[omaha] January 2017

[Wes Turner]

Additional linear algebra resources from/for
https://wrdrd.com/docs/consulting/data-science#linear-algebra :

Linear Algebra
~~~~~~~~~~~~~~~~https://en.wikipedia.org/wiki/Linear_algebra

* https://www.khanacademy.org/math/linear-algebra
* http://www.ulaff.net/
* https://github.com/ULAFF/notebooks/

 - these are Jupyter (numpy) notebooks from the 2014 ULAFF
schema.org/CourseInstance ; the latest version of the schema:Course is
now in Matlab (with a PDF textbook)

  - "Linear Algebra - Foundations to Frontiers"


- http://docs.scipy.org/doc/numpy/reference/routines.linalg.html
  - https://westurner.org/redditlog/#comment/chxusn9
 ,  - http://www.scipy-lectures.org/intro/numpy/operations.html#broadcasting
(seeAlso Theano Tensor broadcasting)

- http://docs.scipy.org/doc/scipy/reference/tutorial/linalg.html (numpy /
scipy)

- http://www.scipy-lectures.org/advanced/scipy_sparse/solvers.html

- http://docs.sympy.org/dev/modules/matrices/matrices.html (symbols)

-
https://en.wikipedia.org/wiki/SageMath#Software_packages_contained_in_SageMath
- https://wiki.sagemath.org/quickref
  - http://doc.sagemath.org/
    - http://doc.sagemath.org/html/en/reference/index.html#linear-algebra
  - https://cloud.sagemath.com now includes Jupyter Notebook


-
http://scikit-learn.org/stable/modules/computational_performance.html#linear-algebra-libraries
  - BLAS
  - LAPACK
  - Intel MKL
    -
https://www.continuum.io/blog/developer-blog/anaconda-25-release-now-mkl-optimizations
(2016; Anaconda 2.5)

-
http://scikit-learn.org/stable/developers/utilities.html#efficient-linear-algebra-array-operations

- https://en.m.wikipedia.org/wiki/Tensor
  -
http://deeplearning.net/software/theano/tutorial/adding.html#adding-two-matrices
  -
http://deeplearning.net/software/theano/library/tensor/basic.html#libdoc-tensor-broadcastable
  -
https://github.com/donnemartin/data-science-ipython-notebooks#theano-tutorials

  - https://github.com/jtoy/awesome-tensorflow
  -
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/skflow
  -
https://github.com/donnemartin/data-science-ipython-notebooks#tensor-flow-tutorials


On Monday, September 26, 2016, Matt Payne via Omaha <omaha at python.org>
wrote:

> Thanks, I'll check it out.
> On Mon, Sep 26, 2016 at 3:54 PM Brusky, Becky <Becky_Brusky at unigroup.com
> <javascript:;>>
> wrote:
>
> > There is a free academic version that requires it to be downloaded while
> > logged into a university network.  There is also an evaluation license
> that
> > is free to start with.
> >
> >
> > http://www.gurobi.com/downloads/download-center?campaignid=193283256&
> adgroupid=8992998816&creative=49628571816&keyword=%2Bgurobi%
> 20%2Blicense&matchtype=b&gclid=CParu4_yrc8CFRAzaQode1YP4w
> >
> > Note:  If you are on a Mac, use Python 2.7.
> >
> > From: Matt Payne <Payne at mattpayne.org <javascript:;>>
> > Date: Monday, September 26, 2016 at 3:24 PM
> > To: Omaha Python Users Group <omaha at python.org <javascript:;>>
> > Cc: "Brusky, Becky" <Becky_Brusky at unigroup.com <javascript:;>>
> > Subject: Re: [omaha] January 2017
> >
> > Yes, please!  I would love to attend a presentation on linear
> > programming!  Does Gurobi have a free hobbyist edition?   thanks! --Matt
> > Payne
> >
> >
> > On Mon, Sep 26, 2016 at 2:50 PM Brusky, Becky via Omaha <
> omaha at python.org <javascript:;>>
> > wrote:
> >
> >> Steve,
> >>
> >> Bob Haffner mentioned that you are looking for presenters.
> >>
> >> I could do a linear programming with Python and Gurobi presentation.
> I'm
> >> teaching a Mon/Wed class fall quarter, so was thinking December or
> January
> >> could work.
> >>
> >> Becky Brusky
> >> Operation Research Developer
> >> Cell: 402.312.8612
> >> Email: becky_brusky at unigroup.com <javascript:;>
> >>
> >>
> >>
> >>
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