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Advanced Scientific Programming in Python

a Summer School by the G-Node and the Physik-Institut, University of Zurich


schedule

Schedule

Day0 (Sun Sep 1): Best Programming Practices
Time Topic Lecturer Tutors
08:00-08:30 Registration
08:30-09:00 Introduction Tiziano Zito
09:00-10:30 Best Practices, Development Methodologies and the Zen of Python Valentin Haenel
10:30-11:00 Break
11:00-12:30 Version Control with git (lecture) Emanuele Olivetti PB
BV
12:30-13:30 Lunch Break
13:30-14:30 Version Control with git (exercises)
14:30-16:00 Object-oriented programming & design patterns (lecture) Niko Wilbert BT
16:00-16:30 Break
16:30-18:00 Object-oriented programming & design patterns (exercises)
18:00-18:30 Tutors' consultation time
Day1 (Mon Sep 2): Software Carpentry
Time Topic Lecturer Tutors
08:30-10:30 Test-driven development, debugging, and profiling (lecture) Pietro Berkes BV
RBS
SW
10:30-11:00 Break
11:00-12:00 Test-driven development, debugging, and profiling (exercises)
12:00-13:00 Lunch Break
13:00-14:30 Test-driven development, debugging, and profiling (exercises)
14:30-15:30 Advanced Python I: idioms, useful built-in data structures, generators (lecture) Zbigniew Jędrzejewski-Szmek NW
RBS
15:30-16:00 Break
16:00-17:30 Advanced Python I: idioms, useful built-in data structures, generators (exercises)
17:30-18:00 Programming in teams Tiziano Zito
18:00-18:30 Tutors' consultation time
Day2 (Tue Sep 3): Scientific Tools for Python
Time Topic Lecturer Tutors
08:30-10:00 Advanced NumPy (lecture) Stéfan van der Walt BT
ZJS
10:00-10:30 Break
10:30-12:00 Advanced NumPy (exercises)
12:00-13:30 Lunch Break
13:30-14:30 The Quest for Speed (intro): Interfacing to C with Cython (lecture)
14:30-15:30 The Quest for Speed (intro): Interfacing to C with Cython (exercises)
15:30-16:00 Break
16:00-17:00 Best practices in data visualization (lecture) Bartosz Teleńczuk RBS
FA
17:00-18:30 Best practices in data visualization (exercises)
18:30-19:00 Tutors' consultation time
Day3 (Wed Sep 4): The Quest for Speed
Time Topic Lecturer Tutors
08:30-10:00 Writing parallel applications in Python (lecture) Eilif Muller ZJS
FA
VH
10:00-10:30 Break
10:30-12:00 Writing parallel applications in Python (exercises)
12:00-13:30 Lunch Break
13:30-14:00 Python 3: why should I care Zbigniew Jędrzejewski-Szmek
Tiziano Zito
14:00-14:30 Programming project introduction Rike-Benjamin Schuppner
14:30-18:00 Programming project
18:00-18:30 Tutors' consultation time
Day4 (Thu Sep 5): Efficient Memory Management
Time Topic Lecturer Tutors
08:30-09:30 When parallelization does not help: the starving CPUs problem (lecture) Francesc Alted SW
VH
ZJS
09:30-10:30 When parallelization does not help: the starving CPUs problem (exercises)
10:30-11:00 Break
11:00-12:00 Advanced Python II: decorators and context managers (lecture) Zbigniew Jędrzejewski-Szmek NW
RBS
12:00-13:00 Lunch Break
13:00-14:00 Advanced Python II: decorators and context managers (exercises)
14:30-18:00 Programming project
18:00-18:30 Tutors' consultation time
Day5 (Fri Sep 6): Practical Software Development
Time Topic Lecturer
08:30-12:00 Programming project
12:00-13:30 Lunch Break
13:30-17:00 Programming project
17:00-17:10 Next year school location Tiziano Zito
17:10-17:30 Programming project - Final report team representatives
17:30-20:00 Pelita Tournament

Command-line environment setup.

VirtualBox image for the exercises: http://www.physik.uzh.ch/data/aspp/aspp.ova.

schedule.txt · Last modified: 2014/01/16 14:41 by nicola

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