List of videos

"GraphQL in Python 🍓 [EuroPython 2019 - Talk - 2019-07-11 - MongoDB] [Basel, CH] By Patrick Arminio Over the past few years GraphQL has gained much traction, but what’s the state of GraphQL in Python. This talk describes what GraphQL is, why it has been created and the current state of GraphQL libraries in Python. There will be a short history of GraphQL, some examples of what makes it shine and why it can be preferred to REST. We will also analyse the current state of GraphQL in Python, having a brief overview of the current libraries and then having an in-depth look at Strawberry a new library based on dataclasses that makes it easy to create GraphQl APIs in Python. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Building Data Workflows with Luigi and Kubernetes [EuroPython 2019 - Talk - 2019-07-11 - PyCharm] [Basel, CH] By Nar Kumar Chhantyal This talk will focus on how one can build complex data pipelines in Python. I will introduce Luigi and show how it solves problems while running multiple chain of batch jobs like dependency resolution, workflow management, visualisation, failure handling etc. After that, I will present how to package Luigi pipelines as Docker image for easier testing and deployment. Finally, I will go through way to deploy them on Kubernetes cluster, thus making it possible to scale Big Data pipelines on-demand and reduce infrastructure costs. I will also give tips and tricks to make Luigi Scheduler play well with Kubernetes batch execution feature. This talk will be accompanied by demo project. It will be very beneficial for audience who have some experience in running batch jobs (not necessarily in Python), typically people who work in Big Data sphere like data scientists, data engineers, BI devs and software developers. Familiarity with Python is helpful but not needed. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Gamifying the study of algorithms [EuroPython 2019 - Talk - 2019-07-11 - Osaka / Samarkand [PyData track] [Basel, CH] By Iulia Avram Do you remember when you used to learn algorithms? It was probably either back when you were studying for your degree, or when you were brushing up for a technical interview. If you're like most of the developers I know, solving algorithms probably went from being a fun past-time, to a bothersome necessity, to a thing of the past. Our life has been greatly improved by our tools and there's little need to know all sorting methods out there, or how to search through a tree. Or maybe we're wrong, maybe knowing these things could make a difference in how we write code. I am going to try to dispel some of the myths surrounding the study of algorithms and competitive programming, and argue that sharpening this skill is something that benefits us, as software developers, outside of passing technical tests; that knowing many algorithms makes us better and faster problem solvers. Lastly, this talk is about resources and ways in which to gamify the study of algorithms. Going at it the same way as for exams or interviews makes it very bothersome very quickly. It gets easy to lose sight of the biggest picture and to start thinking of algorithms in abstract terms, outside their applications. All these are factors that prompt the question: why should I carry on with it? Therefore, something needs to be changed in the way we do this. Algorithms are fun and they don't deserve the disdain we give them. Knowing algorithms is not only for the geniuses and innovators. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Opening PyPy's magic black box [EuroPython 2019 - Talk - 2019-07-11 - MongoDB] [Basel, CH] By Ronan Lamy PyPy is a fast and compliant implementation of Python. In other words, it's an interpreter for the Python language that can act as a full replacement for the reference interpreter, CPython. It's optimised to enable efficient just-in-time (JIT) compilation of Python code to machine code, and has releases matching versions 2.7, and 3.6. It now also supports the main pillars of the scientific ecosystem (numpy, Cython, scipy, pandas, ...) thanks to its emulation layer for the C API of CPython. The PyPy JIT is often just described as ""magically running your code faster"", but is actually what is known as a ""meta-tracing JIT"". A tracing JIT optimises loops by recording and optimising a single, hopefully representative, execution of the loop. While crude, that approach is known to be effective for just-in-time compiler. Additionally, PyPy's JIT is ""meta"" in the sense that it traces the execution of the interpreter while it runs some user-code instead of tracing the user-code directly. This again simplifies the compiler. We will explore how all this works together and is implemented (spoiler: it's Python all the way down!). This talk assumes no prior knowledge of compiler theory nor of PyPy internals, and should be of interest to anybody who wishes that their pure-Python code would run faster. The audience will gain a firmer understanding of how PyPy operates and optimises code, and how to how to get the most out of the PyPy JIT. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"PlotVR - walk through your data [EuroPython 2019 - Talk - 2019-07-11 - Osaka / Samarkand [PyData track] [Basel, CH] By Philipp Thomann Are you bored by 3D-plots that only give you a simple rotatable 2d-projection? plotVR is an open source package that provides a simple way for data scientists to plot data, pick up a phone, get a real 3d impression - either by VR or by AR - and use the computer's keyboard to walk through the scatter plot: precodehttps://www.github.com/thomann/plotVR /code/pre After installing and plotting your dataframe open your phone's browser and use your GoogleVR Cardboard. Furthermore performant Android- and iOS-apps are available - both support VR-Cardboard and the iOS-Version also AR. Once you are immersed in your Cardboard how do you navigate through the scatter? plotVR lets you use the computer's keyboard to walk as you would in any first person game. You want to share your impression? Just save the HTML and publish it. The technologies beneath this project are: a web server that handles the communication between the DataScience-session and the phone, WebSockets to quickly proxy the keyboard events, QR-codes facilitate the simple pairing of both, and an HTML-Page on the computer to grab the keyboard events. And the translation of these keyboard events into 3D terms is a nice exercise in three.js, OpenGL, and SceneKit for HTML, Android, and iOS resp. Ready to see your data as you have never seen before? Join the talk! License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Exceptional Exceptions [EuroPython 2019 - Talk - 2019-07-11 - PyCharm] [Basel, CH] By Mario Corchero Did you know there are multiple ways to raise and capture exceptions? Have you ever wondered if you should raise a built-in exception or create your own hierarchy? Did you ever find it hard to understand what an exception meant? This talk will go through the decisions needed to raise and capture exceptions when creating a library. We will look at how to translate and handle errors, create your own exceptions, and make exceptions clear and easy to troubleshoot, while also understanding how they actually work, common pitfalls. This talk will enable intermediate developers to leave the room with a solid understanding of how to work effectively with exceptions. As the exception flow usually goes untested, this will help prevent frustrating situations when errors occur that are not easy to understand or when an unexpected result is produced. The talk will delve into the different ways of working with exceptions. We will illustrate this with a real-world example to which many developers will be able to relate. Following the talk, intermediate developers will leave the room more informed and better prepared to create and handle exceptions, having learned about many utilities that were already available to them, but were never used or were used improperly. The not-so-advanced Pythonistas will get an in-depth dive into exceptions. Even if they might not be able to grasp all of the content, they will get a sense of the features that most programmers are unaware of and learn to use them when the proper situation arrives. Advanced programmers will find this to be a humorous talk that will certainly teach them at least one new thing, as I will dive into parts of the grammar of Python that even many advanced programmers are not used to. The talk is also full of niche information like why the variable that catches exceptions doesn’t like outside of the codeexcept/code scope. The talk is comprised of four main sections preceded by an introduction to the problem and a conclusion with time for questions at the end. We will look at how to raise, capture, create and design exceptions, offering tips and pitfalls in each section. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"How to write a JIT compiler in 30 minutes [EuroPython 2019 - Talk - 2019-07-11 - MongoDB] [Basel, CH] By Antonio Cuni Real-world JIT compilers like PyPy and Numba are complex and advanced. However, the basic ideas behind JIT compilers are easy to understand, as this talk aim to show. This is a live-coding exercise: we will start from a blank page and write a working (albeit simple and limited) JIT compiler from scratch. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Advanced pytest [EuroPython 2019 - Talk - 2019-07-11 - PyCharm] [Basel, CH] By Raphael Pierzina There are many reasons why I think pytest is a fantastic test framework: assertion introspection, setup and teardown with fixtures, parametrized tests. But plugins are the real game changer! We'll dive right into customizing a test suite by developing a series of pytest plugins based on a few neat hacks. We'll learn how to automatically add markers to slow running tests, run only tests that use a fixture which can be specified on the CLI, generate test reports in a custom format, and automatically create GitHub issues for test regressions. We'll wrap up this talk by using Cookiecutter to create Python packages from our plugins that are ready to be published on PyPI. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Explaining AI to Managers 👨‍💼🤖👩‍💼 [EuroPython 2019 - Talk - 2019-07-11 - Osaka / Samarkand [PyData track] [Basel, CH] By Alexander CS Hendorf Artificial intelligence promises great value. The technology is mostly understood only by few, yet still unexplainable even for experts. In this talk I'll present how to narrow the hype down to real value explainable to everyone in your organisation - without the math. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/