List of videos

"The Joy of Creating Art with Code. EuroPython 2020 - Talk - 2020-07-23 - Microsoft Online By Neeraj Pandey Art is everywhere and it’s beautiful. Unleash the creative artist inside you with the beauty of Generative Art. Learn how algorithms are used to create these aesthetic art forms, how motion and structures emit sounds and what toolkits are required to do so. This talk looks at Python as an artistic and visual programming language with the simplicity and beauty of generative art using Processing, PyCairo and webGL. The audience will see an evolution of generative art over the last 50 years, how autonomously these art forms are created using algorithms and how we can stimulate paints and other media. The talk will be showing how to create artworks inspired by geometric and mathematical patterns which also includes randomness with hands-on examples (Two such examples are added here: https://imgur.com/a/lycAYnj ). 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/ "

"How to write multi-paradigm code EuroPython 2020 - Talk - 2020-07-23 - Microsoft Online By Elias Mistler Python is a powerful multi-paradigm language which combines elements of object-orientation and functional programming. Both concepts can be really powerful if used right. But what if you use them together? It can be pragmatic and very efficient, but things can also get messy really quickly. This talk explores peaceful co-existence of oo-classes and pure functions in the same code base. The focus is on identifying the right tool for the right job and bringing together the best of both. The main topics are: Code Structure Data Structures State Handling Multiple implementations Prerequisites: There are no formal prerequisites for this course, although it is recommended that participants have a strong background in Python and its code structuring mechanisms, as well as a deep understanding of at least one of the paradigms of OOP and FP. 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/ "

"A pythonic full-text search EuroPython 2020 - Talk - 2020-07-24 - Microsoft Online By Paolo Melchiorre A full-text search on a website is the best way to make its contents easily accessible to users because it returns better results and is in fact used in online search engines or social networks. The implementation of full-text search can be complex and many adopt the strategy of using dedicated search engines in addition to the database, but in most cases this strategy turns out to be a big problem of architecture and performance. In this talk we'll see a pythonic way to implement full-text search on a website using only Django and PostgreSQL, taking advantage of all the innovations introduced in latest years, and we'll analyse the problems of using additional search engines with examples deriving from my experience (e.g. djangoproject.com or readthedocs.org). Through this talk you can learn how to add a full-text search on your website, if it's based on Django and PostgreSQL, or you can learn how to update the search function of your website if you use other search engines. More info on https://www.paulox.net/2020/07/23/europython-2020/ 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/ "

"Serverless 2.0 with Cloudstate.io-stateful functions with Python EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Sean Walsh Serverless is revolutionary and will dominate the future of Cloud. Function-as-a-Service (FaaS) however—with its stateless and short-lived functions is only the first step. What’s needed is a next-generation Serverless platform and programming model for general-purpose application development in the new world of real-time data and event-driven systems. What is missing is ways to manage distributed state in a scalable and available fashion, support for long-lived virtual stateful services, ways to physically co-locate data and processing, and options for choosing the right data consistency model for the job. This talk will discuss the challenges, requirements, and introduce you to our proposed solution: Cloudstate—an Open Source project building the next generation Stateful Serverless, running on Kubernetes, Akka, gRPC, Knative, and GraalVM, with polyglot support for Python, Java, Go, JavaScript, Swift, Scala, Python, Kotlin, and more. 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/ "

"Yet another package for multi-tenancy in Django EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Lorenzo Peña Django is a popular, solid web framework for perfectionists with deadlines, with a wide ecosystem of packages that extend its powers in multiple directions. In the era of peaking popularity of Node/Deno, microservices, and heavyweight browser rendered webapps, Django still remains a triumphant monolith maker, very capable of major undertakings in the web arena. For all you Django-lovers out there, it seems to me like a matter of time before you have to do some form of multi-tenancy in Django. Taking a solution that works well for one tenant and extending it to multiple tenants should still be a problem for perfectionists with deadlines. Interestingly, when it comes to covering all the many facets of multi-tenancy, Django can be not so batteries included, as one might end up working around or 'hacking' the framework in order to get things done. In this talk I will walk you through the challenges of bringing multi-tenancy to a Django project. We'll cover the fundamental plumbing required to make it work reliably, securely, and elegantly. You will be expected to have a basic knowledge of Django (models, settings, users, URL reversing), and you will learn the working logic behind popular multi-tenancy packages like a href=""https://github.com/bernardopires/django-tenant-schemas""django-tenant-schemas/a and a href=""https://github.com/tomturner/django-tenants""django-tenants/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/ "

"IoTPy: Python + Streams + Agents for Streaming Applications EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Kanianthra Chandy Sensors, social media, news feeds, webcams and other sources generate streams of data which are analyzed to control actuators, generate alerts, and feed displays. These applications process streams on onboard computers, such as the Raspberry Pi, connected directly to sensors, and send summarized information to the cloud for further processing. These applications have two characteristics: (1) Concurrency: The applications are concurrent using multiple threads to connect to sensors and actuators, shared memory across multiple processes on multicore machines and message passing for distributed systems spanning multiple computers. (2) Data Analysis: The applications use programs from a variety of libraries including those for signal processing, machine learning and natural language processing. Developers of streaming applications can use open-source software to deal with both characteristics. Concurrency: multiprocessing.Array can be used to construct shared-memory multiprocessing Python programs in multicore computers, and frameworks such as APMQ and Kafka can be used to build distributed applications. Data Analysis: A vast collection of open-source Python libraries can be used to analyze data in streams. Developers of streaming applications encounter an impedance mismatch between the software libraries that address these two characteristics. The next paragraph describes the mismatch and how IoTPy addresses it. Programs in most software libraries apply a function to data, get results, and terminate execution. By contrast, streaming applications are perpetual processes that analyze endless streams of data. IoTPy helps developers: (1) build non-terminating streaming applications by harnessing conventional terminating programs from Python’s huge base of libraries and (2) create multithreaded, multicore and distributed Python applications by simply connecting streams to each other. https://www.AssembleSoftware.com 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/ "

"Staying for the Community: Building Community in the face of Covid-19 EuroPython 2020 - Keynote - 2020-07-23 - Microsoft Online By Naomi Ceder 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/ "

"Best practices for production-ready Docker packaging EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Itamar Turner-Trauring You know the basics of packaging your Python application for Docker, but do you know enough to run that image in production? Bad packaging can result in security and production problems, not to mention wasted time try to debug unreproducible errors. And even if you figure out the best practices, there's still a huge number of details to get right, many of which interact with each other in unexpected ways. My personal list includes over 60 Docker packaging best practices, and it keeps growing. So where do you start? What should you do first? To help you quickly package your application in a production-ready way, this talk will give you a plan to help you prioritize and iteratively implement these best practices, by starting with the highest priority best practices (security, automation), moving on the correctness and reproducibility, and finally focusing on optimization. To make this process more concrete, along the way you'll also learn some of the techniques needed to build production-ready images: Running as a non-root, for increased security. Debugging C crashes with faulthandler. Faster startup with pre-compiled .pycs. Smaller images by disabling pip caching. Avoiding Alpine Linux. And more! At the end of the talk you'll also get some resources to teach you even more best practices that can't be fit in a 30-minute talk. This talk is for Python programmers who know the basics of Docker packaging, and need to run the resulting images in a production environment. 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/ "

"Effective Code Reviews EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Vinicius Gubiani Ferreira Does your company uses code review? In this talk I will demonstrate why it should start using them immediately, share the many benefits and situations we've gone through, besides good practices that should be used for effective code reviews, that add quality to the product/service that is being delivered. 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/ "