13. Python is everywhere
• NASA
• Google
• Linux (expecially Ubuntu)
• Mac OS X
• Every special effects or animation shop
14. Python is everywhere
• NASA
• Google
• Linux (expecially Ubuntu)
• Mac OS X
• Every special effects or animation shop
• Science
15. Python is everywhere
• NASA
• Google
• Linux (expecially Ubuntu)
• Mac OS X
• Every special effects or animation shop
• Science
• Robotics
16. Python is everywhere
• NASA
• Google
• Linux (expecially Ubuntu)
• Mac OS X
• Every special effects or animation shop
• Science
• Robotics
• Web (Instagram!)
17. Thanking the sponsors
Auberon Solutions Github
Cartwheel Web Philhealth
Smart Chikka
Python Software Foundation Globe Labs
10gen Django Software Foundation
18. Thanking my
fellow speakers
Sony Valdez
Marco Moreto
Audrey Roy
Rodney Quillo
Malcolm Tredinnick
Bryan Veloso
Paolo Barazon
46. Mentorship, the developmental
relationship between a more
experienced mentor and a less
experienced partner referred to as a
mentee or protégé
http://en.wikipedia.org/wiki/Mentor_(disambiguation)
47. Mentorship refers to a personal
developmental relationship in which a more
experienced or more knowledgeable person
helps to guide a less experienced or less
knowledgeable person. However, true
mentoring is more than just answering
occasional questions or providing ad hoc
help. It is about an ongoing relationship of
learning, dialog, and challenge.
http://en.wikipedia.org/wiki/Mentorship
53. No mentorship
• Too proud to ask for help.
• Couldn’t figure out why anyone used arrays
54. No mentorship
• Too proud to ask for help.
• Couldn’t figure out why anyone used arrays
• Created a lot of variables.
55. No mentorship
• Too proud to ask for help.
• Couldn’t figure out why anyone used arrays
• Created a lot of variables.
• Lots of variables.
56. No mentorship
• Too proud to ask for help.
• Couldn’t figure out why anyone used arrays
• Created a lot of variables.
• Lots of variables.
• So many variables.
57. No mentorship
• Too proud to ask for help.
• Couldn’t figure out why anyone used arrays
• Created a lot of variables.
• Lots of variables.
• So many variables.
• So many, many variables.
58. 10 NA = 1
20 NB = 4
30 NC = 27
Before mentors 40 ND = 256
50 NE = 3125
ad infinitum
59. 10 NA = 1
20 NB = 4
30 NC = 27
Before mentors 40 ND = 256
50 NE = 3125
ad infinitum
Array VS
After mentors [1, 4, 27, 256, 3125]
60. 10 NA = 1
20 NB = 4
30 NC = 27
Before mentors 40 ND = 256
50 NE = 3125
ad infinitum
Array VS
After mentors [1, 4, 27, 256, 3125]
[x ** x for x in range(1,6)]
List comprehension to
generate the array
98. James Tauber
• Introduced me to JQuery
• Encouraged me to create django-uni-form
• (evolved to django-crispy-forms)
99. James Tauber
• Introduced me to JQuery
• Encouraged me to create django-uni-form
• (evolved to django-crispy-forms)
• Gave me a job at Eldarion
100. James Tauber
• Introduced me to JQuery
• Encouraged me to create django-uni-form
• (evolved to django-crispy-forms)
• Gave me a job at Eldarion
• Thank you James!
101. Brian Rosner
git add conference-sourcecode.rst
git commit -m "Added the code samples."
git push origin master
git
102. Jannis Leidel
from setuptools import setup, find_packages
import mongonaut
LONG_DESCRIPTION = open('README.rst').read()
setup(
name='django-mongonaut',
version=mongonaut.__version__,
description="An introspective interface for Django and MongoDB",
long_description=LONG_DESCRIPTION,
classifiers=[
"Development Status :: 3 - Alpha",
...
Python packaging and more
118. Being a mentor is...
• ...discovering just how much you don’t know.
119. Being a mentor is...
• ...discovering just how much you don’t know.
• ...having to refer to others for answers.
120. Being a mentor is...
• ...discovering just how much you don’t know.
• ...having to refer to others for answers.
• ...frustrating.
121. Being a mentor is...
• ...discovering just how much you don’t know.
• ...having to refer to others for answers.
• ...frustrating.
• ...time consuming.
134. What kind of Doctor
would you hire?
No Passion
• Glances at charts
• Prescribes medicine
135. What kind of Doctor
would you hire?
No Passion Passion
• Looks at charts
• Reads your history
• Glances at charts • Gets to know you
• Prescribes medicine • Cares
• Solves problems