Datashader
@datashader
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#Datashader is an #OpenSource library for rasterizing large amounts of data into beautiful, accurate images. Datashader is a project of @AnacondaInc. #DataViz
Joined June 2017
LOVE this! @Instacart delivery visualizations using #datashader from @jeremystan: https://t.co/JiWPve7Odv
#OpenSource #DataViz #Instacart
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We’re excited to announce our support for Pandata, the scalable open-source analysis stack 🎉 🐍 🌐 Pandata offers a set of general-purpose & powerful open-source data analytics tools enabling scalable data processing for any domain. Read more here 👇 https://t.co/A7U0aHJRod
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📢Videos from @europython are out. 💁♀️If you are interested in big data visualization and data apps check out Jean-Luc Stevens talk 🧵👇 Link below #python #dataviz #datascience @datashader
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Code Dataset Visualization—11.66 million files from the Stack, a @BigCodeProject dataset sourced from permissively-licensed @github repositories spanning 86 programming languages (StarCoder languages subset).
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Our project family continues to grow 🪴🙌! We're excited to welcome @HoloViz_org, who has joined NumFOCUS as a sponsored project! Learn more about the project here: https://t.co/r8tXblZSQP.
#openscience #support #scientificcomputing #datascience
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🎉 We’re thrilled to announce @AnacondaInc’s first ever #DataAppContest !! The competition goes from June 13-30, so start building your team for the chance to win great prizes & showcase your skills! Learn more & register here 👇 https://t.co/5CYS5vTAbM
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We are thrilled to announce the availability of the Panel 1.0 release candidate for general testing! This release represents a leap forward in performance and usability. We need your help to make this a smooth transition, find the announcement here: https://t.co/F281SP9GHy
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We revamped our Bitcoin OTC user ratings example to use Hiveplotlib's @datashader capabilities. We see changes in trust in the network over time that appear to correlate with the price of Bitcoin. For more, check out our docs: https://t.co/gP6FkaIdDx
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Check out this new review of Python viz libraries for geographic applications, comparing Altair, @Bokeh, Cartopy, @Datashader, GeoPandas, Geoplot, GeoViews, hvPlot, and Plotly: https://t.co/dF6ZRzlWl6
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Video visualizing 1,000,000,000 points https://t.co/m3f98C9dbM This is a common example with Datashader. This video is different in that it focuses on performance tuning. When we start, an update takes 40s. When we're done, it takes ~1s. High performance requires thought.
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Cool. Everyone be sure to zoom in and see the pretty snowflakes when these patterns are rendered at high resolution like this...
@souplovr23 Great post @souplovr23 ! Here is an implementation In #Python with @datashader : https://t.co/apvbb6y1HF
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We are excited for @HoloViews, hvPlot, and @Panel_org to start building on the upcoming better support for bioscience and biomedical applications in @bokeh !
Bokeh has been awarded a 2-year grant from the Chan Zuckerberg Initiative!:tada::tada: A big thank you to @cziscience! We are excited to support data visualization for bioscience research:microscope::bar_chart: Read our announcement blog post here:
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Great new @Datashader talk about the UK Census from https://t.co/7rKV0J1yjv:
https://t.co/r1d5OuZOEP
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New post : Download some benchmark road networks for Shortest Paths algorithms https://t.co/Rjcnj6NctQ
#Python #networks #Parquet @DuckDB @Datashader
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@HoloViews @sophiamyang Exciting hvPlot 0.8 news: In addition to @bokeh, you can now create @matplotlib and @plotlygraphs: https://t.co/QOW5Y9tomJ Compared to the default Matplotlib Pandas .plot(), hvPlot adds automatic widgets for exploring data, easy layouts, maps, datashader, and more!
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We are very excited to announce the release of hvPlot 0.8! Discover the new features here: https://t.co/tjOHHTkmin or check out @sophiamyang's amazing video:
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The beauty of matrix eigenvalues. Eigen Values of 1M random matrices of form [A 1 -1; -1 B 0; 1 -1 -1] Made in #Python using @datashader and @matplotlib Inspired from the same viz by @BohemianMatrix
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New in hiveplotlib 0.19 - @datashader with hive plots! 50,000 edges and we can still see their relative density in the figure. See the docs for more info https://t.co/29oIIPCwOV
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☯️ #zen3geo v0.3.0. Now integrated with @datashader to rasterize vector 💠 points/lines/polygons to @xarray_dev grids! New walkthrough #DataPipe using @UNOSAT digitized flood 🌊 masks over #Sentinel-1 #SAR imagery at Johor, Malaysia 🇲🇾 https://t.co/wIskV0VqoV. Now go map 🗺️!
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