Eben Upton Eben Upton is a founder and trustee of the Raspberry Pi Foundation, and serves as its Executive Director. The Raspberry Pi is an ultra-low cost, credit card-sized computer designed to fill a much-needed technological gap in communities tha


Ned Batchelder Python provides powerful primitives for iterating over your data in ways that let you express yourself clearly and directly. But even programmers familiar with the tools don't use them as fully as they could. This talk will cover Pyt


Raymond Hettinger Learn to take better advantage of Python's best features and improve existing code through a series of code transformations, When you see this, do that instead.


Ned Batchelder Python has great Unicode support, but it's still your responsibility to handle it properly. I'll do a quick overview of what Unicode is, but only enough to get your program working properly. I'll describe strategies to make your code


Raymond Hettinger This is a short, but thorough tutorial on the Python's built-in toolset for creating classes. We look at commonly encountered challenges and how to solve them using Python.


Laurens Van Houtven An introduction to applied cryptography and information security suitable for programmers of all ages and skill levels.


Dave Forgac Python packaging really isn't that bad (anymore.) In this talk you'll learn how you can take your beautiful new Python code and share it with the world in a way that everyone benefits. I will cover tools and techniques you can use to get the boring stuff out of the way so you can focus on your code and deploy quickly, frequently, and consistently.


Raymond Hettinger Raymond Hettinger is a freelance programmer with experience in cloud computing, high frequency trading, genomics, and optimization.


Rick Branson As activity accelerated from just a few thousand activities per day to hundreds of millions, Instagram needed a reliable, scalable messaging infrastructure to distribute work and messages. In this talk, I'll jump from a crash course in t


Kurt Grandis Has your garden been ravaged by the marauding squirrel hordes? Has your bird feeder been pillaged? Tired of shaking your fist at the neighbor children? Learn how to use Python to tap into computer vision libraries and build an automated


Sandy Walsh OpenStack is a large python application being developed collaboratively with Rackspace, Red Hat, Canonical, Dell, HP, Intel, IBM, Citrix and a host of other companies. This application is the software that Cloud Computing is built on. It


Tavis RuddTwo years ago I developed a case of Emacs Pinkie (RSI) so severe my hands went numb and I could no longer type or work. Desperate, I tried voice recognition. At first programming with it was painfully slow but, as I couldn't type, I persevered. After several months of vocab tweaking and duct-tape coding in Python and Emacs Lisp, I had a system that enabled me to code faster and more efficiently by voice than I ever had by hand. In a fast-paced live demo, I will create a small system using Python, plus a few other languages for good measure, and deploy it without touching the keyboard. The demo gods will make a scheduled appearance. I hope to convince you that voice recognition is no longer a crutch for the disabled or limited to plain prose. It's now a highly effective tool that could benefit all programmers.


Ashwin Panchapakesan Genetic algorithms are a class of evolutionary algorithms, which have been around since the mid 1950s. Since then, a lot of study has been done on these algorithms, using them to solve various different types of problems. While m


Raymond Hettinger All problems have simple, easy-to-understand, logical wrong answers. Subclassing in Python is no exception. Avoid the common pitfalls and learn everything you need to know about making effective use of inheritance in Python.


Mirabai Knight Stenographic technology has been locked down to expensive, proprietary hardware and software for decades, depriving the world of the most efficient text entry system devised to date. Plover, a free, cross-platform steno engine that wor


Brandon Rhodes Even design-conscious programmers find large applications difficult to maintain. Come learn about how the recently propounded “Clean Architecture” applies in Python, and how this high-level design pattern fits particularly well with the features of the Python language and answers questions that experienced programmers have been asking. (An update of my un-recorded talk from PyCon Ireland 2013!)


Gary Bernhardt Most unit tests aren't and their authors suffer for it. What is a unit test, really? How can writing them prevent classic testing problems? If you do write them, what trade-offs are you implicitly making?


Matthew Butterick Should writers of documentation care about typography? As someone who reads a lot of documentation, I can see that many don't. But good typography can reinforce your meaning, conserve reader attention, and make your docs more inviti


Timothy Daly Axiom is an open source computer algebra system written mostly in Common Lisp. As one of the original authors at IBM Research I wrote a fair amount of code. Later Axiom was sold commercially as a competitor to Mathematica and Maple. When


Sean Zicari I find it very handy to be able to fire up the command line and make changes through a well-designed CLI tool. I'd like to show how the 3rd party urwid library or the built-in curses library can be used to build such tools easily.


Larry Hastings Ever wondered how CPython actually works internally? This talk will show you. We start with a simple Python program, then slowly step through CPython, showing in exhaustive detail what happens when it runs that program. Along the wa


Brandon Rhodes Why did I start using Python in the late 1990s? Was it for any of the reasons that I remain a fan today? In this talk we will explore how Python, even while training us to avoid and become blind to its rough edges, works to teach us ne


Andy Parsons Between choosing technologies, bootstrapping your company and product and hiring the critical early team, startup CTO's have their hands full. I've done it many times, and over the years I have honed my view of how to build something new


Machine learning the hard way -- a story about ponies Фрагмент с начала видео Machine learning the hard way -- a story about ponies Фрагмент с середины видео Machine learning the hard way -- a story about ponies Фрагмент с конца видео Machine learning the hard way -- a story about ponies
Machine learning the hard way -- a story about ponies

Nathan Taggart Before you dive into a machine learning project, learn from the mistakes that I made while building a prediction engine for betting on horse races. In this introductory talk, learn about common data science tasks like data munging, pre-processing, classification, regression, and interpreting results.


Brandon Rhodes While Java and C use static type declarations to eliminate ambiguity, the Python programmer must survive through sheer clarity and consistency in naming variables. We will explore the deep unspoken conventions that the Python comm


Alex Martelli Our culture's default assumption is that everybody should always be striving for perfection -- settling for anything less is seen as a regrettable compromise. This is wrong in most software development situations: focus instead on keep


Brett Cannon In this talk I will try to convince you that Python 3.3 is superior to Python 2.7 by going over the differences between Python 2.7 and Python 3.3 along with benchmark information to show where Python 3.3 shines in comparison to Python 2.


Ryan Freckleton Biomedical ontologies are large, graphical data structures that describe concepts in biology and medicine. An ongoing area of research is determining how to integrate these from different sub-domains, since they are too large to integ


Brandon Rhodes How do you take the big step from casual SQLAlchemy user, who treats your database as a mysterious object store, to advanced power user, who optimizes critical queries, plans indexing and migrations, and generates efficient reports? Th


Jessica McKellar Beginning programmers: welcome to PyCon! Jumpstart your Python and programming careers with this 3-hour interactive tutorial. By the end, you'll have hands-on exposure to many core programming concepts, be able to write useful Python programs, and have a roadmap for continuing to learn and practice programming in Python. This class assumes no prior programming experience.


Jack Diederich Classes are great but they are also overused. This talk will describe examples of class overuse taken from real world code and refactor the unnecessary classes, exceptions, and modules out of them.


Katherine Scott This talk is a brief summary of Computer Vision tutorial we proposed for PyCon. In this talk we will discuss what computer vision is, why it's useful, what tools exist in the Python ecosystem, and how to apply it to your project. T


An open platform for recording, routing, and manipulating HDMI and DisplayPort video signals. Help fund the project and get your own board!


John Berryman The use of search is ubiquitous. As a developer you need search in your technology tool belt. This talk introduces Elasticsearch, a front-running, open source search technology. We'll create an application, execute a search, and dive into internals so that you'll know where search is most useful. PyOhio is a free (thanks sponsors!) annual conference for Python programmers in and around Ohio and the entire Midwest.


Gary Bernhardt An exploration of the boundaries between pieces of code, including: isolated testing, behavior vs. data, mutation vs. immutability, how data shape affords parallelism, transforming interface dependencies into data dependencies, and wha


Allen Short Writing parsers has often been a task difficult for programmers to take on. Many of the tools available for parsing require writing grammar rules and code that work very different from everything else in Python. Parsley is a library that


Jessica McKellar This talk is an introduction to the Internet's structure and protocols through fun experiments from the Python perspective. We'll use Python libraries like Scapy and Twisted to explore what happens at a networking level as you surf t


Matt Chaput From humble beginnings when I first learned Python just to write a search engine to make online help searchable, Whoosh has grown and matured to match the capabilities of much larger projects such as Lucene. This talk will explain simple


Gavin M. Roy The logging module is one of the more complex areas of the Python standard library. In this talk you will learn how to leverage loggers, formatters, handlers and filters. In addition you will learn how to use dictConfig and other formats


Simeon Franklin Python is increasingly used as a teaching language for new programmers and touted as an easy language to learn for experienced developers. Its self proclaimed virtues of beauty, explicitness, simplicity and readability certainly shoul


Jason Huggins Can your robot play Angry Birds? On an iPhone? Mine can. I call it BitbeamBot. It started as an art project, but it has a much more serious practical application: mobile web testing. To trust that your mobile app truly works, you need


David Beazley What's more fun than learning Python? Learning Python by hacking on public data! In this tutorial, you'll learn Python basics by reading files, scraping the web, building data structures, and analyzing real world data. By the end, you w


A. Jesse Jiryu Davis Python 3's new “asyncio” module is an efficient async framework similar to Node. But unlike Node, it emphasizes a modern idiom called coroutines instead of callbacks. Coroutines promise the best of two worlds: the efficiency of callbacks, with a natural and robust coding style similar to synchronous programming. I’ll explain how asyncio’s coroutines work, and show how they are built using Python generators, the “yield from” statement, and the Future and Task classes. You will gain a deep understanding of this miraculous new programming idiom in the Python standard library.


Riona MacNamara Last year, we were inspired to action by a presentation at Write the Docs. This talk will tell the story of what happened next: how, in two quarters, we worked with a small self-forming team of amazing writers and engineers to build a platform in six months is well on the way to becoming a part of the standard Google engineering workflow. We’ll share how that platform transformed our role as technical writers and our relationship with engineering. We’ll cover design and implementation details, but we’ll also talk about our experience - how we learned that being audacious (but not reckless), focused (but open and generous), and unafraid could revitalize our whole approach to work and save us from burnout. We& 39;ll talk about our ever-growing appetite for disruption: How it changed beyond recognition our relationships with engineers, fellow writers, and senior leadership, making us fall in love again with our roles as documentarians.


Sean Cribbs Sean Cribbs teaches us how to read and implement research papers - and translate what they describe into code. He covers examples of research implementations he's been involved in and the relationships he's built with researchers in the process.


Erik Rose Elasticsearch provides an easy path to clusterable full-text search, with synonyms, faceting, and geographic math, but there's a paucity of written wisdom beyond its API docs. This talk, part 1 of a 2-part series, surveys its capabilities a


Augie Fackler, Nathaniel Manista After 15 years' combined experience developing software of all types we are done with object inheritance. Come learn about elegant, superior solutions to the problems inheritance claims to adequately solve.


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