Ubuntu
quantlib-swig package

quantlib-swig 1.7-1 source package in Ubuntu

Changelog

quantlib-swig (1.7-1) unstable; urgency=low

  * New upstream release
  
  * debian/control: Set Build-Depends: to current QuantLib version 

 -- Dirk Eddelbuettel <email address hidden>  Sun, 27 Dec 2015 17:07:24 -0600

Upload details

Uploaded by:
Dirk Eddelbuettel
Uploaded to:
Sid
Original maintainer:
Dirk Eddelbuettel
Architectures:
any
Section:
interpreters
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe misc

Downloads

File Size SHA-256 Checksum
quantlib-swig_1.7-1.dsc 1.8 KiB c1aaaf939174aa73719e9e6714b631299e64523b41d4a38b09789072c6d4ff64
quantlib-swig_1.7.orig.tar.gz 4.7 MiB b400a510500096695a0d343d040c402489203ac6225f9b84d5018abbca5686d0
quantlib-swig_1.7-1.diff.gz 9.6 KiB 6796931017e1f0cd5f53a9ce0b379d6538426556793b737ac9b651ddeceba108

Available diffs

No changes file available.

Binary packages built by this source

quantlib-python: Python bindings for the Quantlib Quantitative Finance library

 The QuantLib project is aimed to provide a comprehensive software framework
 for quantitative finance. The goal is to provide a standard free/open source
 library to quantitative analysts and developers for modeling, trading, and
 risk management in real-life.
 .
 QuantLib plans to offer tools that are useful for both practical
 implementation, with features such as market conventions, solvers, PDEs,
 etc., and advanced modeling, e.g., exotic options and interest rate models.
 .
 This package provides Python bindings to parts of the QuantLib library.

quantlib-python-dbgsym: debug symbols for package quantlib-python

 The QuantLib project is aimed to provide a comprehensive software framework
 for quantitative finance. The goal is to provide a standard free/open source
 library to quantitative analysts and developers for modeling, trading, and
 risk management in real-life.
 .
 QuantLib plans to offer tools that are useful for both practical
 implementation, with features such as market conventions, solvers, PDEs,
 etc., and advanced modeling, e.g., exotic options and interest rate models.
 .
 This package provides Python bindings to parts of the QuantLib library.