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diff --git a/python-soscikit.spec b/python-soscikit.spec new file mode 100644 index 0000000..9944a7b --- /dev/null +++ b/python-soscikit.spec @@ -0,0 +1,201 @@ +%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 |