1-3 March 2017
CSC - IT Center for Science
Europe/Helsinki timezone

Description

Python programming language has become popular in scientific computing due to many benefits it offers for fast code development. Unfortunately, the performance of pure Python programs is often sub-optimal, but fortunately this can be easily remedied. In this course we teach various ways to optimise and parallelise Python programs. Among the topics are performance analysis, efficient use of NumPy arrays, extending Python with more efficient languages (Cython), and parallel computing with task based (multiprocessing) and message passing (mpi4py) approaches.

Learning outcome

After the course participants are able to analyse performance of Python programs, and are familiar with various ways to optimise and parallelise them.

Prerequisites

Some experience in Python programming.

Agenda

Day 1, Wednesday 1.3

  • Efficient use of NumPy

  • Performance analysis

Day 2, Thursday 2.3

  • Optimisation with Cython

  • Parallel computing with multiprocessing

Day 3, Friday 3.3

  • Parallel computing with mpi4py

 

Lecturers:   Jussi Enkovaara (CSC), Martti Louhivuori (CSC)

Language:  English
Price:          Free of charge

Starts 1 Mar 2017 09:00
Ends 3 Mar 2017 16:00
Europe/Helsinki
CSC - IT Center for Science
Training room Dogmi, 1st floor
LIfe Science Center, Keilaranta 14, Espoo, Finland

How to reach us

CSC is located in Keilaniemi, Espoo, 10 km west of the Helsinki City Center. Detailed information is available here.

Accommodation

We recommend choosing a few hotels that are most close to our premises. The nearest hotel is Radisson Blu Espoo, which is in a walking distance (only 500 m) from CSC. Another hotel close to the venue (1,8 km) is Sokos Hotel Tapiola Garden. Other hotels are located in Helsinki' downtown with a frequent and fast bus connection to Keilaniemi. Please note, that there are no special rates for participants at any hotels.

If you have any questions, please click on the support link on the left to send an e-mail to the local organizers.