Video’s from PyCon 2014 Montreal

• 2D/3D graphics with Python on mobile platforms
• Advanced techniques for Web functional testing
• Analyzing Rap Lyrics with Python
• A Scenic Drive through the Django Request-Response Cycle
• Building the App
• Cheap Helicopters In My Living Room
• Closing address – PyCon 2014 (2014/04/13)
• Data intensive biology in the cloud: instrumenting ALL the things
• Deliver Your Software In An Envelope
• Designing Django’s Migrations
• Designing Poetic APIs
• Developing Flask Extensions
• Discovering Python
• Diving into Open Data with IPython Notebook & Pandas
• Django: The good parts
• Farewell and Welcome Home: Python in Two Genders
• Fast Python, Slow Python
• Games for Science: Creating interactive psychology experiments
• Garbage Collection in Python
• Getting Started Testing
• Hitchhikers Guide to Participating in Open Source
• In Depth PDB
• Introduction to Docker
• Introduction to SQLAlchemy Core
• It’s Dangerous to Go Alone: Battling the Invisible Monsters in Tech
• Keynote – Fernando Pérez
• Keynote – Guido Van Rossum
• Keynote – Jessica McKellar
• Keynote – Van Lindberg
• Know Thy Neighbor: Scikit and the K-Nearest Neighbor Algorithm
• Lightning talks – Saturday morning
• Lightning talks – Sunday morning
• Localization Revisited
• Multi-factor Authentication – Possession Factors
• My big gay adventure. Making, releasing and selling an indie game made in python.
• Outreach Program for Women: Lessons in Collaboration
• Performance Testing and Profiling: A Virtuous Cycle
• Postgres Performance for Humans
• PostgreSQL is Web Scale (Really )
• Programming an Autonomous 20 Foot Blimp with Python
• Pushing Python: Building a High Throughput, Low Latency System
• Python in the Browser: Intro to Brython
• Python packaging simplified, for end users, app developers
• Quick Wins for Better Website Security
• REST is not enough: Using Push Notifications to better support your mobile clients
• Sane schema migrations with Alembic and SQLAlchemy
• See Docs Run. Run, Docs, Run!
• Set your code free: releasing and maintaining an open-source Python project
• Smart Dumpster: Employing Python to Report Real-Time Resource
• Software Carpentry: Lessons Learned
• Software Engineering Research for Hackers: Bridging the Two Solitudes
• So You Want to Build an API?
• Subprocess to FFI: Memory, Performance, and Why You Shouldn’t Shell Out
• Technical on-boarding, training, and mentoring.
• The Day of the EXE Is Upon Us
• The Sorry State of SSL
• Track memory leaks in Python
• Unit Testing Makes Your Code Better
• Upgrade your Web Development Toolchain
• What is coming in Python packaging
• Which messaging layer should you use if you want to build
• Writing RESTful web services with Flask
• Advanced methods for creating decorators
• All Your Ducks In A Row: Data Structures in the Standard Library and Beyond
• An Introduction to Twisted
• Ansible – Python-Powered Radically Simple IT Automation
• Application Deployment State of the Onion
• Bayesian statistics made simple
• Beyond Defaults: Creating Polished Visualizations Using Matplotlib
• Blending art, technology, and light, Python for interactive and real time
• Building and breaking a Python sandbox
• Build your own PiDoorbell! – Learn Home Automation with Python
• By Your Bootstraps: Porting Your Application to Python3
• Cache me if you can: memcached, caching patterns and best practices
• Castle Anthrax: Dungeon Generation Techniques
• Character encoding and Unicode in Python
• Computer science fundamentals for self-taught programmers
• Contribute with me! Getting started with open source development
• Data Wrangling for Kaggle Data Science Competitions — An etude
• Decorators: A Powerful Weapon in your Python Arsenal
• Distributed Computing Is Hard, Lets Go Shopping
• Distributed task processing using Celery
• Django for Web Designers and Front End Developers
• Dynamics and Control with Python
• Enough Machine Learning to Make Hacker News Readable Again
• Fan-in and Fan-out: The crucial components of concurrency
• Faster Python Programs through Optimization
• Flask by Example
• For Lack of a Better Name(server): DNS Explained.
• Generators: The Final Frontier
• Getting Hy on Python: How to implement a Lisp front-end to Python
• Getting Started with SaltStack
• Hands-on with Pydata: how to build a minimal
• Hello Physical World: A Crash Course on the Internet of Things
• How to Get Started with Machine Learning
• Import-ant Decisions
• Improving automated testing with py.test
• Introduction to game programming
• Introduction to Regular Expressions
• Introduction to SQLAlchemy
• Introduction to Web (and data!) Scraping with Python
• IPython in depth: high productivity interactive and parallel python
• Keynote – John Perry Barlow
• Kneel And Disconnect: Getting The Fastest Connection Out Of A Hostname
• Let’s Learn Twisted Python
• Lightning talks – Saturday Evening
• Pickles are for Delis, not Software
• PostgreSQL Proficiency for Python People
• Puppet Modules: Apps for Ops
• Python 3/2 Web Development with Pyramid
• Python for Social Scientists
• Python + Geographic Data = BFFs
• Python Scraping Showdown: A performance and accuracy review
• Realtime predictive analytics using scikit-learn & RabbitMQ
• Search 101: An Introduction to Information Retrieval
• Shiny, Let’s Be Bad Guys: Exploiting and Mitigating the Top 10
• So you want to be a full-stack developer? How to build a full-stack python
• Straightening Out AngularJS with Python
• TDD for web applications, from scratch
• Teaching Python: To Infinity and Beyond
• The Python Pipeline: Why you should reach out to local teachers
• The State of Crypto in Python
• The Young Coder: Let’s Learn Python
• Turn Your Computer Into a Server
• Twisted Mixing
• What Is Async, How Does It Work, And When Should I Use It?
• 0 to 00111100 with web2py
• Descriptors and Metaclasses – Understanding and Using Python’s More Advanced Features
• Diving deeper into Machine Learning with Scikit-learn
• Exploring Machine Learning with Scikit-learn
• Getting Started with Django, a crash course
• Hands-on intro to Python for beginning programmers
• How to formulate a (science) problem and analyze it using Python code
• Lightning talks – Saturday morning
• Mining Social Web APIs with IPython Notebook
• mrjob: Snakes on a Hadoop
• Opening Statements – PyCon 2014 (2014/04/11)
• Python Epiphanies