vandal 2.0.28

Data science and Machine learning package.


>>> vandal <<<

Data science and Machine learning package developed by David Kundih. Use permitted according to the terms of use and conditions set by the attached license.

>>> For whom is 'vandal' made for? <<<

‘vandal’ is a Python package for Data science and Machine learning, designed to aid researchers and engineers to meet their goals with small effort.

>>> Why 'vandal'? <<<

‘vandal’ disrupts the monotone world of data and gives it meaning.

>>> Is 'vandal' free to use? <<<

‘vandal’ is completely free of charge for both personal and commercial use, but only under the conditions stated in the license. Developing such a complex module isn’t easy and takes a lot of time and knowledge in several fields of science such as statistics, programming and domain knowledge, so any donation at https://patreon.com/dkundih or https://www.buymeacoffee.com/dkundih in order to keep ‘vandal’ free is more than welcome.

>>> Who stands behind 'vandal'? <<<

The module itself, it’s maintenance, updates and stability, logo, videos, promotional materials and everything associated with ‘vandal’ are done by David Kundih from Croatia.

>>> See also: <<<

David Kundih GitHub https://github.com/dkundih

David Kundih PyPi https://pypi.org/user/dkundih

David Kundih ResearchGate https://www.researchgate.net/profile/David-Kundih

CHANGELOG

0.0.1 (03/10/2021) - initial release.

0.0.2 (03/10/2021) - vandal replaces the functionality of the currently discarded alunari python package.

1.1.0 (11/10/2021) - redefined code of hist() function. - added event log that tracks the execution time and duration of functions.

1.1.1 (11/10/2021) - log tracking now applies on all relevant class functions.

2.0.0 (11/10/2021) - vandal transcedents alunari versions by becoming v2+

2.0.1 (12/10/2021) - minor tweaks to CHANGELOG and README - .help() now properly shows requirements of .get_logs() function.

2.0.2+ (12/10/2021) - photo added to the header.