List of videos

EuroPython 2022 - Event-driven microservices with Python and Apache Kafka - presented by Dave Klein [Wicklow Hall 1 on 2022-07-13] Building distributed systems can be challenging, and that's what microservices are. With traditional request/response based architectures, it is easy to end up with services that are tightly coupled, making them difficult to maintain and extend independently. While not a silver bullet, an event-based architecture makes it easier to maintain loose coupling. It also makes it easier to extend and evolve our systems without resorting to a rewrite. In this presentation, we will look at an example of an event-driven microservices application and discuss some things to consider when adopting this approach. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Managing the code quality of your project. Leave the past behind: Focus on new code. - presented by Andrea Guarino [Wicklow Hall 1 on 2022-07-13] As developers we often have to deal with legacy projects and, at the same time, we want to keep the quality and security of our deliverables under control. As soon as we start running some linter (like Pylint or Flake8) on such a legacy project, there is a huge number of violations. To handle those issues, we might want to start by only looking at the changed files in a pull request instead of the entire project, for example by using _git diff_ _pylint `git diff --name-only --diff-filter=d`_ During this talk I’d like to push this concept a bit further and outline an approach and philosophy that can be helpful in dealing with code quality : Clean as you code. 1. What is "Clean as you code"? - Not only about violations: It can be extended to code coverage and all code metrics in general. - The quality you want to measure should be based only on recent changes. 2. "Clean as you code" matters? - It helps your team stay focused on delivering new features - It helps you deal with technical debt incrementally: Sometimes you might need to modify old code, and, at that point, you might be able to fix existing violations 3. How to apply "Clean as you code"? - Shaping a *quality gate* in order to define code quality standards for the software delivered by your team today - Using appropriate tools (like SonarQube) This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - The intricate art of making your (internal) clients happy - the story from a Python-centered Infra team - presented by Paulina Winkowska [Wicklow Hall 1 on 2022-07-13] If you have ever worked on an internal company project, you may feel it deep in your bones. Let’s say that you discovered a need for a generic technological component in your organization’s tech stack. You identified stakeholders, gathered requirements, and started agile iterations on providing it. Then comes a day when you can show the MVP to your internal client! Yet… the client has lost his interest: maybe right now he says that he has already come up with his own temporary solution and he has no intention to switch to another one? Building internal products differs from commercial ones - there is no flow of cash and your clients are fully transparent. In this talk, I would like to share with you my experience and tips connected with developing such internal tools and standards. All of this from the perspective of a member of the Machine Learning Infra team that is delivering its solutions to a rapidly growing ML department in a company whose product is used by 300 million unique users per month. But let’s be specific! I will talk about: - Common pitfalls and try to dig up the reasons for why they happen when developing internal solutions - How one can approach delivering tools (spoiler: pilot programs, guilds, and more!) - Learnings from introducing such approaches (what worked, what didn’t) in our case This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Using python to predict Asset price reversals. - presented by Niall O'Connor [Wicklow Hall 1 on 2022-07-13] Using Pandas, Python and Plotly to locate potential trend reversals in Stocks, Crypto or any OHLC feed. Learn how to locate Fibonacci retrace levels and predict price reversal zones for the lowest risk entry to a trade. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

Faceoff Fun with Python Frameworks: FastAPI vs Flask [EuroPython 2021 - Talk - 2021-07-28 - Ni] [Online] By Tonya Sims “All the cool kids are using FastAPI for API development.” Imagine hearing this, just as you start getting more comfortable using other frameworks, like Python’s Django or Flask, to build out your API’s. Ladies and gentlemen, there’s a new kid on the block and in this talk there’s going to be an epic faceoff between FastAPI and Flask. What is Flask? Flask is a micro web framework built for Python designed to get your application up and running quickly. It’s lightweight and used by many different well known projects. What is Fast API? Fast API (aka the new kid) is a modern Python web framework that takes all your favorite features from other tools and combines them into one. It was built for speed, rapid development and enhanced developer experience. We’ll do a side by side comparison of the two frameworks including features and code structure, using a REST API. By the end of the faceoff you’ll have a much better understanding of which one you’ll use in your next project. Let’s analyze the pros and cons of each and why you’d use one over the other. You may even find a lot of similarities between the two and some contrast as well. You’ll see different categories of features for the frameworks and a winner will be chosen for each. Finally, no matter which you prefer, FastAPI and Flask are both great choices for API development, so let’s have fun and let the faceoff begin. 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/

Wildfire Modeling in Yosemite National Park [EuroPython 2021 - Talk - 2021-07-28 - Parrot [Data Science]] [Online] By Abraham Coiman In this talk, we will show you the use of GRASS GIS (Geographic Resources Analysis Support System - Geographical Information System) and other geospatial Python libraries within a Jupyter Notebook to simulate wildfire spread in Yosemite National Park California USA. We will also show you a straightforward workflow to obtain and save input geospatial data for wildfire simulation using Google Earth Engine (GEE) Python API, GeoPandas, and geemap (a Python package for interactive mapping with GEE). GRASS GIS commands are generally run into bash shells, thus in this talk, we will demonstrate how we run GRASS GIS commands from Jupyter notebook to model wildfire behavior and display the resulting maps. We expect the audience has a basic understanding of GIS, Remote Sensing, and Python programming. 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/

Leveraging Linked Data using Python and SPARQL [EuroPython 2021 - Talk - 2021-07-28 - Parrot [Data Science]] [Online] By Nabanita Roy Wikipedia is the digital encyclopedia that we use daily to find out facts and information. What could be better than being able to extract the extreme wealth of crowd-sourced knowledge from Wikipedia without using traditional web scrapers? Various community-driven projects extract knowledge from Wikipedia and stores them structurally, retrievable using SPARQL. It can be used to mine data for a range of Data Science projects. In this talk, I will walk through the basics of the Open Web and how to use Python to use this huge open database. The agenda includes the following: • Why Wikipedia? • Introduction to DBpedia and Wikidata • Introduction to Linked Data • How to query DBpedia/WikiData o Build SPARQL Query o Use Python’s SPARQLWrapper • Python Code Walkthrough to create o A Tabular Dataset using SPARQL o A Corpus for Language Models using Wikipedia and BeautifulSoup o An Use-Case leveraging both SPARQLWrapper and Wikipedia to Create Domain-Specific Corpus Prerequisites – Basic knowledge of Python programming, Natural Language Processing, and SQL 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/

Hiring Demystified [EuroPython 2021 - Talk - 2021-07-28 - Brian] [Online] By Mar Bartolome It's no secret that the hardest problems in computer science are cache invalidation and naming things... oh, and hiring. In our industry we've developed a culture and a mysticism around hiring, with certain rituals and practices which are often so detached from reality that they've even become the subject of jokes and memes. Hiring is a difficult problem, yet important to get right. Many developers are faced with the challenge of hiring other team members, without much clue into how to proceed, and end up just copying the well known rituals without stopping to analyze their effectiveness or implications. Often, this results in hindering both companies and candidates, especially those of under represented demographics. In this talk I'll share my experiences and personal opinions both as a candidate and as an interviewer, analyze the implications of popular hiring tactics, and discuss what I consider effective ones, in order to hire the right developers for your team with minimum hassle for both sides. This talk should be particularly useful to lead developers, managers, or any other engineers that might get involved at any level in the process of hiring other team members. But even if you never plan to hire anyone, this talk can still be very revealing for candidates, as it will give them insight on the rationale of the hiring practices themselves, why people usually fail interviews, and help them recognize when a hiring process is reasonable or not. 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/

Python in a world of Pan-Africanism [EuroPython 2021 - Keynote - 2021-07-28 - Optiver] [Online] By Abigail Dogbe The use of Python in Africa is widely spread daily. In this talk, I will take you on a journey of what Python means to us in a Pan-African setting, lessons learned from organizing PyCon Africa, the people behind it, challenges we are facing and reflections on what works in our ecosystem. 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/