Property based testing + Dagster, data orchestrator

Sviluppatori, Sviluppatrici, Appassionati e Appassionate diPythona Milano.

PyMI - Python Milano

Neosperience

✨ 🚀 All set for PyMI January's meetup 🐍 ✨Agenda:<ul><li>👋 18:30 we meet and greet!</li><li>🗣️ 19:00 talks start after a short meetup presentation</li><li>🍻 after talks end we socialize a bit more and we go to dinner someplace nearby: everyone is invited!</li></ul>Venue: we are hosted by the wonderful people of <a href="https://www.neosperience.com/it/" title="https://www.neosperience.com/it/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Neosperience</a>, in <a href="https://maps.app.goo.gl/xRuip2iiTVceXatq6" title="https://maps.app.goo.gl/xRuip2iiTVceXatq6" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Via Privata Decemviri, 20 a Milano</a>.🧑‍🎓 Write Less, Test More - An Introduction to Property-Based Testing Fabio Lipreri, AI Engineer @ <a href="https://xtreamers.io/" title="https://xtreamers.io/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">xtream</a> Unit tests are essential for maintaining code quality, yet sometimes, certain details are missed, potentially resulting in unforeseen bugs. Property-based testing addresses this issue by enabling the automatic creation and verification of various edge cases. Using practical examples and live coding, our talk will delve into implementing property-based testing in Python. We'll examine its advantages and the challenges it presents.👤 I am a Data Scientist with a computer science background. I have a passion for tackling difficult problems with mathematics, statistics, and machine learning while adhering to the best practices of software engineering. Python has been my go-to tool since my university days. I earned a Master's degree in Computer Science from the University of Milan. After graduating, I completed research internships at CERN and Karolinska Institutet. Currently, I work as an ML Engineer at xtream, a boutique firm that applies academic research to business issues.🚀 Dagster: a Modern Data Orchestrator Riccardo Amadio, Data Engineer Bored of old pipeline orchestrator? Difficult to understand if data is up-to-date? Trouble with development workflow of data pipeline? Dagster, an open-source tool, offers a unique paradigm that simplifies the orchestration and management of data pipelines. By adopting declarative principles, data engineers and data scientists can build scalable, maintainable, and reliable pipelines effortlessly. We'll se all the features that can be integrated on a Data Platform with a Modern Data Stack. We will commence with an introduction to Dagster, covering its fundamental concepts, finally we will explore practical scenarios and use cases, with also DBT for empower the power of SQL language.👤 Before of everything I'm developer, data scientist, researcher , cloud addicted. Passionate about Design Patterns, NLP, Deep Learning, Web Development, Cloud Computing. In the free time I love to cook and make barbecue.🙏 In case you will not able to join us, please decline your ticket at least 1 day before the event please. Thanks for your collaboration.

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Property based testing + Dagster, data orchestrator

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