Bokeh Visualization Library

@bokeh

Bokeh is an interactive viz library targeting modern browsers for presentation. Bokeh helps easily create interactive plots, dashboards + data apps.

Vrijeme pridruživanja: ožujak 2012.

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  1. Prikvačeni tweet

    Bokeh relies on paid cloud services to operate live demo sites, CI infrastructure, sample data downloads, and CDN hosting of BokehJS resources. Help defray these and other project costs by making a donation to today!

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  2. proslijedio/la je Tweet
    25. kol 2019.
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  3. proslijedio/la je Tweet
    2. ruj 2019.
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  4. proslijedio/la je Tweet
    18. stu 2019.

    Bioinformatics and other bits - Choropleth maps with geopandas, Bokeh and Panel

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  5. proslijedio/la je Tweet
    19. stu 2019.

    Intrested in building interactive graphs in ? try using library Real Python has a wonderful tutorial to help you learn how. إضغط على الرابط بالاسفل 👇👇👇

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  6. proslijedio/la je Tweet
    20. stu 2019.

    hop hop un truc de plus dans ma toolbox : je peux générer en quelques secondes les prévisions de pollution pour une ville et hop jolie courbe. Merci un truc python très efficace.

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  7. proslijedio/la je Tweet
    26. stu 2019.

    I know, I know, I am spamming a lot. But plotting with in is so easy and so much fun compared with my previous experience in matplotlib. Just a simple plot here, nothing too magical.

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  8. proslijedio/la je Tweet
    2. pro 2019.
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  9. proslijedio/la je Tweet
    5. sij
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  10. proslijedio/la je Tweet
    8. sij

    Take a sneak peek into features of latest ✅Query support via Connector ✅ Interactive Process Tree browser using ✅Support for querying Azure properties for subscriptions and resources ✅ Updates to download maxmind Geolite db

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  11. proslijedio/la je Tweet
    25. sij
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  12. proslijedio/la je Tweet
    30. sij

    Getting started with bokeh in Jupyter Notebooks Day # 1 via

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  13. proslijedio/la je Tweet
    31. sij

    We are very happy to announce the release of Panel 0.8! This release brings huge performance improvements, support, improved JS linking, easier debugging, support for responsive & plots. All powered by

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  14. proslijedio/la je Tweet

    【動かせるグラフの作り方】 自身のブログやサイトに ユーザーが触って動かせるグラフを作りたいって 思ったことはないですか? pythonのbokehというライブラリを 使えば実現できます! 出力はhtmlであるため、ワードプレスにも導入できますね! こちらはbokehで作った当サイトのツールになります!

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  15. 25. sij

    A recent addition to our Showcase, Dan Kovacek's Flood Measurement Explorer is a great example of an interactive Bokeh dashboard using a range of different visualization types and tools. Thanks, Dan!

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  16. proslijedio/la je Tweet
    25. sij

    First successful Django + Bokeh app implementation. Lots of data points and need to work on styling a little more but I am confident that styling is the only thing that is left now as all of the logic works. Creating dashboards ez

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  17. proslijedio/la je Tweet
    22. sij

    Starting experiment as for now it seems to be the one providing most out of the box plotting and support for

    Prikaži ovu nit
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  18. proslijedio/la je Tweet
    22. sij

    Look out for Dharhas Pothina's presentation on building a user maintainable visualization dashboard from . You can watch the video here:

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  19. proslijedio/la je Tweet
    17. sij
    Odgovor korisnicima i sljedećem broju korisnika:

    The repo you posted was instrumental in my success at integrating Bokeh applications into my website. Thanks !

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  20. proslijedio/la je Tweet
    15. sij

    How much ice will remain in the Alps by 2050? By 2100? A recent study by and colleagues provides worrisome numbers, crucial for planning and . Here is a small of their data: (made with )

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  21. proslijedio/la je Tweet
    16. sij

    Check out the new -accelerated tools from , cuxfilter: browser-based dashboard for notebooks, cuDataTile, integration, and more.

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