List of videos

Daniel Pope - gevent: asynchronous I/O made easy [EuroPython 2014] [23 July 2014] gevent provides highly scalable asynchronous I/O without becoming a nest of callbacks, or even needing code changes. Daniel will explain how to get started with gevent, discuss patterns for its use and describe the differences with Twisted, Tornado and Tulip/asyncio. ----- It has been claimed "Callbacks are the new GOTO". Most asynchronous IO libraries use callbacks extensively. gevent (http://www.gevent.org) uses coroutines to provide highly scalable asynchronous I/O with a synchronous programming model that doesn't need code changes and callbacks. By elegantly monkey patching the Python standard library, both your code and all pure Python libraries become asynchronous too, making a separate collection of protocol implementations (in the style of Twisted) unnecessary. Code written like this is easier to understand, particularly for more junior developers. Crucially, IO errors can be raised at the right places. I will be introducing gevent's programming model, why it's easier, walk through simple code samples, and discuss experiences and metaphors for programming with it.

Ben Nuttall - Pioneering the Future of Computing Education [EuroPython 2014] [24 July 2014] How the Raspberry Pi Foundation are leading the way in the computing in schools revolution by providing affordable open and connectable hardware to people of all levels of experience. Now we have an education team, we're pushing forward with creating resources and training teachers to help deliver modern computing education around the world. All our learning resources are Creative Commons licensed and available on GitHub. We write materials that match the UK computing curriculum. ----- I'm Ben, from Raspberry Pi. I do development and outreach for the Foundation and I work with the rest of the education team to help make learning through computer science, coding and hardware hacking more accessible to all. In this talk I explain the Raspberry Pi story: its mission - the reason the Pi exists; what happened before release - getting the board in to production; what happened in the first two years - the community birth and growth; and what's coming next - education focus, new hardware and improved software. Python is the main language used (and advocated by us) in education with Raspberry Pi. We're creating learning resources to match up with the new UK computing curriculum, where we teach young people programming and computer science concepts with Python on Pi, and help teachers deliver quality material in the classroom to work towards the objectives the curriculum sets out to achieve. With Raspberry Pi we open up possibilities for connecting to the real world in an accessible way using the powerful, high level and human read/write -able language of Python. We work closely with the community: hobbyists organising Raspberry Jam events; educators teaching with Raspberry Pi; the software communities and their contributions - and we welcome any interested parties to get involved with helping us provide for the wider community.

Petr Viktorin - The Magic of Attribute Access [EuroPython 2014] [22 July 2014] Have you ever wondered how the "self" argument appears when you call a method? Did you know there is a general mechanism behind it? Come learn all about attributes and descriptors. ----- The first part of this talk will describe what exactly happens when you read or write an attribute in Python. While this behavior is, of course, explained in the Python docs, more precisely in the [Data model][1] section and [related][2] [writeups][3], the documentation gives one a "bag of tools" and leaves combining them to the reader. This talk, on the other hand, will present one chunk of functionality, the attribute lookup, and show how its mechanisms and customization options work together to provide the flexibility (and gotchas) Python provides. The topics covered will be: * method resolution order, with a nod to the C3 algorithm * instance-, class-, and metaclass-level variables * `__dict__` and `__slots__` * data/non-data descriptors * special methods (`__getattr__`, `__getattribute__`, `__setattr__`, `__dir__`) In the second part of the talk, I will show how to use the customization primitives explained before on several interesting and/or useful examples: * A proxy object using `__getattr__` * Generic desciptor - an ORM column sketch * the rudimentary `@property`, method, `staticmethod` reimplemented in pure Python (explained [here][2] and elsewhere), which lead to * SQLAlchemy's [`@hybrid_proprerty`][4] * Pyramid's deceptively simple memoizing decorator, [`@reify`][5] * An ["Unpacked" tuple properties][6] example to drive home the idea that descriptors can do more than provide attribute access (and mention weak dicts as a way to non-intrusively store data on an object) (These are subject to change as I compose the talk. Also some examples may end up interleaved with the theory.) Hopefully I'll have time to conclude with a remark about how Python manages to be a "simple language" despite having these relatively complex mechanisms. [1]: http://docs.python.org/3/reference/datamodel.html [2]: http://docs.python.org/3/howto/descriptor.html [3]: https://www.python.org/download/releases/2.3/mro/ [4]: http://docs.sqlalchemy.org/en/rel_0_9/orm/extensions/hybrid.html [5]: http://docs.pylonsproject.org/projects/pyramid/en/latest/api/decorator.html [6]: https://gist.github.com/encukou/9789993

Pieter Hintjens - Our decentralized future [EuroPython 2014 Keynote] [23 July 2014] Pieter will talk about the urgent push towards a decentralized future. As founder of the ZeroMQ community, he will explain the vision, design and reality of distributed software systems. He’ll explain his view on the community itself, also a highly decentralized “Living System”, as Hintjens calls it. Finally he’ll talk about edgenet, a model for a decentralized Internet.

Bob Ippolito - What can python learn from Haskell? [EuroPython 2014 Keynote] [21 July 2014] What can we learn from Erlang or Haskell for building reliable high concurrency services? Bob was involved in many Python projects but argues that for some domains there may be better methods found elsewhere. He started looking for alternatives back in 2006 when building high concurrency services at Mochi Media (originally with Twisted), which led him to the land of Erlang and later Haskell. Bob is going to talk about what he learned along the way. In particular, he’ll cover some techniques that are used in functional programming languages and how they can be used to solve problems in more performant, robust and/or concise ways than the standard practices in Python. He is also going to discuss some potential ways that the Python language and its library ecosystem could evolve accordingly. ----- What can we learn from Erlang or Haskell for building reliable high concurrency services? Bob was involved in many Python projects but argues that for some domains there may be better methods found elsewhere. He started looking for alternatives back in 2006 when building high concurrency services at Mochi Media (originally with Twisted), which led him to the land of Erlang and later Haskell. Bob is going to talk about what he learned along the way. In particular, he’ll cover some techniques that are used in functional programming languages and how they can be used to solve problems in more performant, robust and/or concise ways than the standard practices in Python. He is also going to discuss some potential ways that the Python language and its library ecosystem could evolve accordingly.

Emily Bache - Will I still be able to get a job in 2024 if I don't do TDD? [EuroPython 2014 Keynote] [22 July 2014] Geoffrey Moores's book "Crossing the chasm" outlines the difficulties faced by a new, disruptive technology, when adoption moves from innovators and visionaries into the mainstream. Test Driven Development is clearly a disruptive technology, that changes the way you approach software design and testing. It hasn't yet been embraced by everyone, but is it just a matter of time? Ten years from now, will a non-TDD practicing developer experience the horror of being labelled a technology adoption 'laggard', and be left working exclusively on dreadfully boring legacy systems? It could be a smart move to get down to your nearest Coding Dojo and practice TDD on some Code Katas. On the other hand, the thing with disruptive technologies is that even they can become disrupted when something better comes along. What about Property-Based Testing? Approval Testing? Outside-In Development? In this talk, I'd like to look at the chasm-crossing potential of TDD and some related technologies. My aim is that both you and I will still be able to get a good job in 2024. ----- TDD hasn't yet been embraced by everyone, but is it just a matter of time? Ten years from now, will a non-TDD practicing developer experience the horror of being labelled a technology adoption 'laggard', and be left working exclusively on dreadfully boring legacy systems? It could be a smart move to get down to your nearest Coding Dojo and practice TDD on some Code Katas. On the other hand, the thing with disruptive technologies is that even they can become disrupted when something better comes along. What about Property-Based Testing? Approval Testing? Outside-In Development? In this talk, I'd like to look at the chasm-crossing potential of TDD and some related technologies. My aim is that both you and I will still be able to get a good job in 2024.

Travis Oliphant - Python's Role in Big Data Analytics: Past, Present, and Future [EuroPython 2014 Keynote] [25 July 2014] Python has had a long history in Scientific Computing which means it has had the fundamental building blocks necessary for doing Data Analysis for many years. As a result, Python has long played a role in scientific problems with the largest data sets. Lately, it has also grown in traction as a tool for doing rapid Data Analysis. As a result, Python is the center of an emerging trend that is unifying traditional High Performance Computing with "Big Data" applications. In this talk I will discuss the features of Python and its popular libraries that have promoted its use in data analytics. I will also discuss the features that are still missing to enable Python to remain competitive and useful for data scientists and other domain experts. Finally, will describe open source projects that are currently occupying my attention which can assist in keeping Python relevant and even essential in Data Analytics for many years to come.

Constanze Kurz - One year of Snowden, what's next? [EuroPython 2014 Keynote] [21 July 2014] Since June 2013, disclosed by Edward Snowden, we learn more and more facts about American and British spies’ deep appetite for information, economic spying and the methods they use to collect data. They systematically tapped international communications on a scale that only few people could imagine. But what are the consequences for societies when they now know about the NSA metadata repository capable of taking in billions of "events" daily to collected and analyze? Is there a way to defend against an agency with a monstrous secret budget?

Christian Tismer/Anselm Kruis - Stackless: Recent advancements and future goals [EuroPython 2014] [23 July 2014] Stackless (formerly known as Stackless-Python) is an enhanced variant of the Python-language. Stackless is best known for its lightweight microthreads. But that's not all. In this talk Stackless core developers demonstrate recent advancements regarding multi-threading, custom-scheduling, debugging with Stackless and explain future plans for Stackless. ----- Stackless: Recent advancements and future goals ------------------------------------------------------- Since Python release 1.5 Stackless Python is an enhanced variant of C-Python. Stackless is best known for its addition of lightweight microthreads (tasklets) and channels. Less known are the recent enhancements that became available with Stackless 2.7.6. In this talk core Stackless developers demonstrate * The improved multi-threading support * How to build custom scheduling primitives based on atomic tasklet operations * The much improved debugger support * ... Stackless recently switched the new master repository from hg.python.org/stackless to bitbucket to allow for a more open development process. We'll summarise our experience and discuss our plans for the future development of Stackless. The talk will be help by Anselm Kruis and Christian Tismer. If we are lucky, we will also welcome Kristján Valur Jónsson from Iceland.