Pandas
Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
Pandas is one of the big data analytics tools, in particular for the Python community.
For queries about this topic, contact Hans Fangohr.
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Projects
Centre for Doctoral Training in Next Generation Computational Modelling
Hans Fangohr, Ian Hawke, Peter Horak (Investigators), Susanne Ufermann Fangohr, Thorsten Wittemeier, Kieran Selvon, Alvaro Perez-Diaz, David Lusher, Ashley Setter, Emanuele Zappia, Hossam Ragheb, Ryan Pepper, Stephen Gow, Jan Kamenik, Paul Chambers, Robert Entwistle, Rory Brown, Joshua Greenhalgh, James Harrison, Jonathon Waters, Ioannis Begleris, Craig Rafter
The £10million Centre for Doctoral Training was launched in November 2013 and is jointly funded by EPSRC, the University of Southampton, and its partners.
The NGCM brings together world-class simulation modelling research activities from across the University of Southampton and hosts a 4-year doctoral training programme that is the first of its kind in the UK.
Colonising Polynesia; Uncertain sailing craft route modelling
Thomas Dickson (Investigator), David Sear
Through developing a novel methodology of modelling sailing craft routing it is possible to investigate archaeological problems as well as applications to modern yacht racing and autonomous sailing technology. This research uses iridis to provide accurate and fast analysis of shortest path routes for sailing craft in order to provide insight and improve safety of operation.
Data Science and HPC
Are Data science and HPC really different fields or are people just repackaging old ideas with new words.
Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction
Mahesan Niranjan, Andrew Collins, Reuben Pengelly (Investigators)
This iPhD project uses a Gaussian Bayesian Networks framework through Machine learning methods to predict which genes are involved in the development of different diseases.
Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction
Andrew Collins, Mahesan Niranjan, Reuben Pengelly (Investigators), Alejandra Vergara Lope
This iPhD project uses a Gaussian Bayesian Networks approaches framework through machine learning approach to predict which genes are involved in the development of different diseases.
Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction
Mahesan Niranjan, Andrew Collins, Reuben Pengelly (Investigators)
This PhD project uses a Monte Carlo molecular simulation processes approach to predict which genes are involved in the development of different diseases.
People
Professor, Medicine (FM)
Professor, Engineering Sciences (FEE)
Professor, Electronics and Computer Science (FPAS)
Reader, Optoelectronics Research Centre
Senior Lecturer, Medicine (FM)
Lecturer, Mathematics (FSHS)
Research Fellow, Social Sciences (FSHS)
Research Fellow, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Biological Sciences (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Administrative Staff, Civil Engineering & the Environment (FEE)
Alumnus, University of Southampton
External Member, Imperial College London
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