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<!--
-->
<!DOCTYPE html>
<html>
<head>
<title>Python workshop - Paris-Saclay Center for Data Science</title>
<meta charset="utf-8">
<link rel="stylesheet" type="text/css" href="img/slides.css">
</head>
<body>
<textarea id="source">
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# Scientific Programming with Python and Software Engineering Best Practices
2-day workshop, 3-4 July 2017
<p style="margin-bottom: 3cm;"></p>
.affiliations[
]
---
### Those slides: https://paris-saclay-cds.github.io/python-workshop
### Download the material: https://github.com/paris-saclay-cds/python-workshop/archive/master.zip
### Check that you can run a jupyter notebook and have everything installed
---
# Why Python for data analysis?
### High level language
### General purpose
### Excellent interactive use
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### + a rich ecosystem of tools for scientific computing and data analysis.
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# Python's scientific ecosystem
#### ## Thanks to Jake VanderPlas for the figure
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background-image: url(img/JakeVdP-ecosystem1.svg)
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# Goal of today's workshop
## = give you a sense of this ecosystem
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Overview of today:
* numpy
* pandas
* matplotlib
* scipy, statsmodels
* scikit-learn
---
---
class:middle, center
# Ask questions!
</textarea>
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