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qcomm-presentation

EmpowHERment workshop presentation

On Github willingc / qcomm-presentation

Welcome

Journey to Jupyter

Explore, Empower, Change

Qualcomm EmpowHERment Workshop

July 17, 2015

Your guides

Dr. Youwen Ouyang

Professor and Chair

Dept of Computer Science and Information Systems

California State University San Marcos

Your guides

Carol Willing

Director, Python Software Foundation

Geek-in-Residence, FabLab San Diego

Developer, Willing Consulting

What is Jupyter?

Powerful yet intuitive

Many languages

Interactive

Iterative

Why?

Mentor and share

SciPy 2014 @ UT-Austin

Grace Hopper Celebration 2014 - Phoenix

CSUSM Hackathon October 2014

CSUSM Women in Computing

San Diego Womens' Hackathon

Hosted at Cal State San Marcos

Interact and engage

Hour of Code 2014

Empower

National Day of Civic Hacking 2015

Change

San Diego Womens' Hackathon

Bone health and Water conservation projects

How?

Try Jupyter

try.jupyter.org

From data to visualization

A few lines of code

%matplotlib inline

import pandas as pd
import numpy as np
import matplotlib

from matplotlib import pyplot as plt
import seaborn as sns

ts = pd.Series(np.random.randn(1000),
               index=pd.date_range('1/1/2000',
               periods=1000))
ts = ts.cumsum()

df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index,
                  columns=['A', 'B', 'C', 'D'])
df = df.cumsum()
plt.figure(); df.plot(); plt.legend(loc='best')
					

From data to visualization

The SciPy Stack

Examples

try.jupyter.org

Installing a Bundle

Anaconda http://continuum.io/downloads

Canopy Express https://store.enthought.com/downloads/

Who?

Researchers

Instructors

Students

Engineers

Data Analysts

A peer using Jupyter

http://www.jesshamrick.com/

https://developer.rackspace.com/blog/deploying-jupyterhub-for-education/

What will YOU

explore

empower

change

?

When?

EmpowHERment Hackathon

Research

Visualizations

Animate

Prototype

Share

Ways to learn more...

Join Systers

Get involved on campus

User groups like PyLadies

Conferences (and pyvideo.org)

Ask questions

Thank you

Presentation: http://bit.ly/empowher-jupyter

Source code: http://bit.ly/empowher-source

Happy hacking!

Welcome