You can create the virtual environment ... you to have SWIG installed. You can download released QuantLib-SWIG versions from GitHub at https://github.com/lballabio/QuantLib-SWIG/releases....

A free/open-source library for quantitative finance - QuantLib

QuantLib-SWIG provides the means to use QuantLib from a number of languages; currently their list includes Python, C#, Java, Scala and R.

Pre-built QuantLib installed from brew. Version 1.13 · Pre-built Boost installed from brew. Version 1.68 · Pre-built Python-QuantLib from pip.

QuantLib-Python (hereafter QuantLib) can be easily installed via pip: ... For Windows users, there may sometimes be issues with binary file installation. In this case, it's better to use compiled wheel files: ... # Using Christoph Gohlke's unofficial Windows binaries # Download the appropriate file for your Python version from # https://www.lfd.uci.edu/~gohlke/pythonlibs/#quantlib pip install QuantLib-XXX.whl # Change to your downloaded filename

QuantLib is a free/open-source library for modeling, trading, and risk management in real-life.

This repository builds QuantLib Python bindings with automatic differentiation, enabling fast risks calculation with QuantLib in Python. It wraps C++ QuantLib-Risks in Python.

Source packages for all platforms are available from GitHub in both zip and tar.gz format for QuantLib and QuantLib-SWIG. Compiling QuantLib requires a working Boost installation; Boost 1.48 or later is required, but a more recent version is suggested.

Head to our download page to get the latest official release.. Documentation is available in several formats from a number of sources. If you need to ask a question, subscribe to our mailing list and post it there. Open an issue on GitHub; if you have a patch, open a pull request instead.

Documentation for QuantLib-Python. Contribute to nhaga/QuantLib-Python-Docs development by creating an account on GitHub.

Download QuantLib-SWIG-1.12.tar.gz from https://sourceforge.net/projects/quantlib/files/QuantLib/1.12/other languages/ or the latest version unzip and untar the file ... export PATH=$PATH:/path/to/quantlib/ path to quantlib install is required ...

sudo apt-get install python3-dev ... you to have SWIG installed. You can download released QuantLib-SWIG versions from GitHub at https://github.com/lballabio/QuantLib-SWIG/releases....

Details for the file quantlib-1.42.1-pp311-pypy311_pp73-manylinux_2_24_i686.manylinux_2_28_i686.whl. Download URL: quantlib-1.42.1-pp311-pypy311_pp73-manylinux_2_24_i686.manylinux_2_28_i686.whl

Version Python: 2.7 - hard requirement or use older version of pip to install below libraries Libraries: Quantlib-Python 1.13 { pip install Quantlib } Quandl 3.3 { pip install quandl } numpy 1.14.4 { pip install numpy } pandas 0.23 { pip install pandas-datareader } pandas-datareader 0.6 { pip install pandas-datareader } There are two files in this project.

QuantLib is a component of QuantLab, which also includes organising software to manage machine learning (ML) experiments (systems and manager packages, as well as the main.py façade script). Use Anaconda or Miniconda to install QuantLab's prerequisites. ... $> conda create --name pytorch-1.13 $> conda activate pytorch-1.13 $> conda config --env --add channels conda-forge $> conda config --env --add channels pytorch $> conda install python=3.8 pytorch=1.13.1 pytorch-gpu torchvision=0.14.1 torchtext=0.14.1 torchaudio-0.13.1 cudatoolkit=11.6 -c pytorch -c conda-forge $> conda install ipython packaging parse setuptools tensorboard tqdm networkx python-graphviz scipy pandas ipdb onnx onnxruntime einops yapf tabulate $> pip install setuptools==59.5.0 torchsummary parse coloredlogs netron

A conda-smithy repository for quantlib-python. Contribute to conda-forge/quantlib-python-feedstock development by creating an account on GitHub.

Documentation for QuantLib-Python · Install the requirements: pip install -r requirements.txt · To build the docs then run: sphinx-build -M html docs built · and then the output html will be in the built folder.

QuantLib & QuantLib-Python. GitHub Gist: instantly share code, notes, and snippets.

I'm Luigi Ballabio, co-founder and current maintainer of the open-source QuantLib project. I'm also the author of A QuantLib Guide, Implementing QuantLib and QuantLib Python Cookbook, and I'm available for training on-site (in Europe and UK) or remote (anywhere).

QuantLib and QuantLib-SWIG source code e.g. QuantLib-1.8.zip, QuantLib-SWIG-1.8.zip · Install Anaconda Python3 for Linux x64. At the end, remember to allow adding the Anaconda directory to your bash shell PATH environment variable.