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Great America Floor 2B R1 |
Great America Floor 2B R2 |
Great America Floor 2B R3 |
Great America J |
Great America K |
Mission City M1 |
Mission City M2 |
Mission City M3 |
Mission City |
Grand Ballroom AB |
Grand Ballroom CD |
Grand Ballroom EF |
Grand Ballroom GH |
Great America |
Poster-1 |
Poster-2 |
Poster-3 |
Poster-4 |
Wed 13 |
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09:00 |
[_] A hands-on introduction to Python for beginning programmers
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[_] Pyramid for Humans
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[_] Going from web pages to web apps with Python
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[_] Python for Programmers: A Project-Based Tutorial
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[_] Faster Python Programs through Optimization
|
[_] Digital signal processing through speech, hearing, and Python
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[_] A beginner's introduction to Pydata: how to build a minimal recommendation engine.
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[_] IPython in-depth: high-productivity interactive and parallel python
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01:20 |
[_] Code to Cloud in under 45 minutes
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[_] Analyzing Social Networks with Python
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[_] Rapid Web Prototyping with Lightweight Tools
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[_] Effective Django
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[_] Hands-on Intermediate Python
|
[_] Bayesian statistics made simple
|
[_] Learn Python Through Public Data Hacking
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[_] Python beyond the CPU
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Great America Floor 2B R1 |
Great America Floor 2B R2 |
Great America Floor 2B R3 |
Great America J |
Great America K |
Mission City M1 |
Mission City M2 |
Mission City M3 |
Mission City |
Grand Ballroom AB |
Grand Ballroom CD |
Grand Ballroom EF |
Grand Ballroom GH |
Great America |
Poster-1 |
Poster-2 |
Poster-3 |
Poster-4 |
Thu 14 |
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09:00 |
[_] Documenting Your Project in Sphinx
|
[_] Scripting: from Hard-drive to Github to PyPI
|
[_] A Gentle Introduction to Computer Vision
|
[_] Shiny, Let's Be Bad Guys: Exploiting and Mitigating the Top 10 Web App Vulnerabilities
|
[_] Python Epiphanies
|
[_] An Introduction to scikit-learn: Machine Learning in Python
|
[_] Python for Data Analysis
|
[_] Fully Test-Driven Web Development with Django and Selenium
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|
01:20 |
[_] Intermediate Twisted: Test-Driven Networking Software
|
[_] Introduction to PyGame
|
[_] Introduction to SQLAlchemy
|
[_] Advanced Machine Learning with scikit-learn
|
[_] Python 3 Metaprogramming
|
[_] Contribute with me! Getting started with open source development
|
[_] Wiring up Django Packages
|
[_] Applied Parallel Computing with Python
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Great America Floor 2B R1 |
Great America Floor 2B R2 |
Great America Floor 2B R3 |
Great America J |
Great America K |
Mission City M1 |
Mission City M2 |
Mission City M3 |
Mission City |
Grand Ballroom AB |
Grand Ballroom CD |
Grand Ballroom EF |
Grand Ballroom GH |
Great America |
Poster-1 |
Poster-2 |
Poster-3 |
Poster-4 |
Fri 15 |
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09:00 |
|
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[_] Opening Statements
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09:30 |
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[_] Keynote
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10:50 |
|
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[_] Gittip: Inspiring Generosity
|
[_] How the Internet works
|
[_] Messaging at Scale at Instagram
|
[_] Composability Through Multiple Inheritance
|
[_] How to Except When You're Excepting
|
[_] The Naming of Ducks: Where Dynamic Types Meet Smart Conventions
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11:30 |
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[_] Funding and Coordinating Python Projects via Non-Profits
|
[_] Scrapy: it GETs the web
|
[_] This Old Video Site: How PBS streams video - and you can too!
|
[_] The End Of Object Inheritance & The Beginning Of A New Modularity
|
[_] Rethinking Errors: Learning from Scala and Go
|
[_] Windows 8 Apps and Python (Making Money in the Windows App Store)
|
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12:10 |
|
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[_] So you want to write an interpreter?
|
[_] The Magic of Metaprogramming
|
[_] Making DISQUS Realtime.
|
[_] Better Documentation Through Automation: Creating Sphinx Extensions
|
[_] API Design for Library Authors
|
[_] Kivy: Building GUI and Mobile apps with Python
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01:40 |
|
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|
[_] You can be a speaker at PyCon!
|
[_] Python: A "Toy" Language
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[_] Python 3.3: Trust Me, It's Better than 2.7
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01:55 |
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[_] PyPy without the GIL
|
[_] Measuring and modeling the complexity of children's books
|
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[_] Twisted Logic: Endpoints and Why You Shouldn't Be Scared of Twisted
|
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|
02:35 |
|
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|
[_] sys._current_frames(): Take real-time x-rays of your software for fun and performance
|
[_] Fighting Cancer with Python
|
[_] Loop like a native: while, for, iterators, generators
|
[_] Encapsulation with descriptors
|
[_] Visualizing Github, Part I: Data to Information
|
[_] Using futures for async GUI programming in Python 3.3
|
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03:15 |
|
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|
[_] The SQLAlchemy Session - In Depth
|
[_] Blame it on Caesar: What you need to know about dates, times and time zones
|
[_] Python Profiling
|
[_] Music Theory and Performance Analysis with Sebastian and Czerny
|
[_] Visualizing Github, Part II: Information to Meaning
|
[_] The Guts of Unicode in Python
|
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04:15 |
|
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|
[_] Awesome Big Data Algorithms
|
[_] Deploy your Python app in 5 min with a PaaS
|
|
[_] Transforming Code into Beautiful, Idiomatic Python
|
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|
04:30 |
|
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|
[_] Elasticsearch (Part 1): Indexing and Querying
|
[_] If You Code, You Should Write
|
|
|
[_] EduPsych Theory for Python Hackers: A Whirlwind Overview
|
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|
05:10 |
|
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|
[_] Whoosh, the open-source Python search library
|
[_] Write the Docs
|
[_] SimpleCV - Computer Vision using Python
|
[_] Make More Responsive Web Applications with SocketIO and gevent
|
[_] Planning and Tending the Garden: The Future of Early Childhood Python Education
|
[_] Functional Programming with Python
|
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|
05:15 |
|
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[_] The future of Linux Containers
|
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05:30 |
|
|
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|
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|
[_] Friday evening lightning talks
|
|
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|
|
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|
|
|
Great America Floor 2B R1 |
Great America Floor 2B R2 |
Great America Floor 2B R3 |
Great America J |
Great America K |
Mission City M1 |
Mission City M2 |
Mission City M3 |
Mission City |
Grand Ballroom AB |
Grand Ballroom CD |
Grand Ballroom EF |
Grand Ballroom GH |
Great America |
Poster-1 |
Poster-2 |
Poster-3 |
Poster-4 |
Sat 16 |
|
08:15 |
|
|
|
|
|
|
|
|
[_] Saturday morning lightning talks
|
|
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09:00 |
|
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[_] Keynote
|
|
|
|
|
|
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|
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|
09:40 |
|
|
|
|
|
|
|
|
[_] Keynote
|
|
|
|
|
|
|
|
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|
10:50 |
|
|
|
|
|
|
|
|
[_] Boundaries
|
[_] 5 powerful pyramid features
|
[_] Python for Robotics and Hardware Control
|
[_] Getting started with automated testing
|
[_] Python's Law
|
[_] So Easy You Can Even Do It in JavaScript: Event-Driven Architecture for Regular Programmers
|
|
|
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|
11:30 |
|
|
|
|
|
|
|
|
[_] Scaling community diversity outreach
|
[_] Pyramid Auth Is Hard, Let's Ride Bikes
|
[_] Who’s there? - Home Automation with Arduino/RaspberryPi
|
[_] Things to make writing tests easier
|
[_] Copyright and You
|
[_] Cython vs SWIG, Fight!
|
|
|
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|
12:10 |
|
|
|
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|
|
|
|
[_] What teachers really need from us
|
[_] Dispatch Magic
|
[_] Building an image processing pipeline with Python
|
[_] Mobile Application Testing with Python and Selenium
|
[_] Why you should use Python 3 for text processing
|
[_] Death by a thousand leaks: what statically-analysing 370 Python extensions looks like
|
|
|
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|
01:40 |
|
|
|
|
|
|
|
|
|
|
[_] Designers + Developers: Collaborating on your Python project
|
[_] Solid Python Application Deployments For Everybody
|
|
[_] Panel: Directions for Packaging
|
|
|
|
|
01:55 |
|
|
|
|
|
|
|
|
[_] How (Not) To Build An OSS Community
|
[_] Python at Netflix
|
|
|
[_] Teaching with the IPython Notebook
|
|
|
|
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|
02:35 |
|
|
|
|
|
|
|
|
[_] Who are we? A sociological analysis of the indigenous Python tribe
|
[_] Customizing the Django Admin: The How and the Why
|
[_] Logical Failures
|
[_] Chef: Automating web application infrastructure
|
[_] Building full-stack scientific applications in Python
|
[_] Location, Location, Location
|
|
|
|
|
03:15 |
|
|
|
|
|
|
|
|
[_] Community Event Planning
|
[_] Beyond Passwords: Secure Authentication with Mozilla Persona
|
[_] Let Them Configure!
|
[_] Making Apache suck less for hosting Python web applications.
|
[_] Numba: A Dynamic Python compiler for Science
|
[_] Realtime Tracking and Mapping of Geographic Objects using Python
|
|
|
|
|
04:15 |
|
|
|
|
|
|
|
|
|
|
[_] All-Singing All-Dancing Python Bytecode
|
[_] Crypto 101
|
|
[_] Python's Class Development Toolkit
|
|
|
|
|
04:30 |
|
|
|
|
|
|
|
|
[_] Sink or swim: 5 life jackets to throw to New Coders
|
[_] Porting Django apps to Python 3
|
|
|
[_] Python for Humans
|
|
|
|
|
|
05:10 |
|
|
|
|
|
|
|
|
[_] Lessons Learned in Teaching Python
|
[_] Asset Management in Python
|
[_] MTO On Blast: Using Python's Natural Language Toolkit to Model Gossip Blogs
|
[_] What is the Python Software Foundation?
|
[_] Integrating Jython with Java
|
[_] Dynamic Code Patterns: Extending Your Applications with Plugins
|
|
|
|
|
05:30 |
|
|
|
|
|
|
|
|
[_] Saturday evening lightning talks
|
|
|
|
|
|
|
|
|
|
|
Great America Floor 2B R1 |
Great America Floor 2B R2 |
Great America Floor 2B R3 |
Great America J |
Great America K |
Mission City M1 |
Mission City M2 |
Mission City M3 |
Mission City |
Grand Ballroom AB |
Grand Ballroom CD |
Grand Ballroom EF |
Grand Ballroom GH |
Great America |
Poster-1 |
Poster-2 |
Poster-3 |
Poster-4 |
Sun 17 |
|
08:30 |
|
|
|
|
|
|
|
|
[_] Sunday morning lightning talks
|
|
|
|
|
|
[_] Collecting & Analyzing Financial Data
|
[_] Serpint - Controlling Raspberry Pi GPIO with a Serial Port/Socket
|
[_] Mark
|
[_] Reverse Engineering the Internet of Things
|
08:37 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] Connecting Disparate Data Sources with Toothpick
|
[_] Hermes - Python messaging at Spotify
|
[_] Mutation Testing in Python
|
[_] Retrieving Meaning from Words
|
08:44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] DaNKInDaB - A New Approach to Servers
|
[_] Luigi - Batch Data Processing in Python
|
[_] Mining Twitter Feeds
|
[_] Responsive Web Apps with Unreliable HTTP Requests Inside the Request/Response Cycle
|
08:56 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] Darkserver: Help to Debug Userspace
|
[_] Developing an Early College IT/CS/Math Program Using Python
|
[_] Is Python Beginner Friendly?
|
[_] We Have, We Need - Disaster Relief in the Modern World
|
09:00 |
|
|
|
|
|
|
|
|
[_] Keynote
|
|
|
|
|
|
|
|
|
|
09:03 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] Biomedical Ontologies with Python
|
[_] GR - A Universal Framework for Visualization Applications
|
[_] Powering Recommendations with Distributed Computing using Python and MapReduce
|
[_] The State of PyCscope
|
09:10 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] Biological Data Integration and Application for Personalized Cancer Treatment
|
[_] Fusing Online and Face-to-Face Social Networks with Python and RFIDs
|
[_] Pony Object-Relational Mapper
|
[_] Teaching Python to Young Adults - "Invent with Python"
|
09:17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] Beginners Welcome: From Zero to GUIs in Four Months, via Writing a Tutorial
|
[_] Enabling High Throughput Immunobiology by Integrating Django, numpy, matplotlib, and SQLAlchemy
|
[_] Plone, the Python CMS
|
[_] Spatial Clustering in Python
|
09:20 |
|
|
|
|
|
|
|
|
[_] Keynote
|
|
|
|
|
|
|
|
|
|
09:24 |
|
|
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|
|
[_] Atabox
|
[_] Django Appointment Slots
|
[_] Next-Generation Immunobiology Data Integration, Analysis and Visualization
|
[_] Mystic: A Framework for Predictive Science
|
09:31 |
|
|
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|
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|
|
|
[_] "Web Scale" Global Server Load Balancing
|
[_] A Fast and Efficient Python Development Process for Small Teams
|
[_] Mypy: Optional Static Typing for Python
|
[_] XBlock: Courseware Components from edX
|
09:38 |
|
|
|
|
|
|
|
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|
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|
|
|
|
[_] Data Classification Using Python, Django and R
|
[_] David vs Goliath: Fighting Big Budgets with Python
|
[_] Python, CSS, and Genetic Algorithms
|
[_] Why Pyramid is awesome: the example of Facebook applications
|
09:45 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
[_] An Introspective Hypervisor for Software Analysis
|
[_] Deploying Scalable Django Stacks to the Cloud with Juju
|
[_] Python XMPP
|
[_] rpy2: Use R from the Comfort of Python
|
09:50 |
|
|
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|
[_] Rhys interviews CYAN
|
09:52 |
|
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|
|
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|
|
|
|
|
|
[_] ApsimRegions: A Gridded Modeling Framework for the APSIM Crop Model
|
[_] Livecode Python Training Tools at Bank of America
|
[_] PyOracle - Analysis of Musical Structure Using Python
|
|
09:59 |
|
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|
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|
[_] Soundscape from Ocean Color Satellite Data
|
|
01:10 |
|
|
|
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|
|
|
|
[_] Plover: Thought to Text at 240 WPM
|
[_] Iteration & Generators: the Python Way
|
[_] Elasticsearch (Part 2): Configuration and Deployment
|
[_] Distributed Coordination with Python
|
[_] How Import Works
|
[_] ApplePy: An Apple ][ emulator in Python
|
|
|
|
|
01:50 |
|
|
|
|
|
|
|
|
[_] Using Python to Code by Voice
|
[_] "Good enough" is good enough!
|
[_] Going beyond the Django ORM limitations with Postgres
|
[_] Become a logging expert in 30 minutes
|
[_] Worry-Free Parsers with Parsley
|
[_] PyNES: Python programming for Nintendo 8 bits.
|
|
|
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|
02:30 |
|
|
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|
|
|
|
[_] Internationalization and Localization Done Right
|
[_] Namespaces in Python
|
[_] A Crash Course in MongoDB
|
[_] Purely Python Imaging with Pymaging
|
[_] Server Log Analysis with Pandas
|
[_] Use curses, don't swear
|
|
|
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|
03:10 |
|
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|
[_] Closing Address
|
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03:30 |
|
|
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|
|
[_] Sunday evening lightning talks
|
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|
06:55 |
|
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|
[_] Catherine at the Poster Session
|