setup.py

from setuptools import setup, find_packages
import os

# Handle the long description (read from README.txt, which is created by converting README.md)
long_description = 'TsTables is a Python package to store time series data in HDF5 files using '
'PyTables. It stores time series data into daily partitions and provides functions to query for '
'subsets of data across partitions.\n'
'Its goals are to support a workflow where tons (gigabytes) of time series data are '
'appended periodically to a HDF5 file, and need to be read many times (quickly) for analytical '
'models and research.'

if os.path.exists('README.txt'):
    long_description = open('README.txt').read()

exec(open('src/tstables/_version.py').read())


setup(

    # Package structure
    #
    # find_packages searches through a set of directories 
    # looking for packages
    packages = find_packages('src', exclude = ['*.tests', '*.tests.*', 'tests.*', 'tests']),
    
    # package_dir directive maps package names to directories.
    # package_name:package_directory
    package_dir = {'': 'src'},

    # Not all packages are capable of running in compressed form, 
    # because they may expect to be able to access either source 
    # code or data files as normal operating system files.
    zip_safe = True,

    # Entry points
    #
    # install the executable
    entry_points = {
        'console_scripts': ['tstables_benchmark = tstables.Benchmark:main']
    },

    # Dependencies
    #
    # Dependency expressions have a package name on the left-hand 
    # side, a version on the right-hand side, and a comparison 
    # operator between them, e.g. == exact version, >= this version
    # or higher
    install_requires = ['tables>=3.1.1', 'pandas>=0.13.1'],

    # Tests
    #
    # Tests must be wrapped in a unittest test suite by either a
    # function, a TestCase class or method, or a module or package
    # containing TestCase classes. If the named suite is a package,
    # any submodules and subpackages are recursively added to the
    # overall test suite.
    test_suite = 'tstables.tests.suite',
    # Download dependencies in the current directory
    tests_require = 'docutils >= 0.6',

    name = "tstables",
    version = __version__,

    # metadata for upload to PyPI
    author = "Andy Fiedler",
    author_email = "andy@andyfiedler.com",
    description = "Handles large time series using PyTables and Pandas",
    license = "MIT",
    keywords = "time series high frequency HDF5",
    url = "http://github.com/afiedler/tstables",   # project home page, if any
    long_description = long_description
    # could also include download_url, classifiers, etc.
)