A set of tools to simplify data analysis in particular:

• risk analytics
• time series construction
• classical machine learning

Easy installation via pip

$ pip install podlozhnyy-module

If you would like to contribute to the project yo can do the following

1. 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

2. Copy the repo

$ git clone https://github.com/NPodlozhniy/podlozhnyy-module.git

3. Install requirement dependecies for developers

$ pip install -r requirements_dev.txt

4. 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/*

❗ Important Update ❗ since 2024 PyPi doesn't allow to push without API token, so you need to create one and then push using either .pypirc file, what actually doesn't work for me, or specifying credentials during the call

$ twine upload --repository-url https://test.pypi.org/legacy/ dist/* -u __token__ -p <YOUR TOKEN>

5. 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