https://github.com/dkundih/vandal

Data science, Data manipulation and Machine learning library.

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

○
CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
○
.zenodo.json file
○
DOI references
✓
Academic publication links
Links to: researchgate.net
○
Committers with academic emails
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary

Keywords

data-science data-visualization digital-transformation logistics logistics-4-0 machine-learning python statistics

Last synced: 5 months ago · JSON representation

Repository

Data science, Data manipulation and Machine learning library.

Basic Info

Host: GitHub
Owner: dkundih
License: other
Language: Python
Default Branch: master
Homepage: https://pypi.org/project/vandal/
Size: 4.71 MB

Statistics

Stars: 8
Watchers: 1
Forks: 2
Open Issues: 0
Releases: 61

Topics

data-science data-visualization digital-transformation logistics logistics-4-0 machine-learning python statistics

Created over 4 years ago · Last pushed about 1 year ago

Metadata Files

Readme Changelog Funding License

README.md

vandal-header

vandal

Data science, Data manipulation and Machine learning library. Use permitted according to the terms of use and conditions set by the attached license.

Installation

```sh

using pip.

pip install vandal ```

Dependencies

```sh

using pip.

pip install vandal -r requirements.txt ```

GUI applications

vandal provides an option of being run within any terminal as a data science/machine learning application in the form of a GUI.

```sh

terminal app entry choices for GUI apps.

python -m vandal -e montecarlogui / python -m vandal --entry montecarlogui ```

Terminal CLI application

vandal provides an option of being run within any terminal as a data science/machine learning application.

Terminal options

```sh

terminal app options help.

python -m vandal -h / python -m vandal --help ```

```sh

terminal app entry choices.

python -m vandal -e / python -m vandal --entry ```

```sh

terminal app entry example.

python -m vandal -e montecarlo / python -m vandal --entry montecarlo ``` Example use

GUI USE #1 vandal-terminalgui

Example use

TERMINAL USE #1 vandal-terminal1 TERMINAL USE #2 vandal-terminal2 EXAMPLE GRAPH vandal-terminal3 EXAMPLE OUTPUT vandal-terminal4

Python library

vandal functions as a library that can be run in python/jupyter environment and also integrated in other libraries and projects.

Import

```sh

import the library.

import vandal ```

Help

```sh

library help.

print(help(vandal)) ```

```sh

module/object help.

print(help(vandal.MonteCarlo)) ```

Meta data

```sh

meta data (individual).

print(vandal.version) ```

```sh

all meta data.

print(help(vandal.misc._meta)) ```

Library location

```sh

file location after installation.

print(help(vandal.file)) ```

For whom is vandal made for?

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

Why vandal?

As a vandal gives abandoned walls meaning with graffiti, so does vandal library to the data.

A word from the author!

The library itself, its maintenance, updates and stability, logo, videos, promotional materials and everything associated with duality are done by David Kundih from Croatia.