Python for Massive Data Processing

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The increasing amount of scientific data being collected through sensors or computational simulations can take advantage of new  tools for being processed in order to extract new meanings out of raw data. The purpose of this course is to present mostly used Python libraries in this filed which can help processing and manipulating large amount of data sets. The course will consist of introductory lectures and hands-on sessions.


Basic principles of Python, Pandas, SciPy, Intel DAAL. Basic understandings for problem analysis and optimization. Project design and strategies for building a scalable data analysis application. About half of the course will consist of practical hands-on sessions.

Target audience: 

Students, PhD, and researchers in computational sciences and scientific areas with different backgrounds, looking for new technologies and methods to process and analyse large amount of data.


Participants must have basic knowledge in programming with Python and using GNU/Linux-based systems. The participation to the course "Python for Computational Science" is highly recommended.

Research Institutions
Minimum number of attendants required: 

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Cineca is a non profit Consortium, made up of 70 Italian universities, 5 Italian Research Institutions and the Italian Ministry of Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

Visit the Cineca website