Python Miro Community All Python Video, All the Time

Machine Learning for Web Developers

Presented by Al Barrentine

Machine learning deals with a class of algorithms which improve and evolve as they process more data. It has wide-ranging applications in recommendations, search, spam/fraud detection, facial recognition and other areas. The algorithms themselves will be covered but the real focus of this class is on how to use said algorithms in the web applications we work on every day. I&aposll try to keep the math and notation relatively light. Most of the algorithms you&aposll need to get started with machine learning are implemented for you in the various libraries. They comprise the "science" of machine learning and I hope you will decide to learn it, but mastering that material is a significant commitment of your time and mental energy (and has some additional prerequisites including a strong understanding of linear algebra). This class will focus on the "art" of machine learning, how to think about machine learning algorithms and integrate them into your web application.

Tmux + IPython = Awesome

Presented by Alexander Gaudio

This is a two part class aimed at expanding a developer's toolset with both tmux and IPython. In the first half, we will learn about tmux. I will first explain its client-server model and general architecture, compare it to GNU screen, and show some use cases. Then, we will start using it, create a customized profile, and solve a simple distributed computing problem with tmux. In the second half of this class, we will start using IPython. I will first explain what it is and review different use cases. Then, we will start using some basic commands, customize our profile and aliases, integrate python and shell scripting into the same code, and, time permitting, see some of the interactive scientific computing and interactive distributed computing possibilities. If you have one, bring a laptop with tmux and IPython already installed.

Building scalable websites and APIs with Brubeck

Presented by James Dennis

In this talk I intend to teach people who know nothing about Brubeck how to build and deploy an entire site, providing all the commonly needed functionality we expect from other Python web frameworks.

Powerful Pythonic data analysis

Presented by Wes McKinney

Go Go Gadget Python

Presented by Nicholas Waite

So you know that embedded devices are everywhere. Perhaps you've thought how nice it would be to make a Linux USB driver for some Windows-only device, or you've got something proprietary you would like to reverse-engineer and repurpose for your next big scheme. We know Python can do pretty much anything inside the computer--but how does a software person enter the world of circuits? And once you have some circuits, how can you bring the data back into your box? Bridging the worlds of hardware and software, I will show the power of PyUSB and Pyserial to pwn some sweet hardware and charm it over the USB port. From my own trials and tribulations building and hacking real devices, from a simple HID-class USB missile launcher to the custom protocol used in a complex biomedical data acquisition system, you will learn about USB packet sniffing, rapid-prototyping device drivers in python, and deciphering circuit boards and data sheets for fun & profit. I aim to leave you armed and ready to take on hardware of your own.