List of videos

"gRPC Python, C Extensions, and AsyncIO EuroPython 2020 - Talk - 2020-07-24 - Microsoft Online By Lidi Zheng, Pau Freixes Goal - Encourage Python developers to understand C extensions by sharing gRPC Python’s practice, and advocate the adoption of AsyncIO. Prerequisite - Understand thread vs. process; - Interested in asynchronous programming. gRPC Brief - What’s gRPC Core? And what is gRPC Python? Cython To The Rescue - Why we picked Cython among all other available tools (e.g., pybind11, ctypes) - Debuggability: pdb & gdb The GIL Friction - How to delegate work to C extension - How to make multithreading work AsyncIO Topic - Not blocking the loop, the main headache. - Non-blocking I/O solution 1: replacing C libraries’ I/O operations - Non-blocking I/O solution 2: dedicated background poller thread - Performance improvement (10k - 20k for client, 4k - 16k for server) Migration to AsyncIO - Tolerate multithreading and AsyncIO in the same application - Make both API co-existable in the same application 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/ "

"Lightning Talks 1 EuroPython 2020 - - 2020-07-23 - Microsoft Online 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/ "

"Morning Annoucements EuroPython 2020 - 2020-07-24 - Microsoft Online 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/ "

"API-schema-based testing with schemathesis EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Alexander Hultnér The goal with this talk is to introduce the audience to property-based testing for API’s using schemas to automatically generate test scenarios, enabling them to write more powerful tests faster. The talk will focus on a subset of the field of property-based testing where we focus on testing by automatically generating properties and test strategies from the API Schemas that we often already have. These tests ensure that our APIs conform to their specified schema and enables us to write a much larger amount of tests in less time. I will focus on the schemathesis library which leverages the strong hypothesis library as well as the hypothesis-JSONSchema extension strategies, and will in the future also support GraphQL via the hypothesis-graphql strategies. I’m a contributor to schemathesis and currently working on the future GraphQL support with schemathesis creator, Dmitry Dygalo. I will also compare it with its predecessor “swagger-conformance”, pure property-based testing through hypothesis, schema strategies with hypothesis-graphql and hypothesis-jsonschema, and discuss their advantages and disadvantages. I will also briefly talk about “QuickREST: Property-based Test Generation of OpenAPI-Described RESTful APIs” (https://arxiv.org/abs/1912.09686), the research paper that’s part of the inspiration for these tools. By focusing on property-based test generation using schemas we already have, I will show that a field like property-based testing, which can seem quite daunting at first, actually can have a low barrier to entry while yielding large amounts of value in return and is useful for most common web projects today. The talk will show how formal schemas for APIs can and will continue to provide additional value outside the scope of documentation. 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/ "

"HTTP/3 – Why should I care? EuroPython 2020 - Talk - 2020-07-23 - Brian Online By Miloslav Pojman HTTP is the foundation of the current web, and HTTP/3 is the upcoming major version of it. The new version is built on top of the QUIC transport protocol, originally developed in Google. HTTP/3 can change the Internet as we know it today. Since its beginning in the 90s, HTTP transfers data over TCP to ensure reliable connections between clients and servers. QUIC is a TCP alternative, reimplemented on top of unreliable and connectionless UDP. Proprietary Google implementation of QUIC is deployed worldwide and supported by Chrome browsers. Future HTTP/3 will be hopefully standardized by IETF soon, but many diverse implementations are available already today. HTTP/3 improves performance and increases privacy. The switch from TCP to QUIC allows us to address the inherent limitations of previous HTTP versions. The QUIC protocol is completely encrypted, including traffic control headers, which are visible in TCP. This talk introduces HTTP/3 and the underlaying QUIC protocol. It shows both advantages and disadvantages of the new technology, and it describes the landscape of the current implementations and suggests what you can try today. 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/ "

"The Hitchhiker's Guide to CLIs in Python EuroPython 2020 - Talk - 2020-07-23 - Microsoft Online By Vinayak Mehta Command-line applications and interfaces are used by both newcomers and experienced Python developers everyday. But do you know how they came to be? Hop on to this ship as we go through the CLI galaxy and look at its history, explore the CLI anatomy and discover some Python packages that can help us create them. We’ll then look at some widely used CLIs of our time. And emulate one of them by creating our own CLI using Click. Finally, we’ll package it and publish it on PyPI. Are you ready to travel faster-than-light using this ship’s Infinite Improbability Drive? Carry your towel! 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/ "

"Durable Functions: A More Durable Azure Function EuroPython 2020 - Poster session - 2020-07-23 - Poster 1 Online By Joseph Song 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/ "

"Probabilistic Forecasting with DeepAR and AWS SageMaker EuroPython 2020 - Talk - 2020-07-24 - Parrot Data Science Online By Nicolas Kuhaupt In time series forecasting we are interested in how the time series is going to continue in the future. This is of high importance in areas like forecasting energy production from renewable resources, forecasting demand of customers or the price of products. Many forecasting algorithms provide only the prediction. However, oftentimes we are also interested in the likelihood of the prediction and how much it may vary. This is what probabilistic forecasting is for. With every forecast, we also obtain an upper and lower bound with certain probabilities. For a long time, probabilistic forecasting was limited to traditional techniques like ARIMA. DeepAR is an algorithm that allows us to combine Deep Learning techniques with probabilistic forecasting. Additionally, in contrast to training a model for each time series individually, DeepAR suggests training one large forecasting model for all related time series. The algorithm was developed by Amazon and is also provided in AWS SageMaker. In this talk, we will understand the theoretical basics of DeepAR, have a look at a practical time series example and will demonstrate an implementation. In the end, you will be prepared to get started with your own forecasts. 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/ "

"Building quantum applications with D-Wave's Leap EuroPython 2020 - Talk - 2020-07-24 - Ni Online By Alexander Condello In the past, quantum computing was largely reserved for researchers, physicists, and scientists with direct access to physical quantum computing systems. But the game has changed, thanks to the cloud. Barriers to quantum computing are coming down quickly. Today, cloud access (like D-Wave’s Leap 2 quantum application environment) and improvements in quantum computing hardware, software, and developer tools are allowing programmers around the world to code on live quantum computers in real-time. Developers, students, and researchers around the world can now tap into the power of a quantum via their browser — quantum mechanical knowledge not required. Users and private companies have already built over 200 early applications on D-Wave’s computers in industries ranging from automotive to machine learning, aerospace, finance, and beyond. The quantum application era is here, and the growing quantum developer community is making it a reality. In this session, Alex Condello, Manager of Applications Development Technology and Tools at D-Wave Systems, will talk about the burgeoning quantum application development ecosystem, and how developers can start learning to code on a quantum computer today. This includes a walkthrough of Leap 2, D-Wave's new quantum cloud service equipped with hybrid solvers, and D-Wave's Ocean SDK. Alex will also explore some of the early applications that developers and companies have built to-date. 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/ "