Channel: PyData

Category: Science & Technology

Tags: pythonlearn to codeeducationsoftwarepydatalearncodinghow to programjuliaopensourcescientific programmingnumfocuspython 3tutorial

Description: Building Responsible Data Science Workflows: Transparency, Reproducibility, and Ethics by Design Speakers: Valentin Danchev, Ben Marwick, Dr. Brandeis Marshall (she/her), Kirstie Whitaker, Sara Stoudt, Thibault Lestang, Yacine Jernite Summary Diverse communities have developed principles and tools aiming to harness transparency, reproducibility, research design, software reusability, and more recently, interpretability and fairness of data science and AI/ML/NLP models. This workshop will bring together members of these communities to discuss best ways of integrating such principles and tools into responsible data science workflows. PyData Global 2021 Website: pydata.org/global2021 LinkedIn: linkedin.com/company/pydata-global Twitter: twitter.com/PyData pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: github.com/numfocus/YouTubeVideoTimestamps