List of videos

Olga Lyashevska - How can machine learning help to predict changes in size of Atlantic herring ? [EuroPython 2016] [22 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/how-can-machine-learning-help-to-predict-changes-in-size-of-atlantic-herring) This talk is a case-study of how Python (Pandas, NumPy, SciKit-learn) can be implemented to identify the influence of the potential drivers of a decline in size of Atlantic herring populations using Gradient Boosting Regression Trees. ----- A decline in size and weight of Atlantic herring in the Celtic Sea has been observed since the mid-1980’s. The cause of the decline remains largely unexplained but is likely to be driven by the interactive effect of various endogenous and exogenous factors. The goal of this study is to interrogate a long time-series of biological data obtained from commercial fisheries from 1959 to 2012. We use gradient boosting regression trees to identify important variables underlying changes in growth from various potential drivers, such as: - Atlantic multidecadal oscillation; - sea surface temperature; - salinity; - wind; - zooplankton abundance; - fishing pressure. This learning algorithm allows to quantify the influence of the potential drivers of change with the test error lower when compared to other supervised learning techniques. The predictor variables importance spectrum (feature importance) helps to identify the underlying patterns and potential tipping points while resolving the external mechanisms underlying observed changes in size and weight of herring. This analysis is a useful case-study of how Python can be implemented in academia. The outputs of the analysis are of relevance to conservation efforts and sustainable fisheries management which promotes species resistance and resilience.

Ralph Heinkel - The value of mindfulness and how it has arrived at Google [EuroPython 2016] [22 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/the-value-of-mindfulness-and-how-it-has-arrived-at-google) Mindfulness has proven to be a foundational skill that started as a pure buddhist practice. Nowadays mindfulness serves as the core technique of several western programs ranging from curing stress- induced medical problems to curricula for teaching successful business leadership, such as the Search Inside Yourself program developed at Google. The aim of this seminar is to provide a practical experience of mindfulness with a short introduction to how it can be applied by digital workers. ----- Mindfulness has proven to be a foundational skill that started as a pure buddhist practice. Nowadays mindfulness serves as the core technique of several western programs ranging from curing stress- induced medical problems to curricula for teaching successful business leadership, such as the Search Inside Yourself (SIY) program developed at Google in 2002. Mind is the root of all things. Neuroscience shows that attention is a fundamental function of the mind. Being able to direct attention to the present moment - and keep it there while performing daily tasks - is a great tool to navigate through life and its challenges with more engagement, more happiness, and more resilience. Focusing attention in a relaxed way enables us to disconnect from the overall noise found in a high-speed environment and get things done without feeling too overwhelmed by them. But being effective is not only about checking off more tasks - it is about how we are in resonance with our environment, how we interact with others, and how we face the increasing complexity in our professional life. The aim of this seminar is to provide a practical experience of mindfulness with a short introduction to how it can be applied in a technology driven world as experience by digital workers.

Honza Král - Log all the things! [EuroPython 2016] [22 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/log-all-the-things) Many times these logs are thrown away or just sit uselessly somewhere on disk. I would like to show you how you can make sense of all that data, how to collect and clean them, store them in a scalable fashion and, finally, explore and search across various systems. ----- Centralized logging (and the ELK stack) is proving itself to be a very useful tool in managing a production infrastructure. When combined with other data sources (application logging, business data, ...) it can provide even more insight. This talk is an introduction into the area with some overview of the motivation, tools and techniques that can prove useful. We will show how the open source ELK (Elasticsearch Logstash and Kibana) stack can be used to implement this. It is geared towards people familiar with the DevOps concept that are looking to improve their lives by introducing smarter tools.

Marko Samastur - Publish your code so others can use it in 5 easy steps [EuroPython 2016] [20 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/publish-your-code-so-others-can-use-it-in-5-easy-steps) As developers we all love well-documented, well-tested packages. If we do the same for our code it is easier for others to re-use our hard work, and maybe even contribute. We will take a quick look on how to do this using popular tools and only a small investment of time. With Github and some simple tools, setting up a well-groomed package doesn't have to be difficult. ----- Every Python open-source developer wants their software to be used. As developers, we trust software that is tested and well-documented. In this talk we'll go through 5 steps for how to do this for your own packages. We will take a quick look on how to do this using popular tools and small investment of time: - Write a setup.py script for a pure Python package - Set up py.test, tox and coverage to test our package with multiple versions of Python - Configure Github to use Travis CI & coveralls.io to automatically test our package every time we commit - Register and publish our package to PyPI - Setup our documentation on ReadTheDocs

Alexander Hendorf - Game Theory to the Rescue When Hard Decisions Are to Be Made [EuroPython 2016] [20 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/game-theory-to-the-rescue-when-hard-decisions-are-to-be-made) Sometimes it's hard to decide when a something is really done or cannot be improved further. **Game theory** can help you to make complicated decisions whenever you encounter flow problems. ----- Game theory is "the study of mathematical models of conflict and cooperation between intelligent rational decision-makers." In our use case we had to match data for accounting: - the data was not always clean but we had some extra tools at hand and a complex system to make good guesses. Nevertheless it was hard to decide when to give up, some records were just not processable. Finally we used Game theory to make the decision. https://en.wikipedia.org/wiki/Game_theory

Juan Luis Cano - Per Python ad Astra [EuroPython 2016] [20 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/per-python-ad-astra) In the intersection of mechanics, mathematics and "cool stuff that travels through space" lies Astrodynamics, a beautiful branch of physics that studies the motion of spacecraft. In this talk we will describe poliastro, a pure Python library we can use to compute orbital maneuvers, plot trajectories and much more. The role of JIT compiling (using numba) to drop the previously used FORTRAN algorithms will also be discussed, as well as the importance of open source in scientific discoveries. ----- In the intersection of mechanics, mathematics and "cool stuff that travels through space" lies Astrodynamics, a beautiful branch of physics that studies the motion of spacecraft. Rocket launches have never been so popular thanks to companies like Space X, more and more investors pay attention to aerospace startups and amazing missions explore our planet and our Solar System every day. In this talk we will describe poliastro, a pure Python library we can use to compute orbital maneuvers, plot trajectories and much more. The role of JIT compiling (using numba) to drop the previously used FORTRAN algorithms will also be discussed, as well as the importance of open source in scientific discoveries.

Christian Trebing - Get in control of your workflows with Airflow [EuroPython 2016] [20 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/get-in-control-of-your-workflows-with-airflow) Airflow (https://github.com/airbnb/airflow) is an open source Python package from Airbnb to control your workflows. This talk will explain the concepts behind Airflow, demonstrating how to define your own workflows in Python code and how to extend the functionality with new task operators and UI blueprints by developing your own plugins. You'll also get to hear about our experiences at Blue Yonder, using this tool in real-world scenarios. ----- Whenever you work with data, sooner or later you stumble across the definition of your workflows. At what point should you process your customer's data? What subsequent steps are necessary? And what went wrong with your data processing last Saturday night? At Blue Yonder we use Airflow (https://github.com/airbnb/airflow), an open source Python package from Airbnb to solve these problems. It can be extended with new functionality by developing plugins in Python, without the need to fork the repo. With Airflow, we define workflows as directed acyclic graphs and get a shiny UI for free. Airflow comes with some task operators which can be used out of the box to complete certain tasks. For more specific cases, tasks can be developed by the end user. Best of all: even the configuration is done completely in Python! This talk will explain the concepts behind Airflow, demonstrating how to define your own workflows in Python code and how to extend the functionality with new task operators and UI blueprints. You'll also get to hear about our experiences using this tool in real-world scenarios.

Ricardo Bánffy - Lessons Learned after 190 Million Lessons Served [EuroPython 2016] [20 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/lessons-learned-after-190-million-lessons-served) What we learned along the way - processes, organization, technology and people - from 0 to 11 million students, 40 thousand courses and 20 thousand teachers.

Roberto De Ioris - Modern OpenGL with Python [EuroPython 2016] [20 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/modern-opengl-with-python) The OpenGL api is one of the oldest (and most used) graphics library in both the gaming and simulations world. In latest years the api has been extremely re-designed to support modern hardware features available in GPUs. Can we build realtime graphics application with Python using OpenGL ? Well, obviously Yes ! ----- The talk will introduce how 2D and 3D graphics works, which math is required for mastering them and why strong hardware cooperation and heavy optimizations have been required since the very beginning of gaming development history. Once the theory is "almost" clear, we can start talking about OpenGL, which problems tries to solve and how it evolved in more than 20 years. The last (and the biggest) part of the talk will show how to interface Python with OpenGL, how to draw simple 2D sprites and how to load and show 3D models using simple lighting models. Warning: OpenGL shaders (the custom code you upload in the GPU) are written in GLSL, a pseudo-c dialect, so expect a bit of lower-level programming