Videos de la PyCon 2014
PyCon es probablemente la mayor conferencia sobre el lenguaje de programación Python. Aunque la edición actual, 2014, está todavía en proceso (hasta el 17 de abril), ya se han publicado los vídeos de las charlas celebradas entre los días 11 y 13 de abril.
La lista de vídeos está disponible en PyVideo.org y os la dejo a continuación:
- 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
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