NB

custom.css should be in same folder as the notebook
then to display the slides



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jupyter nbconvert Welcome\ session\ Python\ for\ science\ BBRC.ipynb --to slides --post serve --template default_transition

Welcome session on Python for science

BarcelonaBeta Brain Research Center - April 4 2017

Check-list:

Python 2.7
IPython
Jupyter

Why Python?

for Science!
Easy, educational, many gateways to other languages and multiplatform.
Modular, modules, bricks, versatile (e.g. text processing, linear algebra, web development)
Human readable
GPL-compatible (open source) Free!
It is everywhere.

Great for working / teaching / sharing.

The scientist's needs:

get data
manipulate, process data
visualize results
communicate results

Slack

Ask your questions, learn, comment, share on everything.

Multi-platform, mobile apps, etc.

Visit http://fpmaragall.slack.com/

Communication based on real-time discussions in topic-oriented channels.

Join #python now !

Structure of the course :

April 3 1:15pm-2:45pm - Getting started in Python (~90 minutes)
April 10 2pm-3pm - Hands-on Numerical Python, Scientific Python and Visualization (~60 minutes)
April 24 2pm-3pm - Applications to Statistics, Machine Learning and Neuroimaging (~60 minutes)

Resources :

Dive into Python (http://diveintopython.com)
Scipy lectures (http://scipy-lectures.net)

Bestiary :

Python: the language
Anaconda: a "distribution" (Python and friends)
IPython: Interactive Python (Python with some helpers)
IPython Notebook: Python in your browser (these slides are a IPython Notebook !)

The interactive workflow: IPython and a text editor

Hello world!

Open a terminal and start python



In [1]:

    
print('Hello world!')









    



Hello world!

Ipython

Now pen a terminal and start ipython



In [2]:

    
print('Hello world!')









    



Hello world!

Now what's the difference ?

Your first `Python` script

Now choose your favorite editor and create my_file.py.



In [6]:

    
s = 'Hello world !'
print(s)









    



Hello world !

IPython tips

Basic types

Integers
Floats
Complex
Booleans

Weakly typed

Arithmetical operations

Casting

Containers

Lists
Dictionaries

Strings

Dictionaries

Functions

Reusing code: import

Modules, packages

Inputs / outputs

NB