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Classic computer science algorithms in Python

Project description

What is algos-py?

This package contains implementations of some classic computer science algorithms. My main goal is to understand these algorithms and the best way to do that is to implement them myself.

Along the way I practice test driven development (with pytest), continuous integration (with travis and appveyor), coverage tracking (with coveralls and codecov), version control (with git, github and gitlab), documentation (with sphinx and readthedocs) and a lot more.

How to test?

To run all of the unit-tests:

$ pytest -n 2

To run unit-tests for a specific module:

$ pytest ./tests/

To run all the unit-tests and produce a coverage report:

$ pytest -n 2 --cov=src

Where to find?

Primary repository:

Secondary (mirror) repository:

Release procedure:

$ python check --restructuredtext
$ # change version in
$ git add
$ git commit -m "Bump version to 1.0.0"
$ git tag v1.0.0
$ git push origin master && git push origin --tags
$ git push gitlab master && git push gitlab --tags
$ python bdist_wheel
$ twine upload ./dist/algos_py-1.0.0-py3-none-any.whl

Project details

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