/pull/8556 Best Johannes Amazon Development Center Germany GmbH Berlin - Dresden - Aachen main office: Krausenstr. 38, 10117 Berlin Geschaeftsfuehrer: Dr. Ralf Herbrich, Christian Schlaeger Ust-ID: DE289237879 Eingetragen am Amtsgericht Charlottenburg HRB 149173 B

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Pull request: new function cdf2rdf
by Nino Krvavica March 14, 2018

March 14, 2018

Hello everybody, I've submitted a new pull request #8550 ( https://github.com/scipy/scipy/pull/8550) in which I propose adding a cdf2rdf function to scipy.linalg. A function of the same name exists in matlab (https://www.mathworks.com/help/matlab/ref/cdf2rdf.html), and it is used to convert a complex eigenstructure to a real diagonal block form of eigenvalues and associated real eigenvectors. The function was tested for both single arrays and 1e6 stacked arrays, and it works accurately. Any further comments and/or suggestions are welcome. Thank you! Nino ᐧ

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NumPy 1.14.2 released
by Charles R Harris March 12, 2018

March 12, 2018

Hi All, I am pleased to announce the release of NumPy 1.14.2. This is a bugfix release for some bugs reported following the 1.14.1 release. The major problems dealt with are as follows. - Residual bugs in the new array printing functionality. - Regression resulting in a relocation problem with shared library. - Improved PyPy compatibility. This release supports Python 2.7 and 3.4 - 3.6. Wheels for the release are available on PyPI. Source tarballs, zipfiles, release notes, and the changelog are available on github <https://github.com/numpy/numpy/releases/tag/v1.14.2>. The Python 3.6 wheels available from PIP are built with Python 3.6.2 and should be compatible with all previous versions of Python 3.6. The source releases were cythonized with Cython 0.26.1, which is known to *not* support the upcoming Python 3.7 release. People who wish to run Python 3.7 should check out the NumPy repo and try building with the, as yet, unreleased master branch of Cython. Contributors ============ A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Allan Haldane * Charles Harris * Eric Wieser * Pauli Virtanen Pull requests merged ==================== A total of 5 pull requests were merged for this release. * `#10674 <https://github.com/numpy/numpy/pull/10674>`__: BUG: Further back-compat fix for subclassed array repr * `#10725 <https://github.com/numpy/numpy/pull/10725>`__: BUG: dragon4 fractional output mode adds too many trailing zeros * `#10726 <https://github.com/numpy/numpy/pull/10726>`__: BUG: Fix f2py generated code to work on PyPy * `#10727 <https://github.com/numpy/numpy/pull/10727>`__: BUG: Fix missing NPY_VISIBILITY_HIDDEN on npy_longdouble_to_PyLong * `#10729 <https://github.com/numpy/numpy/pull/10729>`__: DOC: Create 1.14.2 notes and changelog. Cheers, Charles Harris

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New email address to avoid SPAM filters
by Mark Alexander Mikofski March 12, 2018

March 12, 2018

Hi All, It's come to my attention that my mailing list emails *may* have been going into your SPAM folders. Perhaps that's by design, but just in case, I've changed my email address to mikofski(a)berkeley.edu (from bwana.marko(a)yahoo.com). If you want or need to find my emails, you can search the February and March, 2018, archives by Author for "Mark Mikofski". Other than my introductions, my other threads were about a proposal to vectorize some of the scipy.optimize.zeros methods using either NumPy or Cython. * intro: https://mail.python.org/pipermail/scipy-dev/2018-February/022448.html * vectorize newton (gh8357): https://mail.python.org/pipermail/scipy-dev/2018-March/022621.html * gh8357: https://github.com/scipy/scipy/pull/8357 * Cythonize optimize.zeros (gh8431): https://github.com/scipy/scipy/pull/8431 I apologize if *this* is the SPAM message. That would be ironic. -- Mark Mikofski, PhD (2005) (510) 862-6891

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