PrivacyScanData/ML/Machine_Learning_and_Having_It_Deep_and_Structured/requirements.txt

# Code coverage measurement for Python
# https://pypi.python.org/pypi/coverage/4.0.3
coverage==4.0.3

# pytest: simple powerful testing with Python
# https://pypi.python.org/pypi/pytest/2.9.2
pytest==2.9.2

# Pytest plugin for measuring coverage.
# https://pypi.python.org/pypi/pytest-cov/2.2.0
pytest-cov==2.2.0

# the modular source code checker: pep8, pyflakes and co
# https://pypi.python.org/pypi/flake8/2.5.4
flake8==2.5.4

# NumPy: array processing for numbers, strings, records, and objects.
# https://pypi.python.org/pypi/numpy
numpy==1.11.1

# Powerful data structures for data analysis, time series,and statistics
# https://pypi.python.org/pypi/pandas/0.18.1
pandas==0.18.1

# SciPy: a ecosystem of open-source software for mathematics, science, and engineering.
# https://pypi.python.org/pypi/scipy/0.18.0rc2
scipy==0.18.0

# nose extends unittest to make testing easier
# https://pypi.python.org/pypi/nose/1.3.7
nose==1.3.7

# Theano: define, optimize, and efficiently evaluate  multi-dimensional arrays
# https://pypi.python.org/pypi/Theano
theano==0.8.2