Pycon USA 2012

2012 #python

Videos

1 — Saturday Morning Lightning talks
2 — Python Meets the Arduino
3 — Hand Coded Applications with SQLAlchemy
4 — Storm: the Hadoop of Realtime Stream Processing
5 — Militarizing Your Backyard with Python: Computer Vision and the Squirrel Hordes
6 — Python for makers
7 — Building a Kinect game with Python
8 — Coroutines, event loops, and the history of Python generators
9 — Python and HDF5 - Fast Storage for Large Data
10 — How the PyPy JIT works
11 — Getting the Most Out of Python Imports
12 — Making Jython Faster and Better
13 — Project Gado: Building an Open Archival Scanning Robot Using Python and Arduino
14 — Why PyPy by example
15 — Python Software Foundation Chairman's Address
16 — Introspecting Running Python Processes
17 — Sage: Open Source Math in Python
18 — Fast Test, Slow Test
19 — Introduction to PDB
20 — Making interactive maps for the web
21 — Flexing SQLAlchemy's Relational Power
22 — Practicing Continuous Deployment
23 — Fake It Til You Make It: Unit Testing Patterns With Mocks and Fakes
24 — A resume-based WSGI Load Balancer
25 — pytest - rapid and simple testing with Python
26 — Certainty in an Uncertain World: Gaining Confidence through Security Testing
27 — Make Sure Your Programs Crash
28 — Static analysis of Python extension modules using GCC
29 — Speedily Practical Large-Scale Tests
30 — Permission or Forgiveness?
31 — Keynote
YCombinator, Paul Graham
32 — Apache Cassandra and Python
33 — Throwing Together Distributed Services With Gevent
34 — Build reliable, traceable, distributed systems with ZeroMQ
35 — IPython: Python at your fingertips
36 — Advanced Security Topics
37 — Practical Machine Learning in Python
38 — Scalability at YouTube
39 — A Noob Speaks to Noobs: Your First Site in the Cloud
40 — PBS KIDS: Building a login system for kids and teens in Python
41 — Stop Mocking, Start Testing
42 — Non-Profit Centers of FLOSS Development
43 — How to make your websites more accessible
44 — Data, Design, Meaning
45 — Graph Processing in Python
46 — DevOps for Python: Doing More With Less
47 — Optimize Performance and Scalability with Parallelism and Concurrency
48 — Social Network Analysis with Python
49 — High Performance Python II
50 — Introduction to Interactive Predictive Analytics in Python with scikit-learn
51 — Python Epiphanies
52 — Plotting with matplotlib
53 — Keynote
Mozilla Corporation, Stormy Peters
54 — Documenting Your Project With Sphinx
55 — Introduction and Welcome
56 — High Performance Python I
57 — Writing a Pyramid application
58 — How to get the most out of your PyPy
59 — Introduction to Django
60 — Web scraping: Reliably and efficiently pull data from pages that don't expect it
61 — Mobilize MongoDB
62 — Django-nonrel
63 — IPython in-depth: high-productivity interactive and parallel python
64 — Data analysis in Python with pandas
65 — Introduction to Game Development
66 — Faster Python Programs through Optimization
67 — Django in Depth
68 — Bayesian statistics made (as) simple (as possible)
69 — EC2:27017
70 — More... "Understanding RPython"
71 — Python for data lovers: explore it, analyze it, map it
72 — Using fabric to standardize the development process
73 — Sharing is Caring: Posting to the Python Package Index
74 — Cache Rules Everything Around Me
75 — Spatial data and web mapping with Python
76 — Polyglot Programming with Python: Python/Scala Interop
77 — Making maps with Python
78 — Cross-Compiling Python & C Extensions for Embedded Systems
79 — The Email Package: Past, Present, and Future
80 — What Python can learn from Java
81 — Keynote
David Beazley