Vídeos PyCon 2015
Entre el 8 y el 16 de abril, se celebró en Montreal la conferencia más distinguida enfocada al lenguaje de programación Python: PyCon 2015.
La lista de charlas es bastante amplia y tocan todo tipo de temas alrededor de Python. Si te interesa este lenguaje de programación que tan de moda está, aquí tienes material de sobra para pasar un buen rato:
- Keynote - Guido van Rossum
- Keynote - Gabriella Coleman
- Type Hints - Guido van Rossum
- Closing Messages
- Jim Baker - Getting to Jython 2.7 and beyond
- Mike Howsden - Zen of Quality - How PBS measures QoS for digital viewers
- Luke Sneeringer - Improve your development environments with virtualization
- Thomas Ballinger - Terminal whispering
- Geoff Gerrietts - Performance by the Numbers: analyzing the performance of web applications
- Curtis Lassam - Hash Functions and You: Partners in Freedom
- Mica Swyers, Jay Chan - Finding Spammers & Scammers through Rate Tracking with Python & Redis
- Christine Spang - WebSockets from the Wire Up
- Tom Eastman - Serialization formats are not toys
- ---Incomplete talk --- A. Jesse Jiryu Davis - Python Performance Profiling: The Guts And The Glory
- Pete Fein - Free Software, Free People
- Sarah Bird - Interactive data for the web - Bokeh for web developers
- Andrew Montalenti - streamparse: real-time streams with Python and Apache Storm
- Ying Li - Where in your RAM is "python san_diego.py"?
- Hynek Schlawack - Beyond grep: Practical Logging and Metrics
- Smart services & smart clients: How micro-services change the way you build and deploy code.
- Christine Spang - To ORM or not to ORM
- Keynote - Jacob Kaplan-Moss - Pycon 2015
- Keynote - Van Lindberg - Pycon 2015
- Lightning Talks - April 11th 17h30 - Pycon 2015
- Lightning Talks - April 12th 08h30 - Pycon 2015
- Kathleen Danielson - Avoiding Burnout, and other essentials of Open Source Self-Care
- Jim Baker - A Winning Strategy with The Weakest Link: how to use weak references…
- Colton Myers - Managing Your Infrastructure with SaltStack
- Nicholas Tollervey - Lessons learned with asyncio ("Look ma, I wrote a distributed hash table!")
- Clayton Parker - So you think you can PDB?
- Sasha Laundy - Your Brain's API: Giving and Getting Technical Help
- Brandon Rhodes - Oh, Come On Who Needs Bytearrays
- A. Jesse Jiryu Davis - Eventually Correct: Testing Async Apps
- Matt Makai, Kate Heddleston - Choose Your Own WSGI Deployment Adventure
- Alex Gaynor - Techniques for Debugging Hard Problems
- Allison Kaptur - Exploring is never boring: understanding CPython without reading the code
- Carina C. Zona - Schemas for the Real World
- Daniel Vanderkam - Make web development awesome with visual diffing tools
- Laura Rupprecht - Describing Descriptors
- Domen Kožar - Rethinking packaging, development and deployment
- Elizabeth Ramirez - Graph Database Patterns in Python
- en zyme, Jon Henner - Pythons are Deaf, So are Some Pythonistas
- Olivier Grisel - Build and test wheel packages on Linux, OSX & Windows
- Dan Tracy - Ship it: Deployments with Pip
- Glyph - The Ethical Consequences Of Our Collective Activities
- Allison Kaptur - Bytes in the Machine: Inside the CPython interpreter
- Ian Cordasco - Cutting Off the Internet: Testing Applications that Use Requests
- James Cammarata - Achieving Continuous Delivery: An Automation Story
- Mali Akmanalp - Other people's messy data (and how not to hate it!)
- Richard Jones - Introduction to game programming with Kivy
- Christophe Pettus - PostgreSQL Proficiency for Python People
- Jarret Raim, Paul Kehrer - What to do when you need crypto
- Making Beautiful Graphs in Python and Sharing Them
- Olivier Grisel - Machine Learning with Scikit-Learn (II)
- Orlando Karam - Introduction to Spark with python
- Brandon Rhodes - Pandas From The Ground Up
- Stuart Williams - Python by Immersion
- Katie Cunningham - Usability Testing on the Cheap
- Shauna Gordon-McKeon - Open Source for Newcomers and the People Who Want to Welcome Them
- Itamar Turner-Trauring - A Beginner's Guide to Test-driven Development
- Ned Batchelder - Facts and Myths about Python names and values
- Andrew T. Baker - Demystifying Docker
- Nina Zakharenko - Technical Debt - The code monster in everyone's closet
- Carol Willing - Finding Your Groove: Contributing to CPython and Beyond
- Philip James, Asheesh Laroia - Type python, press enter. What happens?
- Kate Heddleston - How our engineering environments are killing diversity (and how we can fix it).
- Michael Scherer - Ansible beyond YAML
- Andreas Dewes - Learning from other's mistakes: Data-driven analysis of Python code
- Dan Crosta - Good Test, Bad Test
- Amy Hanlon - Investigating Python Wats
- Greg Ward - How to Write Reusable Code
- Julia Evans - Systems programming as a swiss army knife
- Lightning Talks - April 11th 8h30- Pycon 2015
- Lightning Talks - April 10th - Pycon 2015
- Sarina Canelake - I18N: World Domination the Easy Way
- Josh Triplett - Porting Python to run without an OS
- How to build a brain with Python
- Jeff Schenck - The REST Ascendancy
- Fire your supervisord running Python apps on CoreOS
- Chris McDonough - Using Supervisor For Fun And Profit
- Renee Chu, Matt Makai - Don't Make Us Say We Told You So: virtualenv for New Pythonistas
- Losing your Loops Fast Numerical Computing with NumPy
- Melanie Warrick - Neural Nets for Newbies
- Raymond Hettinger - Super considered super!
- Jenny Cheng - 3D Print Anything with the Blender API
- Titus Brown - How to interpret your own genome using (mostly) Python.
- Miguel Grinberg - Is Your REST API RESTful?
- Kenny Yarboro - Building a REST API Using Django & Django REST Framework
- Dan Callahan - My Python's a little Rust-y
- Miriam Lauter - Make your own Smart Air Conditioner
- Michelle Fullwood - Grids, Streets and Pipelines: Building a linguistic street map with scikit-learn
- Katherine Scott - Robots Robots Ra Ra Ra!!!
- What Python can learn from Erlang
- Chris Waigl - Satellite mapping for everyone
- lvh - Distributed Systems 101
- David Beazley - Python Concurrency From the Ground Up: LIVE!
- David Baumgold - Advanced Git
- Brett Cannon - How to make your code Python 2/3 compatible
- Raymond Hettinger - Beyond PEP 8 -- Best practices for beautiful intelligible code
- Soups Ranjan - Data Science in Advertising: Or a future when we love ads
- Cory Benfield - Hyperactive: HTTP/2 and Python
- Benjamin Peterson - A Dive into TLS
- Donald Miner - Hadoop with Python
- Andrew Godwin - What can programmers learn from pilots?
- Ryan Kelly - PyPy.js: What? How? Why?
- Ashwini Oruganti, Christopher Armstrong - Introduction to HTTPS: A Comedy of Errors
- Viviane Pons - Experimental pure mathematics using Sage
- Miguel Grinberg - Flask Workshop
- Brett Slatkin - How to Be More Effective with Functions
- lvh - Building secure systems
- Kyle Kastner - Machine Learning 101
- Kurt Grandis - Exploring Minecraft and Python: Learning to Code Through Play
- Adam Palay - "Words, words, words": Reading Shakespeare with Python
- Hands-on with Pydata: how to build a minimal recommendation engine.
- Keynote - Catherine Bracy
- Sarah Guido, Celia La - Twitter Network Analysis with NetworkX
- David Beazley - Modules and Packages: Live and Let Die!
- Opening Statements - Julia Evans
- Allen Downey - Statistical inference with computational methods
- James Bennett - Django in Depth
- Stuart Williams - Python Epiphanies
- Mike Müller - Descriptors and Metaclasses - Understanding and Using Python's More Advanced Features
- Luke Sneeringer - Ansible 101
- David Chudzicki, Christine Doig - Winning Machine Learning Competitions With Scikit-Learn
- Getting comfortable with web security: A hands-on session
- Allen Downey - Bayesian statistics made simple
- Sarah Guido - Hands-on Data Analysis with Python
- Jacinda Shelly - Delving into the Django Admin
- IPython & Jupyter in depth: high productivity interactive and parallel python
- Shiny, Let's Be Bad Guys: Exploiting and Mitigating the Top 10 Web App Vulnerabilities
- Eric Ma - Practical Graph/Network Analysis Made Simple
- Harry Percival - TDD with Django, from scratch: a beginner's intro to testing and web development
- Jake VanderPlas - Machine Learning with Scikit-Learn (I)
- Andrew T. Baker - Docker 101: Introduction to Docker
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