Book Image

Python Data Analysis

By : Ivan Idris
Book Image

Python Data Analysis

By: Ivan Idris

Overview of this book

Table of Contents (22 chapters)
Python Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Key Concepts
Online Resources
Index

Integrating Boost and Python


Boost is a C++ library that can interface with Python. Download it from http://www.boost.org/users/download/. The latest Boost version at the time of writing was 1.56.0. The easiest but also slowest installation method involves the following commands:

$ ./bootstrap.sh --prefix=/path/to/boost
$ ./b2 install

The prefix argument specifies the installation directory. In this example, we will assume that Boost was installed under the user's home directory in a directory called Boost (such as ~/Boost). In this directory, a lib and include directory will be created. For Unix and Linux, it is useful to run the following command:

export LD_LIBRARY_PATH=$HOME/Boost/lib:${LD_LIBRARY_PATH}

On Mac OS X, set the following environment variable:

export DYLD_LIBRARY_PATH=$HOME/Boost/lib

Redefine a rain summation function as given in the boost_rain.cpp file in this book's code bundle:

#include <boost/python.hpp>

double sum_rain(boost::python::list rain, int len) {

  double...