Introduction to Scientific Python
Introduction to Scientific Python
Application to Oceanography
C. Troupin, E. Mason
SOCIB, IMEDEA
Ca?diz, 27-29 January 2016
Table of contents
1. Introduction
2. Installation, update, use
3. Importing/exporting data)
4. Time series
5. 2-D plots
Table of contents
1. Introduction
1.1C Python vs. Matlab
1.2C Definitions and data types
1.3C Resources, tutorials, books
2. Installation, update, use
2.1C Installing
2.2C Running your code
3. Importing/exporting data)
3.1C ipython notebook
3.2C Comma-Separated Values file
3.3C CNV file
3.4C A few words about github
3.5C NetCDF file
4. Time series
5. 2-D plots
Introduction:
What? Why? How?
What is Python?
Programming language:
1. interpreted
2. dynamically typed
3. object-oriented
4. high-level
instructions executed directly
type checking at run-time
classes, objects, methods, . . .
strong abstraction
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