This document provides an agenda and overview for an OpenShift workshop on Python development. The workshop will introduce OpenShift and demonstrate how to create Python applications using the OpenShift platform-as-a-service. Attendees will learn to create applications from the command line and web console, add databases like MongoDB, and use tools like Git for version control. The document outlines assumptions about attendees' experience and what will be covered, including supported technologies, available resources, and terminology for the workshop.

1. OpenShift Workshop –
Python for the impatient
Sign up code: PyConWorkshop
Steven Citron-Pousty
@TheSteve0 (TheSteve0 IRC)
PaaS Dust Spreader, Red Hat
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2. Agenda
• Start with PaaS intro
• Show you OpenShift
• What does development look like
• Do some development – from here on hands on
• Signup code: PyconWorkshop
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3. Assumptions
1) You know some Mongo
2) You know or can read some Python
3) You prefer to write code and apps over managing
servers or you prefer managing servers rather than
dealing with annoying developer requests
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4. What is OpenShift?
Red Hat's free, auto-scaling Platform as a Service (PaaS) for
applications in the cloud.
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5. Kind of like Amazon, right? Nope.
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6. What’s supported?
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7. What else do I get and what is the
catch?
• The Catch is we are in developer preview right now
• OpenShift is free-as-in-beer & free-as-in-freedom
• Three gears – each one is half a gig of RAM, and 1 gig
of disk (always free)
• Need more resources, just ask!
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8. Cook24v on Flickr
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9. Demo
1. Create an application using the command line tools with
a DB (python)
2. Create a Wordpress app from the web console
3. Before I start everyone should start installing the
command line tools if they haven’t already
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10. Some terminology for today
1. Application – your web code and any data store. Has
to be on 1 or more gears
2. Gear – is like a server. It can have only 1 language for
the web programming.
3. Cartridge – it adds a language, a data store, or other
functionality
4. Git – used for version control and managing code
between server and your development machine
5. Ssh – command line tool to connect to your gear
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11. GIT
Distributed Version control
A local repository – on your laptop
A remote repository – on some other machine, usually a
server
Good place to start -
http://sixrevisions.com/resources/git-tutorials-
beginners/
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12. OK Now it’s your turn
1. Create a python application at the command line
1. Modify the source and push it back up
2. Add mongo to your application
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13. Mongo Next steps
1. We look at the National Park data together
2. We use the code from this github repo :
https://github.com/openshift/openshift-mongo-flask-
example
3. We import the national park data into our MongoDB
database
4. Look at the code together.
5. Write a few of the functions and maybe one of your
own
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14. Flask - a microframework for Python
A quick way to add code to handle specific URLs –
typical in REST web services – it also does A LOT
more
http://flask.pocoo.org/
from flask import Flask
app = Flask(__name__)
@app.route("/") #this is an annotation
def hello():
return "Hello World!"
if __name__ == "__main__":
app.run()
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15. Conclusion
1. Openshift makes life great for you
2. Lot’s of Python choices
3. The tools are easy to use
4. You should be ready to write services
5. Almost anything you need on a server
6. Did I mention – Free
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16. What usually happens on local
Borrowed from: http://git-scm.com/book/en/Git-Basics-Recording-Changes-to-the-Repository
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17. What you do with Remote repositories
Clone – take a remote
repository and bring it
local
Push – push your local
changes back up to a
remote
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18. You need to understand at least 3 commands in Git
1. Git add . (means add all news files as being tracked in
the local repository)
2. Git commit –am “your message” (means commit all
my changes to the local repository with this message)
3. Git push (means push from your local repository to
the repository on your OpenShift gear)
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19. Github
Publically hosted git repositores (can be private if you
pay for it)
http://www.github.com
You care about it because:
1)We have quickstarts
there
2)You can put your
projects there for backup
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