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Speaker: Ned Jackson Lovely

It's inevitable that online communities will change, and that we'll remember the community with a fondness that likely doesn't accurately reflect the former reality. We'll explore how we can take a set of articles from an online community and winnow out the stuff we feel is unworthy. We'll explore some of the machine learning tools that are just a "pip install" away, such as scikit-learn and nltk.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Ying Li

A brief overview of what multifactor authentication is, focusing particularly on possession factors, including what common options are available. One-time-passwords, an important concept many possession factor types, will also be discussed.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Allison Kaptur

Suppose `import` didn't exist, and we had to invent it from scratch. We'll look at the problem - code sharing and reuse across modules - and different ways we could solve it. We'll come up with `import` from parallel universes and then reinvent python's actual implementation. Finally, we'll import - using python's design - without using the `import` keyword.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Andrew Godwin

Django finally has built-in migrations, and they're a long way from the designs of South or django-evolution. Learn the key design decisions we made, ideas we discarded, and the unique treatment we have to give each of our four official database backends.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Narahari Allamraju

The objective of this session is to give the audience an idea of how they should choose a messaging layer for their application - how to evaluate their requirements against the features of the tools and make a choice. I will use my experience with building messaging applications to present a methodology which they can use

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Tavish Armstrong

Software engineering researchers and hackers don't talk to each other as much as they ought to. This talk aims to bridge that gap, teach practitioners about what research is out there, and spark a "citizen science" movement in software engineering. I'll explain how to study your own projects and get academics to pay attention. Together, we can learn how to develop better software.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Benjamin Peterson

This talk will explore how garbage collection is implemented in CPython and PyPy. See how CPython deals reference counting's shortcomings with a special GC for cycle collection. Then dive into PyPy's sophisticated and high-performing GC implementations. The particularly thorny issue of finalizers in reference cycles will also be addressed.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Asheesh Laroia

This talk covers the practical use of Python packaging tools. You'll see how to keep your system clean as an end user excited about installing a Python module from the web, the purpose of setup.py, how virtualenv makes life easier (and sometimes harder), what Ubuntu/Debian tools can offer, and how to make a complex app easier for new contributors to run. It is heavy on stories and recommendations.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Allen Downey

An introduction to Bayesian statistics using Python. Bayesian statistics are usually presented mathematically, but many of the ideas are easier to understand computationally. People who know Python can get started quickly and use Bayesian analysis to solve real problems. This tutorial is based on material and case studies from Think Bayes (O'Reilly Media).

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Julie Pagano

It can be hard to focus on your love of coding when you are regularly battling invisible issues like insecurity, anxiety, and lack of confidence. This talk will identify invisible issues programmers struggle with, talk about their impact, discuss personal experiences dealing with them, and share some tools useful in fighting back.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Megan Speir

You might know what an API is. Maybe you've even implemented a handful of popular APIs out there, but you are thinking about building your own and don't know where to start. This talk will show you how easy it is to build an API into your project using Python and Flask. We'll also discuss best practices and design patterns for great APIs.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Kenneth Love

Getting Started With Django is a well-established series of videos teaching best practices and common approaches for building web apps to people new to Django. This tutorial combines the first few lessons into a single lesson. Attendees will follow along as I start and build an entire simple web app and, network permitting, deploy it to Heroku.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Selena Deckelmann

Working with developers on schema migrations is a perennial challenge for DBAs and developers. Devs tend to like a "set it and forget it" tool. This talk discusses the strategies used to move from a pure SQL and shell migration system to using SQLAlchemy and alembic for maximum DBA and developer happiness.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Paul Everitt

Python 3 is upon us! This lively, hands-on tutorial covers a little about a lot, showing Python 3 (and 2) web development using Pyramid, a fast, modern, lightweight web framework. Fun, fast-paced, and most certainly not aimed at experts.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Greg Ward

Unit testing is like public transit: everyone agrees it's a good thing for other people to do. It's easier to swallow when you see how unit testing improves not only the correctness of your code, but the design as well. I'll walk through a real-life case study where adding unit tests turned a pretty good module into an even better one: easier to understand, extend, and reuse.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: James Bennett

Lots of talks and tutorials try to cover Django exhaustively, going over every component and feature. But not so many take a look at the bits that let Django be Django. In this talk, we'll see exactly what those bits -- some old, some new -- are, in a way that shows why it's still a solid and popular choice for web developers nearly nine years after its initial public release.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: James King

Come and learn the techniques used for generating random dungeon-like levels for games. You don't have to know what Rogue is to enjoy this talk. Prepare yourself for a plethora of Monty Python references and we'll have some fun.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: Alex Gaynor

"The common wisdom is that Python is slow. And yet people run high performance software on it. It's hard to make Python fast, and yet there are incredibly high performance Python VMs. This talk breaks down the facts and the myths of Python performance."

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides

Speaker: David Beazley

Python generators have long been useful for solving all sorts of problems involving iteration and data flow. However, one of their more powerful uses is in customizing various aspects of program control flow. In this tutorial, we'll look at some more exotic uses of generators such as writing context managers, inlining callback functions, eliminating recursion, implementing actors, and more.

Slides can be found at: https://speakerdeck.com/pycon2014 and https://github.com/PyCon/2014-slides