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|
%global _empty_manifest_terminate_build 0
Name: python-SoSciKit
Version: 0.4.0
Release: 1
Summary: Social Science Kit - Open Source Software for Social Science
License: MIT
URL: https://github.com/scarsellifi/soscikit
Source0: https://mirrors.aliyun.com/pypi/web/packages/99/a8/d3202b10d4dc20403d06c172dde359fd3564d6a2fb3d982e6889b4657504/SoSciKit-0.4.0.tar.gz
BuildArch: noarch
Requires: python3-altair
Requires: python3-flask
Requires: python3-jupyter
Requires: python3-matplotlib
Requires: python3-numpy
Requires: python3-openpyxl
Requires: python3-pandas
Requires: python3-pandas-profiling
Requires: python3-scipy
Requires: python3-seaborn
Requires: python3-uuid
Requires: python3-xlrd
%description
# SoSciKit
## Social Science Kit - Open Source Software for Social Science
SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
[](https://pepy.tech/project/soscikit)
[](https://pepy.tech/project/soscikit/week)
## Installation and dependencies
You need a python interpeter installed on PC / Server.
You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
### Using pip
You can install using the pip package manager by running
pip3.x install soscikit
## Usage
You can start SoScikit by running
python3.x -m soscikit
it's start server and open your browser on localhost http://127.0.0.1:5555/
## How to contribute
The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
## Demo
You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
%package -n python3-SoSciKit
Summary: Social Science Kit - Open Source Software for Social Science
Provides: python-SoSciKit
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-SoSciKit
# SoSciKit
## Social Science Kit - Open Source Software for Social Science
SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
[](https://pepy.tech/project/soscikit)
[](https://pepy.tech/project/soscikit/week)
## Installation and dependencies
You need a python interpeter installed on PC / Server.
You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
### Using pip
You can install using the pip package manager by running
pip3.x install soscikit
## Usage
You can start SoScikit by running
python3.x -m soscikit
it's start server and open your browser on localhost http://127.0.0.1:5555/
## How to contribute
The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
## Demo
You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
%package help
Summary: Development documents and examples for SoSciKit
Provides: python3-SoSciKit-doc
%description help
# SoSciKit
## Social Science Kit - Open Source Software for Social Science
SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
[](https://pepy.tech/project/soscikit)
[](https://pepy.tech/project/soscikit/week)
## Installation and dependencies
You need a python interpeter installed on PC / Server.
You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
### Using pip
You can install using the pip package manager by running
pip3.x install soscikit
## Usage
You can start SoScikit by running
python3.x -m soscikit
it's start server and open your browser on localhost http://127.0.0.1:5555/
## How to contribute
The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
## Demo
You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
%prep
%autosetup -n SoSciKit-0.4.0
%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-SoSciKit -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
- Package Spec generated
|
