Introduction to Programming using Python

Introduction to Programming using Python

The objective of this course is to teach programming concepts to people who are not professional computer scientists, but who need a better control of computers for their own research.

Tag(s): Python

Publication date: 01 Feb 2008

ISBN-10: n/a

ISBN-13: n/a

Paperback: 222 pages

Views: 21,275

Type: Book

Publisher: Pasteur Insitute

License: n/a

Post time: 27 Apr 2008 09:58:59

Introduction to Programming using Python

Introduction to Programming using Python The objective of this course is to teach programming concepts to people who are not professional computer scientists, but who need a better control of computers for their own research.
Tag(s): Python
Publication date: 01 Feb 2008
ISBN-10: n/a
ISBN-13: n/a
Paperback: 222 pages
Views: 21,275
Document Type: Book
Publisher: Pasteur Insitute
License: n/a
Post time: 27 Apr 2008 09:58:59
Excerpts from the Introduction:

The objective of this course is to teach programming concepts to biologists. It is thus aimed at people who are not professional computer scientists, but who need a better control of computers for their own research. This programming course is part of a course in informatics for biology. If you are already a programmer, and if you are just looking for an introduction to Python, you can go to this Python course (in Bioinformatics).

The reasons to use Python as a first language to learn programming are manyfold. First, there are studies that show that Python is well designed for beginners and the language has been explicitely designed by its author to be easier to learn. Next, it is more and more often used in bioinformatics as a general-purpose programming language, to both build components and applications. Another very important reason is the object-orientation, that is necessary not just for aesthetics but to scale to modern large-scale programming. Finally, a rich library of modules for scripting and network programming are essential for bioinformatics which very often relies on the integration of existing tools.
 




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Eric Deveaud

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Catherine Letondal

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Corinne Maufrais

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Marie-Agnes Petit

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Katja Schuerer

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