Archives for April 2015

Training a machine learning model with scikit-learn

Oliver Nagy - A Game Engine For Engineers

PEP 492

Python and React.js live coding session

Transducers and Python

Using DataRobot SDK to estimate task lifetime

"Vagga" - a containerisation tool without daemons

Vulyk, crowdsourcing framework

Adam Ginsburg - Astroquery

Althea Moorhead - Meteor Shower Identification and Classification with Python

Andy R. Terrel and Christine Doig - Building Python Data Applications with Blaze and Bokeh

Andy R. Terrel - Python in Scientific Research

Ben Zaitlen - Odo - Shape Shifting Data—A Handy Tool to Guide You from CSV HDFS and Beyond

Brigitta Sipocz - PhotUtils

Bryan Van De Ven - Bokeh Tutorial

Bugra Akyildiz - A Thorough Machine Learning Pipeline via Scikit Learn

Chengkai Li - Data Science for Computational Journalism

Chenyi Hu - A Python Module for Data Analytics with Interval Computing

Chou-han Yang - Briefly - A Python DSL to Scale Complex Mapreduce Pipelines

Christine Doig - Reproducible Multi language Data Science with Conda

Cliff Click - H₂O Machine Learning

Dana Bauer - Death and Open Data - Conquering Your Fears And Sharing Your Data

Daniel Lathrop - Python for the News

David Perez Suarez - Recipy

Edward Gomez - Python and Robotic Telescopes

Emille Ishida - COIN Methodology and software for cosmology

Erik Tollerund - The Astropy Project

James Powell - CPython Meanderings

James Powell - Integration With the Vernacular the NumPy Approach

Jason Vertrees - Introducing the World of Commercial Real Estate Data to App Developers

Jeb Stone, Jigar Mistry and Rohan Patil - Social Media Analysis in Python

Joe Zuntz - Multilingual Python plugin architecture for cosmology

Jon Riehl - Python is for the Curious

Kelle Cruz - Building the community of Python users in Astronomy

Kyle Kelley - To the Future with Jupyter

Kyle Maxwell - Using Python to Fight Cybercrime

Lightning Talks 1

Lightning Talks 2

Lightning Talks 3

Matthew Craig - Astropy with undergraduates

Meltem Ballan - Transitioning an idea from Academia to Commercialization A Startup Story

Nadia Dencheva - Generalized World Coordinate System

Paige Bailey - There's No Place Like Home - Analyzing HPD Police Beat Data with Python and ArcGIS

Paul Ingram - Calling Distributed Python from Inside SQL

Paul Joireman - Assimilation - From C to Python

Perry Greenfield - The Development and Future of Python at STScI

Peter Wang - State of the Py, 2015 Keynote

Phillip Cloud - Blaze in the Real World

Prabhu Saiprabhu "Sai" - Hashtag Buddies

Rajat Arya and Yucheng Low - Building Machine Learning Applications in Python

Rajat Arya - Deploying scikit learn Models in Production

Stuart Mumford - PythonTex

Stuart Mumford - SunPy: Python for Solar Physics

Vanessa Moss - arXiver

Victor Terron - LEMON: A differential photometry pipeline

Vivian Zhang - Python Data Analytics Workshop - NumPy, pandas, matplotlib, and SciPy

Volodymyr Kazantsev - Beyond t tests - How to Conclude an Online Experiment Using Python

Yucheng Low - SFrame - A Scalable, Out of Core Dataframe for Machine Learning

Как скачать статистику игроков World of Tanks

Machine learning with Python

Python AST

Industrial uses of Scikit-Learn (business roundtable)

Out-of-core NumPy arrays without changing your code with wendelin-core

Getting started in scikit-learn with the famous iris dataset

Numba, a JIT compiler for fast numerical code

Pythran: Static Compilation of Parallel Scientific Kernels

Keynote - Gabriella Coleman

Keynote - Guido van Rossum

scikit-learn for predictive maintenance at Airbus

Using Python and Data science to tackle real-time transportation problems at Lyft

Python, SQLalchemy and Scrapy for real-time data processing at Kpler

Setting up Python for machine learning: scikit-learn and IPython Notebook

Embarrassingly parallel database calls with Python

Industrial Monitoring with the Wendelin Big Data platform

Simulating and visualising commuter flow through the London Underground

Why and how to explain machine learning predictions

Datacratic's Machine Learning Database (MLDB)

Deep dive into Docker storage drivers

Introduction to Pandas

Mercurial, with real python bites

Reaching your DREAMs with Python

Scalable Machine Learning in Python using GraphLab Create

Technical Debt - The code monster in everyone's closet

Tree models with scikit-learn

What's new in scikit-learn 0.16 and what's cooking...

A Winning Strategy with The Weakest Link: how to use weak references to make your code more robust

Achieving Continuous Delivery: An Automation Story

Avoiding Burnout, and other essentials of Open Source Self-Care

Beyond grep: Practical Logging and Metrics

Build and test wheel packages on Linux, OSX & Windows

Bytes in the Machine: Inside the CPython interpreter

Choose Your Own WSGI Deployment Adventure

Closing Messages

Cutting Off the Internet: Testing Applications that Use Requests

Describing Descriptors

Eventually Correct: Testing Async Apps

Exploring is never boring: understanding CPython without reading the code

Finding Spammers & Scammers through Rate Tracking with Python & Redis

Free Software, Free People

Getting to Jython 2.7 and beyond

Graph Database Patterns in Python

Gradual Typing for Python 3

Hash Functions and You: Partners in Freedom

Improve your development environments with virtualization

Interactive data for the web

Introduction to game programming with Kivy

Introduction to Spark with python

Keynote - Jacob Kaplan-Moss

Keynote - Van Lindberg - Pycon 2015

Lessons learned with asyncio ("Look ma, I wrote a distributed hash table!")

Lightning Talks - April 11th 17h30

Lightning Talks - April 12th 08h30

Machine Learning with Scikit-Learn (II)

Make web development awesome with visual diffing tools

Making Beautiful Graphs in Python and Sharing Them

Managing Your Infrastructure with SaltStack

Oh, Come On Who Needs Bytearrays

Other people's messy data (and how not to hate it!)

Pandas From The Ground Up

Performance by the Numbers: analyzing the performance of web applications

PostgreSQL Proficiency for Python People

Python Performance Profiling: The Guts And The Glory

Pythons are Deaf, So are Some Pythonistas

Rethinking packaging, development and deployment

Schemas for the Real World

Serialization formats are not toys

Ship it: Deployments with Pip

Smart services & smart clients: How micro-services change the way you build and deploy code.

So you think you can PDB?

streamparse: real-time streams with Python and Apache Storm

Techniques for Debugging Hard Problems

Terminal whispering

The Ethical Consequences Of Our Collective Activities

To ORM or not to ORM

WebSockets from the Wire Up

What to do when you need crypto

Where in your RAM is "python san_diego.py"?

Your Brain's API: Giving and Getting Technical Help

Zen of Quality

3D Print Anything with the Blender API

A Beginner's Guide to Test-driven Development

Advanced Git

Ansible beyond YAML

Beyond PEP 8 -- Best practices for beautiful intelligible code

Building a REST API Using Django & Django REST Framework

Building secure systems

Data Science in Advertising: Or a future when we love ads

Demystifying Docker

Distributed Systems 101

Don't Make Us Say We Told You So: virtualenv for New Pythonistas

Experimental pure mathematics using Sage

Exploring Minecraft and Python: Learning to Code Through Play

Facts and Myths about Python names and values

Finding Your Groove: Contributing to CPython and Beyond

Fire your supervisord running Python apps on CoreOS

Flask Workshop

Good Test, Bad Test

Grids, Streets and Pipelines: Building a linguistic street map with scikit-learn

Hadoop with Python

Hands-on with Pydata: how to build a minimal recommendation engine.

How our engineering environments are killing diversity (and how we can fix it).

How to Be More Effective with Functions

How to build a brain with Python

How to interpret your own genome using (mostly) Python.

How to make your code Python 2/3 compatible

How to Write Reusable Code

Hyperactive: HTTP/2 and Python

I18N: World Domination the Easy Way

Introduction to HTTPS: A Comedy of Errors

Investigating Python Wats

Is Your REST API RESTful?

Learning from other's mistakes: Data-driven analysis of Python code

Lightning Talks - April 10th

Lightning Talks - April 11th 8h30

Losing your Loops Fast Numerical Computing with NumPy

Machine Learning 101

Make your own Smart Air Conditioner

My Python's a little Rust-y

Neural Nets for Newbies

Open Source for Newcomers and the People Who Want to Welcome Them

Porting Python to run without an OS

PyPy.js: What? How? Why?

Python by Immersion

Python Concurrency From the Ground Up: LIVE!

Robots Robots Ra Ra Ra!!!

Satellite mapping for everyone

Super considered super!

Systems programming as a swiss army knife

Technical Debt

The REST Ascendancy

The (Slightly) Less Sorry State of SSL

Type python, press enter. What happens?

Usability Testing on the Cheap

Using Supervisor For Fun And Profit

What can programmers learn from pilots?

What Python can learn from Erlang

"Words, words, words": Reading Shakespeare with Python

Ansible 101

Bayesian statistics made simple

Cleaning Confused Collections of Characters

Closing Keynote - Francesc Alted, UberResearch GmbH

Delving into the Django Admin

Descriptors and Metaclasses

Django in Depth

Getting comfortable with web security: A hands-on session

Hands-on Data Analysis with Python

Introduction to scikit-image

Keynote - Catherine Bracy

Modules and Packages: Live and Let Die!

Opening Statements - Julia Evans

Python Epiphanies

Statistical inference with computational methods

Twitter Network Analysis with NetworkX

Winning Machine Learning Competitions With Scikit-Learn

Docker 101: Introduction to Docker

IPython & Jupyter in depth: high productivity interactive and parallel python

Machine Learning with Scikit-Learn (I)

Opening Keynote - Gaël Varoquaux, Inria

Practical Graph/Network Analysis Made Simple

Shiny, Let's Be Bad Guys: Exploiting and Mitigating the Top 10 Web App Vulnerabilities

TDD with Django, from scratch: a beginner's intro to testing and web development

Linear predictions with scikit-learn: simple and efficient

Metaprogramación Práctica

What is machine learning, and how does it work?

Breve presentación de SAGE

Buildout: Creando y desplegando configuraciones repetibles en python

Clases en Python: Lo estas haciendo mal

Concurrencia de I/O en python

El problema C10K, la nube y la supercomputación

Fabric: Más alla de lo básico

Fifty shades of docker

Generators will free your mind

Gestión del ciclo de vida de un proyecto desde el propio repositorio

Hackeando el notebook de ipython

Introduction to large scale data analytics and interactive visualization

Lightning talks 2014-11-08 13:00

Lightning talks 2014-11-08 19:30

Lightning talks 2014-11-09 13:00

Method dispatching techniques in python

Métodos mágicos en python3

Por qué Charles Xavier debe cambiar Cerebro por Python

Procesamiento del lenguaje natural en python

Programación funcional con Python

PyBot + RoboEarth

PyBykes

Python on a Plane

Speed without drag

Técnicas avanzadas de Scrapy

Ticketea

Torque: Python y analisis de datos