%global _empty_manifest_terminate_build 0
Name: python-vandal
Version: 4.0.9
Release: 1
Summary: Data science, Data manipulation and Machine learning library.
License: Apache Software License
URL: http://github.com/dkundih/vandal
Source0: https://mirrors.aliyun.com/pypi/web/packages/1e/15/9bbc30dcd1c60db1fa8c7c5192decdeea76c591b082ab9917a92c2334110/vandal-4.0.9.tar.gz
BuildArch: noarch
%description
Data science, Data manipulation and Machine learning library.
Use permitted according to the terms of use and conditions set by the attached license.
**Example of use**
Visit my Data Library at https://github.com/dkundih/DataLibrary in order to see the demonstration of use in practical examples.
**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**
TERMINAL USE #1
**Example use**
TERMINAL USE #1
TERMINAL USE #2
EXAMPLE GRAPH
EXAMPLE OUTPUT
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.
**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 library 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.
**A word from the author!**
The library itself, it's maintenance, updates and stability, logo, videos, promotional materials and everything associated with duality are done by **David Kundih** from **Croatia**.
Hi! :wave:
My name is David Kundih and I am a Master of Engineering in Sustainable Mobility and Logistics, currently specializing in Digital Transformation of Traffic and Logistics using Python, JavaScript, HTML and CSS.
My latest projects:
promet-kc
vandal
duality
logistics
unin
People shine the brightest when they seek to understand what kind of love sustains them.
%package -n python3-vandal
Summary: Data science, Data manipulation and Machine learning library.
Provides: python-vandal
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-vandal
Data science, Data manipulation and Machine learning library.
Use permitted according to the terms of use and conditions set by the attached license.
**Example of use**
Visit my Data Library at https://github.com/dkundih/DataLibrary in order to see the demonstration of use in practical examples.
**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**
TERMINAL USE #1
**Example use**
TERMINAL USE #1
TERMINAL USE #2
EXAMPLE GRAPH
EXAMPLE OUTPUT
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.
**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 library 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.
**A word from the author!**
The library itself, it's maintenance, updates and stability, logo, videos, promotional materials and everything associated with duality are done by **David Kundih** from **Croatia**.
Hi! :wave:
My name is David Kundih and I am a Master of Engineering in Sustainable Mobility and Logistics, currently specializing in Digital Transformation of Traffic and Logistics using Python, JavaScript, HTML and CSS.
My latest projects:
promet-kc
vandal
duality
logistics
unin
People shine the brightest when they seek to understand what kind of love sustains them.
%package help
Summary: Development documents and examples for vandal
Provides: python3-vandal-doc
%description help
Data science, Data manipulation and Machine learning library.
Use permitted according to the terms of use and conditions set by the attached license.
**Example of use**
Visit my Data Library at https://github.com/dkundih/DataLibrary in order to see the demonstration of use in practical examples.
**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**
TERMINAL USE #1
**Example use**
TERMINAL USE #1
TERMINAL USE #2
EXAMPLE GRAPH
EXAMPLE OUTPUT
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.
**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 library 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.
**A word from the author!**
The library itself, it's maintenance, updates and stability, logo, videos, promotional materials and everything associated with duality are done by **David Kundih** from **Croatia**.
Hi! :wave:
My name is David Kundih and I am a Master of Engineering in Sustainable Mobility and Logistics, currently specializing in Digital Transformation of Traffic and Logistics using Python, JavaScript, HTML and CSS.
My latest projects:
promet-kc
vandal
duality
logistics
unin
People shine the brightest when they seek to understand what kind of love sustains them.
%prep
%autosetup -n vandal-4.0.9
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-vandal -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot - 4.0.9-1
- Package Spec generated