Information Technology
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Python in High Performance Computing

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4.5

(4)

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$10

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Course Features

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Duration

4 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Because of its speed and ease of use, Python is a popular programming language in scientific computing. Although pure Python programs are often slow and inefficient, there are many ways to improve their performance.

This course will teach you how to identify performance bottlenecks and perform efficient numerical computations. You'll also learn how to extend Python with compiled codes. There are many ways to optimize and parallelise Python programs in scientific and high-performance computing.

Course Overview

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Alumni Network

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Human Interaction

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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Improve performance of Python programs

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Apply parallelisation techniques using Python

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Calculate numerical expressions efficiently in Python

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Identify performance bottlenecks in Python programs

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Develop higher performance extensions to Python

Target Students

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The course is designed for Python programmers who want to speed up their codes

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You should be familiar with the basics of the Python programming language

Course Instructors

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Martti Louhivuori

Instructor

Expert on high-performance computing working at CSC.fi
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Jussi Enkovaara

Instructor

Senior application scientist at the Finnish national supercomputing center CSC - IT Center for Science.

Course Reviews

Average Rating Based on 4 reviews

4.3

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