https://github.com/dkundih/vandal

Data science, Data manipulation and Machine learning library.
https://github.com/dkundih/vandal

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

Last synced: 3 months ago
JSON representation

Data science, Data manipulation and Machine learning library.

• Host: GitHub
• URL: https://github.com/dkundih/vandal
• Owner: dkundih
• License: other
• Created: 2021-08-16T23:47:44.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-12-23T12:49:00.000Z (over 1 year ago)
• Last Synced: 2026-01-12T16:59:52.252Z (3 months ago)
• Topics: data-science, data-visualization, digital-transformation, logistics, logistics-4-0, machine-learning, python, statistics
• Language: Python
• Homepage: https://pypi.org/project/vandal/
• Size: 4.71 MB
• Stars: 8
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
![vandal-header](https://raw.githubusercontent.com/dkundih/vandal/master/_logistics/vandal.jpg)

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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](https://raw.githubusercontent.com/dkundih/vandal/master/_logistics/MCGUI.png)

**Example use**

TERMINAL USE #1

![vandal-terminal1](https://raw.githubusercontent.com/dkundih/vandal/master/_logistics/vandalCLI1.jpg)

TERMINAL USE #2

![vandal-terminal2](https://raw.githubusercontent.com/dkundih/vandal/master/_logistics/vandalCLI2.jpg)

EXAMPLE GRAPH

![vandal-terminal3](https://raw.githubusercontent.com/dkundih/vandal/master/_logistics/vandalCLI3.jpeg)

EXAMPLE OUTPUT

![vandal-terminal4](https://raw.githubusercontent.com/dkundih/vandal/master/_logistics/vandalCLI4.jpg)

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**.

 Hi! :wave:

 



 

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