List of videos

Create beautiful and localized documentations and websites using MkDocs + Github [EuroPython 2021 - Talk - 2021-07-28 - Optiver] [Online] By Alexys Jacob In this talk I will walk you through all the steps needed to create and host feature rich and localized documentations (and even websites) using MkDocs + Github Pages. MkDocs is a famous Python powered project used to build documentation for a lot of projects. It's based on Markdown and supports Markdown extensions, custom themes and plugins to extend its rendering capabilities. But it did not support building documentations in multiple languages and this was a wanted feature since 2014... After building documentations using MkDocs I decided to use it to switch my website and blog from Wordpress to a static page generator. I thus took on the challenge to contribute localization support to the MkDocs project because I needed it and it could benefit the community. After 2 months of work, 175 comments and 85 commits over 55 files I'm glad that my PR have been merged and is part of the MkDocs 1.2 version. I learned a lot along the way and I wanted to share my experience and a comprehensive walk through to get you ready and happy to use these new MkDocs features! License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Why You Should Consider Getting a Python Pet Project [EuroPython 2021 - Talk - 2021-07-28 - Brian] [Online] By Christian Burger If you are managing developer teams or departments a pet project may be a helpful tool to stay out of your developers hair and learn about the technologies used in your department without blocking your developers to babysit you. If you are like me and have a development background, you will want to get your hands dirty and start fixing bugs and implementing stories. However, this can have many negative side effects. Breaking established rules is easier in a leadership position and sets a bad precedent. By becoming a last instance for each technical decision you take away personal identification with the work of your engineers. It may also lead to distrust. With this talk, I want to share some of my experiences in that regard. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Managing transient dependencies [EuroPython 2021 - Talk - 2021-07-28 - Ni] [Online] By Joel Christiansen Python packaging has come a long way since the days of easy_install and eggs. With the advent of wheels, and more recently pyproject.toml and PEPs 518, 517, and 621, the future looks bright for the world of python build tool. I will briefly explore the history of python packaging, and look at how we can take advantage of these developments to increase reliability and safety in python build tools. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Creative Coding with imagiLabs [EuroPython 2021 - Interactive session - 2021-07-28 - Argument-Clinic [Interactive]] [Online] By Paula Dozsa imagiLabs is an EdTech startup based in Stockholm, on a mission to equip and empower girls to engage with tech. We created the imagiCharm, a programmable smart accessory, so that code and be brought to life and shown off! The imagiLabs app (iOS, Android, and web) is a truly social, inclusive platform for teenage girl coders to develop their skills. We also partner with schools, non-profits, and coding companies to bring groups of students our innovative coding curriculum. This 1 hour virtual session takes coders from lighting up one pixel at a time to making colorful animations in the imagiLabs app. Ideal for kids 8-16, but truly fun for all ~ learn the basics of Python with our creative coding tools! License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Federated Machine Learning with Python [EuroPython 2021 - Talk - 2021-07-28 - Parrot [Data Science]] [Online] By Dhanshree Arora Imagine a world where all the data generated on your phone and on your wearables never left these devices without compromising your user experience. Or, a world where AI collaboration between data owners and developers did not have to be slowed by bureaucracy and data compliance laws like the GDPR. Federated Machine Learning, originally introduced in 2015, aims to create this world. It is the gift of distributed computing to Artificial Intelligence for training models without compromising data privacy. Federated Machine Learning is a model training technique in which the data never leaves the source (for example, a data silo, a smartphone, or an IoT device) and a copy of a global model is trained at source while sharing only the learning with the global model. In this talk, I will present an introduction to privacy preserving machine learning with a focus on federated ML, and make a case for federated ML beyond just Gboard and into enterprises. The session will aim to demystify the jargon around Federated Machine Learning, specifically terms such as horizontal vs vertical federated ML, cross device/cross silo training, centralized vs decentralized training, and data centric vs model centric federated learning. I will briefly introduce existing FedML implementations in Python and also demonstrate a live code walk-through for a minimal centralized federated learning system built using python-socketio and confluent kafka. Finally, I will discuss the challenges faced by enterprises in incorporating federated machine learning. The most notorious difficulty with Federated ML is non-IID data. Other technical difficulties include network latencies affecting training coordination, single point of failure in centralized federated learning systems, computational limitations at source nodes, etc. Additionally, in data centric federated ML, where a data provider allows AI developers to use their data to build models, federated ML poses challenges for early stage EDA and development. I’m excited to talk about federated ML, which is ripe with opportunities for research and development, and the tech community is finally ready to adopt it. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Continuous Documentation for your code [EuroPython 2021 - Talk - 2021-07-28 - Optiver] [Online] By Anastasiia Tymoshchuk Do you document your code? Do you think it is important? Imagine that you need to get back to your code in 6 month after you wrote it, there is always a big possibility that you will have to spend some time to find out how this code works. Or if someone else wrote some code, which is already in production and your task is to fix a bug in it and there is no documentation and no one actually knows what this code does. There are more benefits of implementing continuous documentation for the code: easy to onboard new team members, easy to share knowledge, if this code is open source - easy to start contributing, easy to see purpose and motivation of each piece of code, easy to keep versioning for each new release of the code. In this talk you will see the difference between documentation types and a demo in the end of the talk. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Innovation in the newsroom [EuroPython 2021 - Talk - 2021-07-28 - Brian] [Online] By Ben Nuttall In BBC News Labs, we're always looking for ways to innovate without requiring production teams to change their workflows. We investigated ways we could enrich our digital output by extracting detailed information about the contents of our TV and radio programmes from their running orders. Like many traditional broadcasters, the BBC uses the MOS Protocol for communications between newsroom computers and servers where media files such as audio and video are stored. Production teams create running orders using enterprise broadcasting tools, and every time they add details or make changes, XML messages are emitted by the newsroom computer systems. We've created a way to process these messages to build up a machine-readable version of the running order. We developed a general solution for dealing with MOS messages - a Python library called mosromgr (MOS running order manager). It's based on open standards and could be useful to other broadcasting organisations, so we've released it under an open source licence. This library was developed by the BBC News Labs team as part of a series of projects based around extracting information from running orders from the BBC's TV and radio programmes. This talk aims to share the detail of our innovation projects investigating personalisation, automatic chapterisation and live notifications, and showcases our Python library and AWS pipeline. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Should We Return to Python 2? [EuroPython 2021 - Talk - 2021-07-28 - Ni] [Online] By Miroslav Šedivý Migration to Python 3 is over, but that's not the end of the journey. Although your code runs with the currently supported Python 3.6 to 3.9, there may be some pieces of code that look obvious to you, but may surprise younger developers who have never seen Python 2 code. A few months ago, I started looking for Python projects on GitHub and helped them to get rid of those Python 2 relics. I'll show you a few recipes beyond the automatic tools, how to make your code modern and prepared for future updates. And no, we should not return to Python 2. We should get rid of it completely. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/

Introducing Asynchronous SQLAlchemy [EuroPython 2021 - Talk - 2021-07-28 - Parrot [Data Science]] [Online] By Sebastiaan Zeeff With the increasing popularity of asynchronous frameworks, such as FastAPI, communicating asychronously with databases has become a hot topic in Python development. While there were already a lot of database drivers with asynchronous support available, support for asynchio in Object-Relation Mapping (ORM) frameworks was a lot rarer. That is, until the release of version 1.4 of SQLAlchemy back in March of 2021, which added support for Asynchronous I/O to one of the most popular ORM frameworks for Python. In this talk, Sebastiaan Zeeff will give an overview of the newly added support for asyncio in SQLAlchemy. He will go over how easy it is to set up and use the new AsyncEngine, show you how to avoid getting bitten by some of the pitfalls, and explain how you can use the synchronous functions and methods of SQLAlchemy under asyncio. While this talk is an introduction to SQLAlchemy's asyncio support, it is aimed at those who already have some experience with ORM and asyncio. Extensive knowledge of SQLAlchemy is not required, although having a bit of experience with the framework won't hurt. License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/ Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/