List of videos

Rafał Nowicki - BDD: You’re doing it wrong! [EuroPython 2015] [23 July 2015] [Bilbao, Euskadi, Spain] Talk about mistakes we made and best practises we have elaborated while implementation Behave Driven Development into one of the projects. Great idea to coverage whole application with functional tests fall down in development chaos and reborn on new better foundations. Project referred is web-based big data management which main features are transcoding and file sharing. Thanks to Django and many Python frameworks we have web interface for it and we are able to run automation tests with Selenium.

Roy Simkes - Preparing Apps for Dynamic Scaling [EuroPython 2015] [24 July 2015] [Bilbao, Euskadi, Spain] Scalability is a big problem for everyone who wants to grow. In order to handle the demand, appropriate infrastructure both in terms of software and hardware should be met. What if hardware was as dynamic as a service where CPU and RAM could have been acquired when only it's needed. Is there such an environment? How can you work with it? What you should be careful of? How your applications should evolve?

Radosław Jan Ganczarek - Code Quality in Python - tools and reasons [EuroPython 2015] [21 July 2015] [Bilbao, Euskadi, Spain] Beginner's guide to Python code quality. I'll talk about the tools for code analysis, differences between them, extending them with new features and ways to running them automatically. In the end, I'll talk about reasons behind all of these tools and try to convince you to using them in your projects (but if you are against it - I'll gladly listen to your arguments).

Fernando Masanori Ashikaga - Data Structures with Python [EuroPython 2015] [23 July 2015] [Bilbao, Euskadi, Spain] [Education Summit] Data Structures is traditionally a “bogeyman” discipline in Computer Science courses and has a high degree of failure. In FATEC São José dos Campos we are adopting a hybrid approach, with C and Python languages. The failure rate decreased from 85% (2008) to 12% (2014). The talk will be extensively illustrated with code in C and Python, addressing the various concepts taught in this course: recursion, linked lists, queues, stacks, sorting algorithms.

Maciej Kula - Speeding up search with locality sensitive hashing [EuroPython 2015] [24 July 2015] [Bilbao, Euskadi, Spain] Locality sensitive hashing (LSH) is a technique for reducing complex data down to a simple hash code. If two hash codes are similar than the original data is similar. Typically, they are used for speeding up search and other similarity comparisons. In this presentation I will discuss two ways of implementing LSH in python; the first method is completely stateless but only works on certain forms of data; the second is stateful but does not make any assumptions about the distribution of the underlying data. I will conclude the presentation by describing how we apply LSH to search at Lyst.

Josef Heinen - Getting more out of Matplotlib with GR [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] Python is well established in software development departments of research and industry, not least because of the proliferation of libraries such as _SciPy_ and _Matplotlib_. However, when processing large amounts of data, in particular in combination with GUI toolkits (_Qt_) or three-dimensional visualizations (_OpenGL_), Python as an interpretative programming language seems to be reaching its limits. In particular, large amounts of data or the visualization of three- dimensional scenes may overwhelm the system. This presentation shows how visualization applications with special performance requirements can be designed on the basis of _Matplotlib_ and _GR_, a high-performance visualization library for Linux, OS X and Windows. The lecture focuses on the development of a new graphics backend for _Matplotlib_ based on the _GR_ framework. By combining the power of those libraries the responsiveness of animated visualization applications and their resulting frame rates can be improved significantly. This in turn allows the use of _Matplotlib_ in real- time environments, for example in the area of signal processing. Using concrete examples, the presentation will demonstrate the benefits of the [GR framework][1] as a companion module for _Matplotlib_, both in _Python_ and _Julia_. Based on selected applications, the suitability of the _GR framework_ will be highlighted especially in environments where time is critical. The system’s performance capabilities will be illustrated using demanding live applications. In addition, the special abilities of the _GR framework_ are emphasized in terms of interoperability with graphical user interfaces (_Qt/PySide_) and _OpenGL_, which opens up new possibilities for existing _Matplotlib_ applications. [1]: http://gr-framework.org

Florian Wilhelm - "It's about time to take your medication!" or how to write a friendly reminder bot ;-) [EuroPython 2015] [24 July 2015] [Bilbao, Euskadi, Spain] The author shows how to use the [SleekXMPP][1] library in order to write a small chatbot that connects to Google Hangouts and reminds you or someone else to take medication for instance. The secure and recommended OAuth2 protocol is used to authorize the bot application in the [Google Developers Console][2] in order to access the Google+ Hangouts API. The author will elaborate then on how to use an event- driven library to write a bot that sends scheduled messages, waits for a proper reply and repeats the question if need be. Thereby, a primer on event-driven architectures will be given. [1]: http://sleekxmpp.readthedocs.org/ [2]: https://console.developers.google.com/

Antoine Pitrou - Numba, a JIT compiler for fast numerical code [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] This talk will be a general introduction to Numba. Numba is an open source just­-in-­time Python compiler that allows you to speed up numerical algorithms for which fast linear algebra (i.e. Numpy array operations) is not enough. It has backends for the CPU and for NVidia GPUs. After the talk, the audience should be able to understand for which use cases Numba is adequate, what level of performance to expect, and have a general notion of its inner working. A bit of familiarity with scientific computing and/or Numpy is recommended for optimal understanding, but the talk should otherwise be accessible to the average Python programmer. It should also be of interest to people who are curious about attempts at high-­performance Python. [View slides online][1] [1]: http://pitrou.net/ep2015/_build/slides/#1

Radosław Jankiewicz - Writing quality code [EuroPython 2015] [20 July 2015] [Bilbao, Euskadi, Spain] The quality of written code is an important factor in a final success of a software project. Perhaps there is no universal definition of high quality code, however usually it's characterized as clear and readable, well-designed, well tested and documented, easier to debug, maintain and extend, etc. Python was designed to be a highly readable language that would make it easier to develop high quality code. Nevertheless, programming language is only a tool in a software development process and in the end the quality of code depends mostly on its author's concept and decisions he make. In this talk I would like to present some of ideas, techniques and tools for improving the quality of written code, tried out with a good result in everyday work on developing software in Python.