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Good course. Very competent trainer for this introduction. The course offers wide spectrum of topics and goes into depth were participants need it most.

Helmut Dittrich, CEO DiFis-Engineering UG, arrow-fix.com, about the German introducation to Django "Einstieg in Django" mehr dazu ...


Highly recommended. Many aha-experiences and took home many positive inspiratons.

Helmut Dittrich, CEO DiFis-Engineering UG, arrow-fix.com, about the German advanced Django course "Django für Fortgeschrittene" mehr dazu ...


Good course. Very fast progress without any prior Python knowledge.

Daniel Fuchs, GIGATRONIK Ingolstadt GmbH, about the German version of the course "Python for Programmers" more ...


Very nice course, got many useful suggestions.

Dr.-Ing. Ralf Wieland, Institut für Landschaftssystemanalyse, Leibniz-Zentrum für Agrarlandschaftsforschung e.V. about the German version of the course "Python for Scientists and Engineers" more ...


Mike is an outstanding teacher ... I will look for his classes in the future.

Jannifer Trasti, Software/Systems Engineer, Sandia National Laboratories, Albuquerque, NM, USA more ...


The Python Summer Course was a very good opportunity to know almost all about Python. ... Highly recommended!!

Fabio Lamanna, Ph.D. Complex Transportation Networks, Trieste, Italy more ...


We had a wide range of Python experience in our group and each person gained something valuable to take away....

Dr. Ryan Woodard, Chair of Entrepreneurial Risks, ETH Zurich, Switzerland more ...


I can absolutely recommend this course to everybody who wants become productive with Python very quickly. ...

Dr. med. Beat Meister, Bern, Switzerland more ...


The standard Python for programmers and the customized "Python for Experts" course where a great success. ...

Bart Hillaert, Alcatel-Lucent Belgium more ...


[The trainer] knows well what scientists need, so his hints are very practical and valuable. The hands-on course [..] covers a wide range of examples and will be very helpful in my daily work. ...

Dorota Jarecka, University of Warsaw about the course "Python for Scientists and Engineers" more ...


The course "Python for Scientists and Engineers" is a very useful introduction to Python programming for scientific applications ...

Dr Mihai Duta, Oxford Supercomputing Centre more ...


Very good introduction to the programming language.

Matthias Enderle, freelancer programmer more ...


High-Performance Computation with Python

Motivation

The requirement for extensive and challenging computations is far older than the computing industry. Today, software is a mere means to a specific end, it needs to be newly developed or adapted in countless places in order to achieve the special goals of the users and to run their specific calculations efficiently. Nothing is of more avail to this need than a programming language that is easy for users to learn and that enables them to actively follow and form the realisation of their requirements.

Python is this programming language. It is easy to learn, to use and to read. The language makes it easy to write maintainable code and to use it as a basis for communication with other people. Moreover, it makes it easy to optimise and specialise this code in order to use it for challenging and time critical computations. This is the main subject of this course.

Target Audience

This course targets medium level Python programmers who would like to have it both: fast program execution and fast development. Participants should have solid Python knowledge. Alternatively, you can attend the course Python for Programmers (one is offered just the week before June 5 - 7, 2012) to be able to take full advantage of this course.

The course provides expert knowledge for Python in HPC for software developers, engineers, researchers and scientists in many fields who need all the speed they can get from a computer but at the same time would like to use a flexible and elegant programming language that is rated as one of the most productive of the popular language in use today.

Content

Course Modules Duration Date
Optimizing of Python Programs 1 day June 11, 2012 (Monday)
Python Extensions with Other Languages 1 day June 12, 2012 (Tuesday)
Fast Code with the Cython Compiler 1 day June 13, 2012 (Wednesday)
Numerical Calculations with NumPy 1 day June 14, 2012 (Thursday)
Fast NumPy Processing with Cython 1 day June 15, 2012 (Friday)

Each course module can be booked separately. This course is part of the Python Power Course that also includes the module Advanced Python.


The Python Academy is sponsor of PythonCamp 2012.

[PythonCamp 2012]

The Python Academy is sponsor of EuroPython 2012.

[EuroPython 2012]

The Python Academy is sponsor of EuroSciPy.

[EuroSciPy 2012]

News


Python Academy sponsors EuroPython conference 2012
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Python Academy sponsors EuroSciPy conference 2012
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Python Academy sponsors PyCon DE conference 2012
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Next Meeting of Leipzig Python User Group, May 8, 2012
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Course: "Python für Nicht-Programmierer" (German) in Leipzig April 15 - 18, 2012
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Course: "Python für Programmierer" (German) in Leipzig April 16 - 18, 2012
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Course: "Python für Wissenschaftler und Ingenieure" (German) in Leipzig April 19 - 21, 2012
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Course: "Einstieg in Django" (German) in Leipzig April 23 - 25, 2012
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Course: "Django für Fortgeschrittene" (German) in Leipzig April 26 - 27, 2012
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Python for Non-Programmers (English) in Leipzig June 4 - 7, 2012
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Python for Programmers (English) in Leipzig June 5 - 7, 2012
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Python Power Course (English) in Leipzig June 8 - 15, 2012
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Advanced Python (English) in Leipzig June 8 - 10, 2012
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High-Performance Computation with Python (English) in Leipzig June 11 - 15, 2012
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PyPy Sprint in Leipzig June 22 - 27, 2012
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Advanced Python at EuroPython (English) in Florence, Italy July 7, 2012
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Introduction to Django (English) in Leipzig October 15 - 17, 2012
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Advanced Django (English) in Leipzig October 18 - 20, 2012
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Python Academy founder receives PSF Community Service Award
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