Python Package for exploratory data analysis in Data Science
Project description
python-package-boilerplate
Boilerplate for a Python Package
Package
Basic structure of package is
├── README.md
├── packagename
│ ├── __init__.py
│ ├── packagename.py
│ └── version.py
├── pytest.ini
├── requirements.txt
├── setup.py
└── tests
├── __init__.py
├── helpers
│ ├── __init__.py
│ └── my_helper.py
├── tests_helper.py
└── unit
├── __init__.py
├── test_example.py
└── test_version.py
Requirements
Package requirements are handled using pip. To install them do
pip install -r requirements.txt
Tests
Testing is set up using pytest and coverage is handled with the pytest-cov plugin.
Run your tests with py.test in the root directory.
Coverage is ran by default and is set in the pytest.ini file.
To see an html output of coverage open htmlcov/index.html after running the tests.
Travis CI
There is a .travis.yml file that is set up to run your tests for python 2.7
and python 3.2, should you choose to use it.
Project details
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- Tags: Python 3
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