joomla templates

linksceem.eu

HIGHLIGHTER:
3D Simulations of Jittering-Jets in Core-Collapse Supernovae on Cy-Tera » Dr. Manthos Papadopoulos’ group from the National Hellenic Research Foundati...
3D Simulations of Jittering-Jets in Core Collapse Supernovae on Cy-Tera » Professor Noam Soker and his PhD student were awarded 200,000 CPU hours on C...
BA Access for first-principle studies on two-dimensional and layered materials »   Professor Tsetseris’ novel material group was allocated close to 200...
Cy-Tera Access simulations for swimming biologically inspired robots »   Professor Ekaterinaris’ group were allocated 200,000 CPU hours and p...
The 4th SESAME – LinkSCEEM Summer School (Report) »   Event: The 4th SESAME – LinkSCEEM Summer SchoolDate: 15-17 June, 201...
Report on SESAME-LinkSCEEM HPC Roadshow at Jordan University for Science and Tec... »   Date & Location: Sunday May 4, 11:00 AM, JUST Campus, Salah-Elde...
Discontinuous Galerkin discretizations over two Production calls »   After a successful 1st LinkSCEEM production call application, Profes...
Pressure-velocity coupled high performance CFD modelling – from Preparatory to P... » After an unsuccessful 1st LinkSCEEM/Cy-Tera production call application wher...
An Environmental Science and Technology group from Cyprus progresses from prepar... »   Dr. Daskalakis’ environmental science and technology group started u...
The 4th SESAME – LinkSCEEM Summer School » The 4th SESAME – LinkSCEEM Summer School 15 – 17 June 2014 – Amman, Jordan ...
Wednesday, 29 Mar 2023
Other Scientific Events
Events Calendar Print Write e-mail help
Training course "Data analysis and data mining with Python"
From Monday 10 November 2014 -  08:00
To Wednesday 12 November 2014 - 17:00
by  This e-mail address is being protected from spambots. You need JavaScript enabled to view it Hits : 746

 

Pandas, matplotlib, and scikit-learn make Python a powerful tool for data analysis, data mining, and visualization. All of these packages and many more can be combined with IPython to provide an interactive extensible environment. In this course, we will explore matplotlib for visualization, pandas for time series analysis, and scikit-learn for data mining. We will use IPython to show how these and other tools can be used to facilitate interactive data analysis and exploration.

See more

Back