List of videos

"Running EuroPython 2020 as an online conference EuroPython 2020 - Talk - 2020-07-24 - Microsoft Online By Marc-Andre Lemburg We had been planning the EuroPython 2020 conference in Dublin, Ireland ever since late in 2019, when we ran the CFP. In March, it became apparent that the COVID-19 crisis would not be over by July 2020 and so we had to make a hard decision to either drop the event for 2020 or go online. Since we wanted to support the community even in difficult times, we decided to go for the online version -- even though this would be much less engaging than the in-person event. For the past months, we have been creating a concept for the conference from scratch. The talk will present our approach, how it came to be and which challenges we faced. The concept should be usable by other conference as well. 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Advanced Infrastructure Management in Kubernetes using Python EuroPython 2020 - Talk - 2020-07-24 - Microsoft Online By Gautam Prajapati Many of us are using Kubernetes in production. A Kubernetes Operator is a way to automate packaging, deploying, and managing of a Kubernetes Application. It is a software alternative to a human operator who has deep knowledge of how to set up, deploy, and manage a particular piece of infrastructure and what to do if it isn’t behaving correctly. Let’s see how we can automate all of this while staying in the Python ecosystem. It will be helpful to know some basic concepts of Kubernetes(Deployments, Services, Pods, Configmap etc.) and Celery(docs.celeryproject.org) to get the most out of this talk. Talk is divided into four phases. Phase I - Problems and Opportunities We're going to see some simple examples/problems where a lot of manual effort is involved so as to connect audience to the problem. We're going to discuss problems with configuration management, database cluster setup and introduce the focus problem of the talk which is around automating the setup of a Celery cluster. Phase II - Incrementally Approaching the Solution We're going to incrementally approach the automation each of the manual steps involved in running a Celery cluster in Production. We're going to discuss the extension capabilities in Kubernetes using CRDs and Custom Controllers which are going to help us manage our Celery cluster automagically. Phase III - Celery Operator in action We're going to see the code of custom controller and the whole operator in action. We create the newly defined celery resource and see how the operator works on bringing up the worker and flower deployments and handles autoscaling based on queue length. Phase IV - Conclusion and Q&A We're going to talk about different use-cases and what is world doing with Operators. We'll discuss the next steps for the Celery operator and some resources to help build operators. We'll end the talk with a Q&A. Slides for the talk are available on - https://bit.ly/europython20-ppt Celery Operator POC I built for this talk is open source - https://github.com/brainbreaker/Celery-Kubernetes-Operator 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Meditations on First Deployment: A Practical Guide to Responsible Development EuroPython 2020 - Keynote - 2020-07-24 - Microsoft Online By Alejandro Saucedo 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Interactive Mapmaking with Python EuroPython 2020 - Talk - 2020-07-24 - Microsoft Online By Sangarshanan Veeraraghavan GeoDataframes are awesome for working with GIS data in Python as it provides the goodness of pandas for geographic data but So let's use them to create some cool interactive maps This talk introduces Geopatra, an open-source mapping library that can be used to quickly map geodataframes with libraries like folium, kepler.gl, plotly, etc. Currently interactive mapping with geodataframes is not very straighforward for beginners and requires you to understand the interfaces exposed by different mapping libraries. geopatra attempts to abstract all the complexities and tries to provide a unified framework for mapping geodataframes ol Introduction (2 mins) Who am I? Setting the expectations Working with Geodataframes (5 mins) Reading Spatial data as a GeoDataframe The awesomeness of GeoDataframes (An overview of some of the amazing things you can do with a single line of code eg: Spatial joins, Manipulations, and transformations) Now that we have established our love for geopandas lets map geodataframes Let the Mapmaking begin (10 mins) Basic Non Interactive maps with Geopandas and Matplotlib Creating basic interactive maps with Folium, Plotly & Kepler (GeoJSONPlots, Clustermaps, Heatmaps, H3gridmaps) The number of steps vs the number of necessary steps Enter Geopatra (10 mins) The need for Geopatra (Could it be any Easier and Faster) Wrapping up popular mapmaking libraries for GeoDataframes Create interactive maps with just a single line Future work and Discussion :) /ol 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Digital Transformation in the fight against Coronavirus EuroPython 2020 - Talk - 2020-07-24 - Brian Online By Bruno Paixão The Corona Virus - COVID-19 pandemic caused a significant impact on public services. In particular, it brought a massive digitalization of services that were offered in person. In addition, there was a great deal of pressure on official channels, whether to seek a service or to report a fact. Qualified and official information becomes an element in combating the pandemic. Knowing where to look for information, reporting a fact or getting a qualified response are essential steps to maximize the efficiency of the citizen's decision-making process, especially in a scenario of such uncertainty. The State has a fundamental role, whether as an inducer, executor or provider of the means necessary for information and decision-making to be effective at that time. Connected by the growing demand, the State of Goiás, through the State's Comptroller General, published a series of technological tools with the objective of bringing information to the citizen, promoting social control and improving public policies to fight the Coronavirus. This document seeks to show how technological tools were adopted and implemented in terms of transforming the ombudsman channels in the State of Goiás through the State's Comptroller General in actions to combat the Coronavirus pandemic. The document seeks to show how the transformation of the ombudsman channels occurred through machine learning techniques and data visualization. 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"There’s a Snake in the Birdhouse! EuroPython 2020 - Talk - 2020-07-24 - Brian Online By Mason Egger It’s no surprise why many of us are so enamored with Python. Its simplicity, accessibility, and community make it a prime choice for many projects. However, not all software engineering shops use Python, maybe even some of the jobs you work at. Introducing Python to your company and building a Pythonic culture from the ground up is no small task, but it can be done. Join me as I take you through the journey of getting Python from zero to hero within my previous company. I’ll share the experience from start to finish, including what worked, what didn’t, what I would have done differently, and how I evangelized Python to bring it to be a supported language within my company’s ecosystem. Viewers will leave having learned from my experiences—both successes and mistakes—and with a solid plan for implementing Python at their job. 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Cultivating a Culture of Creativity, Collaboration, and Captainship EuroPython 2020 - Talk - 2020-07-24 - Brian Online By Amber Vanderburg In my work as a consultant, coach, and organizational leader- I work with amazing companies around the world, helping them craft and implement strategies to build high-performing teams. And when I work with these teams, I notice that there are two factors that make all the difference between a good organization and one that is changing the world. The first is having a culture of collaboration – and this means collaboration across individuals, across departments, and across teams – really - it’s a culture that’s less about competition and cutthroat political systems.. And more about helping each other achieve the extraordinary. The second quality is organizations that treat and expect their employees to act like owners. Owning not just their behaviors, actions, and responsibilities, but owning outcomes and becoming a voice for the organization. No matter where your organization is at today, the good news is– there are proven strategies to create a culture of collaborative ownership at your organization and that’s what I’m going to teach you in this course. I’ll share how you can build momentum from a carefully crafted vision and goals, I’ll help you improve communication and drive ownership, I’ll help you foster creativity, and finally, I’ll help you train up leaders in your organization and help you meet more of your goals. So, if you’re ready to transform your organization. let’s go! LEARNING OBJECTIVES: Attendees will learn: How to transform a command-obey dynamic to one of creativity and innovation through opportunities for ownership. How to collaborate with opportunities for ownership through proven methods to increase connectivity and engagement in the team. How to foster captainship within your organization. How to apply the ideas of collaborative ownership specifically in individual organizations. SESSION OUTLINE: Fostering an Ownership Culture (Creativity and Innovation)- Ownership Activity -Fostering a Collaborative Culture- Collaborative Activity - Fostering Captainship Culture - Captainship activity- The Application of Collaborative Ownership for Personal and Organizational Success- Applying Collaborative Ownership to Organizations and Self Activity -Conclusion Q&A 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Migrating codebases with millions of modules from Python 2 to Python 3 EuroPython 2020 - Talk - 2020-07-24 - Brian Online By Francisco Passos This has been mitigated with tooling and education, but for the most part it requires human action and decision. While most codebases have somewhere between tens and thousands of Python modules, some companies may maintain a codebase with millions of modules. This presentation covers techniques and tooling that Google created to enable the developers to scope their migration needs, plan the work required, execute effectively at scale and collaborate across teams/dependencies. 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://ep2020.europython.eu/events/speaker-release-agreement/ "

"Tests that (Almost) Write Themselves EuroPython 2020 - Talk - 2020-07-24 - Brian Online By Stefan Baerisch What do we do when the only test requirements we have are ""the new system should have the exact same results as the old system""? Golden Master Testing may help. The idea behind golden master testing, also called characterization testing, is quite simple: We don't write test cases that specify what the expected result is. Instead, we take the output from a prior, working version of a program (the golden master) and compare it to the result of the current version. If there is a difference between the output of the current system and the golden master, we may have found a bug. If implemented right, Golden Master testing can be very useful to test legacy systems or data processing programs with complex input and outputs. Golden Master Testing is also a good addition to our regression testing processes. In practice, implementing Golden Master testing is not quite that easy. Just checking if the outputs are equal will often not work: If the output includes times and dates or random elements, a simple comparison will not be enough. Luckily for use, with Python, we have the perfect tool to process all kinds of outputs and only look at the parts of the output that are important for the outcome of the test. In this talk, we will look at best practices for Golden Master Testing with Python. We will see techniques to identify and quantify the relevant differences between our golden master and the current output. 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://ep2020.europython.eu/events/speaker-release-agreement/ "