Open source software powers thousands of computing projects in financial services, research, internet, Big Data and education—and grows each year. Tools like the Python programming language and a wide array of compatible libraries enable organizations to effectively tackle complex data processing and modeling projects.

The open source approach is particularly valuable in data science and analytics, because it encourages collaboration, transparency and accessibility—all of which are fundamentally important in the pursuit of any scientifc discipline. 

In this whitepaper, our goal is to provide a guide for how government and non-governmental organizations involved in public policy analysis can use the open source approach. 

Open source software powers thousands of computing projects in financial services, research, internet, Big Data and education—and grows each year. Tools like the Python programming language and a wide array of compatible libraries enable organizations to effectively tackle complex data processing and modeling projects.

The open source approach is particularly valuable in data science and analytics, because it encourages collaboration, transparency and accessibility—all of which are fundamentally important in the pursuit of any scientifc discipline. 

In this whitepaper, our goal is to provide a guide for how government and non-governmental organizations involved in public policy analysis can use the open source approach.