%global _empty_manifest_terminate_build 0 Name: python-gs-quant Version: 0.9.101 Release: 1 Summary: Goldman Sachs Quant License: http://www.apache.org/licenses/LICENSE-2.0 URL: https://marquee.gs.com Source0: https://mirrors.nju.edu.cn/pypi/web/packages/47/15/dbe18ae5a4df02cf33f69995c7a94d5f7eaf6bf8d776ba33cc1be0dc3a9f/gs_quant-0.9.101.tar.gz BuildArch: noarch Requires: python3-asteval Requires: python3-aenum Requires: python3-backoff Requires: python3-cachetools Requires: python3-certifi Requires: python3-dataclasses-json Requires: python3-deprecation Requires: python3-funcsigs Requires: python3-inflection Requires: python3-lmfit Requires: python3-more-itertools Requires: python3-msgpack Requires: python3-nest-asyncio Requires: python3-opentracing Requires: python3-pandas Requires: python3-pydash Requires: python3-dateutil Requires: python3-requests Requires: python3-tqdm Requires: python3-websockets Requires: python3-dataclasses Requires: python3-scipy Requires: python3-statsmodels Requires: python3-typing Requires: python3-scipy Requires: python3-statsmodels Requires: python3-scipy Requires: python3-wheel Requires: python3-sphinx Requires: python3-sphinx-rtd-theme Requires: python3-sphinx-autodoc-typehints Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-mock Requires: python3-pytest-ordering Requires: python3-testfixtures Requires: python3-gs-quant-internal Requires: python3-jupyter Requires: python3-matplotlib Requires: python3-seaborn Requires: python3-treelib Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-mock Requires: python3-pytest-ordering Requires: python3-testfixtures Requires: python3-nbconvert Requires: python3-nbformat Requires: python3-jupyter-client Requires: python3-quant-extensions %description # GS Quant **GS Quant** is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets. It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications. Please refer to [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/) for additional information. ## Requirements * Python 3.6 or greater * Access to PIP package manager ## Installation ``` pip install gs-quant ``` ## Examples You can find examples, guides and tutorials in the respective folders as well as on [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/). ## Contributions Contributions are encouraged! Please see CONTRIBUTING.MD for more details. ## Help Please reach out to `gs-quant@gs.com` with any questions, comments or feedback. %package -n python3-gs-quant Summary: Goldman Sachs Quant Provides: python-gs-quant BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-gs-quant # GS Quant **GS Quant** is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets. It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications. Please refer to [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/) for additional information. ## Requirements * Python 3.6 or greater * Access to PIP package manager ## Installation ``` pip install gs-quant ``` ## Examples You can find examples, guides and tutorials in the respective folders as well as on [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/). ## Contributions Contributions are encouraged! Please see CONTRIBUTING.MD for more details. ## Help Please reach out to `gs-quant@gs.com` with any questions, comments or feedback. %package help Summary: Development documents and examples for gs-quant Provides: python3-gs-quant-doc %description help # GS Quant **GS Quant** is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets. It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications. Please refer to [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/) for additional information. ## Requirements * Python 3.6 or greater * Access to PIP package manager ## Installation ``` pip install gs-quant ``` ## Examples You can find examples, guides and tutorials in the respective folders as well as on [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/). ## Contributions Contributions are encouraged! Please see CONTRIBUTING.MD for more details. ## Help Please reach out to `gs-quant@gs.com` with any questions, comments or feedback. %prep %autosetup -n gs-quant-0.9.101 %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-gs-quant -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 25 2023 Python_Bot - 0.9.101-1 - Package Spec generated