This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description
Stochastic Neighbor and Crowd Kernel (SNaCK) embedding
======================================================
Quick and dirty visualization of large-scale datasets via concept embeddings

Installation
============
The following platforms are supported:
- Python 2.7 on Linux
- Binary packages available on Conda
- Source packages available from Pip
- Python 2.7 on OSX
- Binary packages for Yosemite available on Conda
- Source packages available from Pip (Homebrew-GCC required)

Linux: Install from Conda
-------------------------
Just run:
$ conda install -c https://conda.anaconda.org/gcr snack

Mac OS X: Install from Conda
----------------------------
TODO.

Linux: Install from Pip
-----------------------
Just run:
$ pip install snack

You need to install Python 2.7, Numpy, and Cython. You also need a
working compiler, CBLAS, and the Python development headers, which are
installable from your distribution's package manager.

To install SNaCK on a clean Ubuntu Trusty x64 system, run:

# sudo aptitude install \
build-essential \
python-dev \
libblas3 \
libblas-dev \
python-virtualenv
$ virtualenv venv; source venv/bin/activate
$ pip install numpy
$ pip install cython
$ pip install snack

OS X: Install from Pip and Homebrew
-----------------------------------
If you are on Mac OS X, you must install the real "not-clang" version
of gcc because it has OpenMP support. At the time of writing, clang
does not support OpenMP, and Apple has unhelpfully symlinked clang to
`/usr/bin/gcc`. This is not sufficient.

Using Apple-provided GCC is NOT supported. If `gcc-5 --version`
contains the string `clang` anywhere in its output, you do not have
the correct version of gcc.

Using Apple-provided Python is NOT supported.

The recommended installation method on OS X is with Homebrew:

$ brew install gcc
$ brew install python
$ virtualenv venv; source venv/bin/activate
$ pip install numpy
$ pip install cython
$ pip install snack

You may need to edit `setup.py` and change `GCC_VERSION` to point to
the correct version, if you are not using `/usr/local/bin/gcc-5`.


Just build without installing
-----------------------------

To simply build Snack without installing it, run:

$ python setup.py build_ext --inplace

This builds `snack/_snack.so`. You can move the `snack` folder to your
project's directory and then `import snack`. This should work as long
as the `snack` folder is inside your current directory.

How to use
----------

Examples
--------

See also
--------
Release History

Release History

0.0.3

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.0.2

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.0.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
snack-0.0.3.tar.gz (155.7 kB) Copy SHA256 Checksum SHA256 Source Sep 22, 2015

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