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

1.1�C Python vs. Matlab

1.2�C Definitions and data types

1.3�C Resources, tutorials, books

2. Installation, update, use

2.1�C Installing

2.2�C Running your code

3. Importing/exporting data)

3.1�C ipython notebook

3.2�C Comma-Separated Values file

3.3�C CNV file

3.4�C A few words about github

3.5�C 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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