.. _talks:

=======
 Talks
=======

Some talks and presentations, in reverse chronological order (don't be
surprised to find repeated material/slides as the topics do overlap):

`IPython & StarCluster: Scalable Cloud Computing for the rest of us(a Qiime
illustration) <1204_nih_cloud_ipython.pdf>`_
    Short slides introducing a demo presented at the NIH cloud workshop.

`IPython: Python at your fingertips <1203_ipython_pycon.pdf>`_
    Talk delivered at the PyCon 2012 conference in Santa Clara, CA.  It
    combines a rapid overview of the IPython project with hands-on demos using
    the new HTML notebook interface.  This is the full video:

.. raw:: html

   <div align="center"> <iframe title="YouTube video player2" width="600"
   height="390" src="http://www.youtube.com/embed/26wgEsg9Mcc" frameborder="0"
   allowfullscreen></iframe></div>


`Ten years of (interactive) scientific Python <1108_euroscipy_keynote.pdf>`_
    August 2011, the slides for my keynote presentation at EuroSciPy (I don't
    have video available).  Many thanks to the awesome organizing team, in
    particular `Gaël Varoquaux <http://gael-varoquaux.info>`_ and `Emanuelle
    Gouillart
    <http://www.svi.cnrs-bellevue.fr/wikimedia/index.php/Emmanuelle_Gouillart>`_
    for the invitation, hospitality, and amazing work they've done with
    EuroSciPy and Scientific Python in general.

`Python: a view from the floating-point side <1103_uwashington.pdf>`_
    March 2011, a talk presented at the `Sage Days 29`_ workshop, on the use of
    python for numerical work, with some historical personal background.

    William Stein recorded the talk and posted it online, as well as posting
    `some pictures from the last day`_ (for those who have asked, the anecdote
    about how I unplugged Colombia from the internet when I was a physics
    undergrad is from 0:11:20 to 0:14:12):

.. raw:: html

   <div align="center"> <iframe title="YouTube video player" width="600"
   height="390" src="http://www.youtube.com/embed/1j_HxD4iLn8" frameborder="0"
   allowfullscreen></iframe></div>

.. _sage days 29: http://wiki.sagemath.org/days29
.. _some pictures from the last day: http://www.facebook.com/album.php?aid=296597&id=504538681&l=399cb27a8c

`Reproducible software vs. reproducible research <1102_aaas_reproducibility_fperez_slides.pdf>`_
    February 2011, a talk presented at the panel_ titled *The Digitization of
    Science: Reproducibility and Interdisciplinary Knowledge Transfer*, during
    the 2011 annual meeting of the AAAS.  An `extended abstract`_ is available
    that spells out some of the ideas I presented in the talk; I hope to
    complete this writeup into something a little more formal soon.

.. _panel: http://aaas.confex.com/aaas/2011/webprogram/Session3166.html
.. _extended abstract: 1102_aaas_reproducibility_fperez_extabs.pdf


`IPython: beyond the simple shell <1012_scipy_india.pdf>`_
    December 2010, invited talk at the SciPy India 2010 conference.  A longer
    overview of the IPython project, from its start to the recent developments.

`IPython: a quick overview <1010_ipython_overview.pdf>`_
    October 2010, short summary of the state of the IPython project.
    
`Python: performance and parallelism <1011_berkeley_cse.pdf>`_
    November 2010, guest lecture delivered for UC Berkeley's *CSE: Science
    Research Computing with Python* (CCN 06180) graduate course.
    
`The state of IPython <0908_scipy_state_ipython.pdf>`_
    August 2009, a short update on the project, delivered as a lightning talk
    at the `SciPy'09 conference`__.

__ scipy_conference_

`Data Arrays: Name that axis! <0908_scipy_data_arrays.pdf>`_
    August 2009, a short talk about an idea I am working on, to add named axis
    support to NumPy nd-arrays (another SciPy'09 lightning talk).  The code for
    this project is `available on github`__.

__ datarray_

`Python and parallel computing: an overview <0904_parlab_scipy.pdf>`_
    April 2009, delivered at the UC Berkeley ParLab_.

`Python & Scientific Computing: Leading the charge for open source, high-level tools <0811_baypig_scipy.pdf>`_
    November 2008, presented at the Bay Area Python Interest Group meeting held
    at Google's Mountain View campus.

`An overview of Python's role in scientific computing today <0807_siam_intro_python_scicomp.pdf>`_
    July 2008, presented at the `annual SIAM meeting in San Diego
    <http://www.ams.org/ams/siam-2008.html#python>`_ (see `my blog
    <http://fdoperez.blogspot.com/2008/07/python-tools-for-science-go-to-siam.html>`_
    for details on our minisymposium there).

`Some reflections on modern algorithms research <0710_nsf.pdf>`_
    October 2007, NSF headquarters, CDI program launch meeting, Washington DC.

`Python for scientific computing, an introductory overview <0708_ncar_intro_python_scicomp.pdf>`_
    August 2007, NCAR (National Center for Atmospheric Research), Boulder, CO.

`Physics, mathematics and computers (Better algorithms + better tools: better science) <0705_berkeley.pdf>`_
    May 2007, University of California, Berkeley.
    
`Physics, algorithms and computers (A short tour of a few things I've done) <0704_tradelink.pdf>`_
    April 2007, TL, Chicago.

`Adaptive application of Green's functions (Fast algorithms for integral transforms) <0704_umich.pdf>`_
    April 2007, University of Michigan at Ann Arbor.

`IPython: getting the most out of working interactively in Python <0702_pycon_ipython.pdf>`_
    February 2007, PyCon'07, Addison, Texas (talk presented by my colleague and
    friend Brian Granger).

`Multiwavelets, gaussians and Green's functions: a new kind of fast algorithms for PDEs <0609_colostate.pdf>`_
    September 2006, Colorado State University, Fort Collins.
    
`Python for scientific algorithm development <0608_scipy_algorithms.pdf>`_
    August 2006, SciPy'06, Caltech, Pasadena, CA.

`Multiwavelets, Gaussians and Green's functions <0604_sanum_mwadap.pdf>`_
    April 2006, SANUM'06, University of Stellenbosch, Stellenbosch, South Africa.

`Interactive scientific computing environments <0602_ipython_sage.pdf>`_
    February 2006, Sage Days, University of California, San Diego.

`Python in scientific computing (an illustration with multiwavelets for PDEs) <0411_python_scicomp.pdf>`_
    November 2004, Colorado School of Mines, Golden.

`Green's functions in many dimensions and multiwavelets (Python for a new class of fast algorithms) <0409_scipy04_mwadap.pdf>`_
    September 2004, SciPy'04, Caltech, Pasadena, CA.

`Interactive work in Python (IPython's present and future) <0409_scipy04_ipython.pdf>`_
    September 2004, SciPy'04, Caltech, Pasadena, CA.

`IPython: an enhanced interactive Python <0309_scipy03_ipython.pdf>`_
    September 2003, SciPy'03, Caltech, Pasadena, CA.

`Instanton correlations in the finite temperature QCD vacuum <0211_inst_molec.pdf>`_
    November 2002, University of Colorado, Boulder.

`Speeding up Python with C/C++ <0204_python-c.pdf>`_
    April 2002, Front Range Python Users Group, Boulder, CO.

`Particles, fields and computers: the building blocks of nature and their numerical study <0012_intro-particlephys.pdf>`_
    December 2000, Colorado College, Colorado Springs.

`Instanton molecules in finite temperature QCD? <0004_inst_molec.pdf>`_
    April 2000, University of Colorado, Boulder.

`A semi-classical approach for Lyapunov exponents of a quantum mechanical system <9806_qchaos_lyap.pdf>`_
    June 1998,  University of Colorado, Boulder.
    

.. include:: links.txt