Joe Jevnik: Zarr vs. HDF5 | PyData New York 2019 скачать в хорошем качестве

Joe Jevnik: Zarr vs. HDF5 | PyData New York 2019

Zarr and HDF5 are libraries and data formats for storing chunked, compressed N-dimensional data. This talk will give a brief introduction to the their shared functionality, but then focus on the their differences. This talk cover how show how each library handles compression, data storage, and extension points. This talk should help the audience choose the correct tool for their problem. www.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: https://github.com/numfocus/YouTubeVi...