One place for the most useful methods for work
Project description
podlozhnyy-module
A set of tools to simplify data analysis in particular:
- risk analytics
- time series construction
- classical machine learning
Getting started
Easy installation via pip
$ pip install podlozhnyy-module
For developers
If you would like to contribute to the project yo can do the following
- Create a new virtual environment and activate it (for Windows use:
my_env\Scripts\activate
instead of the last command)
$ python -m venv my_env
$ source my_env/bin/activate
- Copy the repo
$ git clone https://github.com/NPodlozhniy/podlozhnyy-module.git
- Install requirement dependecies for developers
$ pip install -r requirements_dev.txt
- Make changes and then release version to PyPI (use
--repository-url
argument to upload code to test PyPI version)
$ python setup.py sdist bdist_wheel
$ twine upload --repository-url https://test.pypi.org/legacy/ dist/*
- To test the package create another virtual environment and then install library from PyPI using the following command
$ pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple podlozhnyy-module
Project details
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