vandal 2.0.3

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.

2.0.3 (12/10/2021)

• confirmed stabile version after test.