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#dataapps — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dataapps, aggregated by home.social.

  1. Hasan Ali Gültekin @[email protected] ·

    The Streamlit Rerun Problem: How on_change Causes Multi-User Data Loss (Python Solution)
    In multi-user Streamlit apps, on_change can trigger reruns that reset state and wipe unsaved edits.
    This post explains why it happens and shows a safe Python pattern to track changes, preserve drafts, and save reliably.

    🔗 (add link)

    #Streamlit #Python #DataApps #Engineering #DataScience
    @chartrdaily @pythonclcoding
    @theartificialintelligence
    @programming
    @Mastodon

    #streamlit #python #dataapps #engineering #datascience
  2. Hasan Ali Gültekin @[email protected] ·

    The Streamlit Rerun Problem: How on_change Causes Multi-User Data Loss (Python Solution)
    In multi-user Streamlit apps, on_change can trigger reruns that reset state and wipe unsaved edits.
    This post explains why it happens and shows a safe Python pattern to track changes, preserve drafts, and save reliably.

    🔗 (add link)

    #Streamlit #Python #DataApps #Engineering #DataScience
    @chartrdaily @pythonclcoding
    @theartificialintelligence
    @programming
    @Mastodon

    #streamlit #python #dataapps #engineering #datascience
  3. Hasan Ali Gültekin @[email protected] ·

    The Streamlit Rerun Problem: How on_change Causes Multi-User Data Loss (Python Solution)
    In multi-user Streamlit apps, on_change can trigger reruns that reset state and wipe unsaved edits.
    This post explains why it happens and shows a safe Python pattern to track changes, preserve drafts, and save reliably.

    🔗 (add link)

    #Streamlit #Python #DataApps #Engineering #DataScience
    @chartrdaily @pythonclcoding
    @theartificialintelligence
    @programming
    @Mastodon

    #streamlit #python #dataapps #engineering #datascience
  4. Hasan Ali Gültekin @[email protected] ·

    The Streamlit Rerun Problem: How on_change Causes Multi-User Data Loss (Python Solution)
    In multi-user Streamlit apps, on_change can trigger reruns that reset state and wipe unsaved edits.
    This post explains why it happens and shows a safe Python pattern to track changes, preserve drafts, and save reliably.

    🔗 (add link)

    #Streamlit #Python #DataApps #Engineering #DataScience
    @chartrdaily @pythonclcoding
    @theartificialintelligence
    @programming
    @Mastodon

    #datascience #engineering #dataapps #python #streamlit
  5. Hasan Ali Gültekin @[email protected] ·

    The Streamlit Rerun Problem: How on_change Causes Multi-User Data Loss (Python Solution)
    In multi-user Streamlit apps, on_change can trigger reruns that reset state and wipe unsaved edits.
    This post explains why it happens and shows a safe Python pattern to track changes, preserve drafts, and save reliably.

    🔗 (add link)

    #Streamlit #Python #DataApps #Engineering #DataScience
    @chartrdaily @pythonclcoding
    @theartificialintelligence
    @programming
    @Mastodon

    #streamlit #python #dataapps #engineering #datascience
  6. KNIME @[email protected] ·

    An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. bit.ly/3OHKzM7

    #KNIME #LLM #AI #dataapps

    #knime #llm #ai #dataapps
  7. KNIME @[email protected] ·

    An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. bit.ly/3OHKzM7

    #KNIME #LLM #AI #dataapps

    #knime #llm #ai #dataapps
  8. KNIME @[email protected] ·

    An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. bit.ly/3OHKzM7

    #KNIME #LLM #AI #dataapps

    #knime #llm #ai #dataapps
  9. KNIME @[email protected] ·

    An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. bit.ly/3OHKzM7

    #KNIME #LLM #AI #dataapps

    #dataapps #ai #llm #knime
  10. KNIME @[email protected] ·

    An AI-powered data app with a customized LLM can lead to numerous gains, including deeper accuracy of output, streamlined operations, and better customer experiences. Head to our blog and learn how you can craft trailed AI-powered data apps using KNIME. bit.ly/3OHKzM7

    #KNIME #LLM #AI #dataapps

    #knime #llm #ai #dataapps
  11. Paolo Tamagnini @[email protected] ·

    ⬆️🧵#KNIME Business Hub thread 🧵⬇️

    Step 4: #Share Deployment to users 👤🔗👥

    For two #deployment types:

    - share #DataApps 📈 📊 📉for their Data Apps Portal

    - share #Services 💻 ↗ ☁ for #APIendpoint to work with their Application Passwords

    forum.knime.com/t/knime-busine

    #knime #share #deployment #dataapps #services #apiendpoint
  12. Paolo Tamagnini @[email protected] ·

    ⬆️🧵 #AI #Learnathons🧵⬇️

    3) 🗼 Berlin, December 14th at the @KNIME Berlin office with Armin Rudd

    meetup.com/berlin-knime-users/

    #lowcodenocode #datascience #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps #KNIME

    #ai #learnathons #lowcodenocode #datascience #machinelearning #vectorstore
  13. Paolo Tamagnini @[email protected] ·

    ⬆️🧵 #AI #Learnathons🧵⬇️

    2) 🏰 Nottingham, November 30th at Nottingham Trent Univeristy with Daphiny Pottmaier and Girinath G. Pillai

    meetup.com/knime-user-group-uk

    #lowcodenocode #datascience #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps

    #ai #learnathons #lowcodenocode #datascience #machinelearning #vectorstore
  14. Paolo Tamagnini @[email protected] ·

    ⬆️🧵 #AI #Learnathons🧵⬇️

    1) ⚓ Hamburg, November 23rd at
    @Kuehne_Nagel

    with Alessandro Romano

    meetup.com/hamburg-knime-meetu

    #lowcodenocode #datascience #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps

    #ai #learnathons #lowcodenocode #datascience #machinelearning #vectorstore
  15. Paolo Tamagnini @[email protected] ·

    📣 #KNIME #AI Learnathons are here!

    knime.com/events?type=888

    ⬇️🧵⬇️

    #lowcodenocode #visualprogramming #datascience #LargeLanguageModel #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps

    #knime #ai #lowcodenocode #visualprogramming #datascience #largelanguagemodel
  16. Paolo Tamagnini @[email protected] ·

    A new #KNIME thread ⬇️ 🧵 ⬇️ !

    Coming up: #KNIMEBusinessHub (knime.com/knime-business-hub)

    the enterprise cloud ☁ for deploying your #lowcodenocode workflows 🚀 !

    #Productionization of workflows to achieve #APIs / #Service, #DataApps, #Schedules, #Triggers in steps 🖱 !

    Stay tuned 📡 !

    #knime #knimebusinesshub #lowcodenocode #productionization #apis #service
  17. Taras Novak 🇺🇦 @[email protected] ·

    One of the main reasons to try our #DuckDBPro 🛠️ in #VSCode IDE are the 30+ custom #DuckDB view & metadata shortcut commands you can invoke from the standard VS Code Commands Palette while exploring those embedded DB files in your #dataApps for your next EDA #dataProject ...

    📰 github.com/RandomFractals/pro-

    #ProDataTools 🧙‍♂️ ...

    #prodatatools #dataproject #duckdb #duckdbpro #vscode #dataapps
  18. Taras Novak 🇺🇦 @[email protected] ·

    One of the main reasons to try our #DuckDBPro 🛠️ in #VSCode IDE are the 30+ custom #DuckDB view & metadata shortcut commands you can invoke from the standard VS Code Commands Palette while exploring those embedded DB files in your #dataApps for your next EDA #dataProject ...

    📰 github.com/RandomFractals/pro-

    #ProDataTools 🧙‍♂️ ...

    #vscode #prodatatools #dataproject #duckdb #duckdbpro #dataapps
  19. Taras Novak 🇺🇦 @[email protected] ·

    One of the main reasons to try our #DuckDBPro 🛠️ in #VSCode IDE are the 30+ custom #DuckDB view & metadata shortcut commands you can invoke from the standard VS Code Commands Palette while exploring those embedded DB files in your #dataApps for your next EDA #dataProject ...

    📰 github.com/RandomFractals/pro-

    #ProDataTools 🧙‍♂️ ...

    #dataapps #vscode #prodatatools #dataproject #duckdb #duckdbpro
  20. Taras Novak 🇺🇦 @[email protected] ·

    One of the main reasons to try our #DuckDBPro 🛠️ in #VSCode IDE are the 30+ custom #DuckDB view & metadata shortcut commands you can invoke from the standard VS Code Commands Palette while exploring those embedded DB files in your #dataApps for your next EDA #dataProject ...

    📰 github.com/RandomFractals/pro-

    #ProDataTools 🧙‍♂️ ...

    #dataapps #vscode #duckdbpro #duckdb #dataproject #prodatatools
  21. Taras Novak 🇺🇦 @[email protected] ·

    One of the main reasons to try our #DuckDBPro 🛠️ in #VSCode IDE are the 30+ custom #DuckDB view & metadata shortcut commands you can invoke from the standard VS Code Commands Palette while exploring those embedded DB files in your #dataApps for your next EDA #dataProject ...

    📰 github.com/RandomFractals/pro-

    #ProDataTools 🧙‍♂️ ...

    #dataapps #vscode #prodatatools #dataproject #duckdb #duckdbpro
  22. Paolo Tamagnini @[email protected] ·

    What are #DataApps?

    A data app is a web app where data tasks can be performed: any use case usually performed by a #DataEngineer, #DataScientist or #DataAnalyst could be theoretically executed via data apps.

    knime.com/data-apps

    ⬇️🧵#KNIME Examples (Built via #NoCode)🧵⬇️

    #dataapps #dataengineer #datascientist #dataanalyst #knime #nocode
  23. Paolo Tamagnini @[email protected] ·

    What are #DataApps?

    A data app is a web app where data tasks can be performed: any use case usually performed by a #DataEngineer, #DataScientist or #DataAnalyst could be theoretically executed via data apps.

    knime.com/data-apps

    ⬇️🧵#KNIME Examples (Built via #NoCode)🧵⬇️

    #dataapps #dataengineer #datascientist #dataanalyst #knime #nocode
  24. Paolo Tamagnini @[email protected] ·

    What are #DataApps?

    A data app is a web app where data tasks can be performed: any use case usually performed by a #DataEngineer, #DataScientist or #DataAnalyst could be theoretically executed via data apps.

    knime.com/data-apps

    ⬇️🧵#KNIME Examples (Built via #NoCode)🧵⬇️

    #dataapps #dataengineer #datascientist #dataanalyst #knime #nocode
  25. Paolo Tamagnini @[email protected] ·

    What are #DataApps?

    A data app is a web app where data tasks can be performed: any use case usually performed by a #DataEngineer, #DataScientist or #DataAnalyst could be theoretically executed via data apps.

    knime.com/data-apps

    ⬇️🧵#KNIME Examples (Built via #NoCode)🧵⬇️

    #nocode #knime #dataanalyst #datascientist #dataengineer #dataapps
  26. Paolo Tamagnini @[email protected] ·

    What are #DataApps?

    A data app is a web app where data tasks can be performed: any use case usually performed by a #DataEngineer, #DataScientist or #DataAnalyst could be theoretically executed via data apps.

    knime.com/data-apps

    ⬇️🧵#KNIME Examples (Built via #NoCode)🧵⬇️

    #dataapps #dataengineer #datascientist #dataanalyst #knime #nocode
  27. Taras Novak 🇺🇦 @[email protected] ·

    Just 20 ✨ shy of hitting that 1K 🌟s on github. Help us get there this year! Peruse at will here:
    github.com/RandomFractals
    #dataViz 📊📈 / #dataApps 📰 #dataNotebooks 📓 #dataTools 🛠️🔬 ...

    #datatools #datanotebooks #dataapps #dataviz
  28. Taras Novak 🇺🇦 @[email protected] ·

    Just 20 ✨ shy of hitting that 1K 🌟s on github. Help us get there this year! Peruse at will here:
    github.com/RandomFractals
    #dataViz 📊📈 / #dataApps 📰 #dataNotebooks 📓 #dataTools 🛠️🔬 ...

    #datatools #datanotebooks #dataapps #dataviz
  29. Taras Novak 🇺🇦 @[email protected] ·

    Just 20 ✨ shy of hitting that 1K 🌟s on github. Help us get there this year! Peruse at will here:
    github.com/RandomFractals
    #dataViz 📊📈 / #dataApps 📰 #dataNotebooks 📓 #dataTools 🛠️🔬 ...

    #datatools #datanotebooks #dataapps #dataviz
  30. Taras Novak 🇺🇦 @[email protected] ·

    Just 20 ✨ shy of hitting that 1K 🌟s on github. Help us get there this year! Peruse at will here:
    github.com/RandomFractals
    #dataViz 📊📈 / #dataApps 📰 #dataNotebooks 📓 #dataTools 🛠️🔬 ...

    #datatools #datanotebooks #dataapps #dataviz
  31. Taras Novak 🇺🇦 @[email protected] ·

    📢 New 2022 #ChicagoCrimes #MalloyData #Fiddle app you can run in a browser to learn Malloy model and query semantics, nesting, and simple charting 📊📈 options:

    📰 randomfractals.github.io/chica

    📓 github.com/RandomFractals/chic

    🧐 github.com/RandomFractals/chic

    #DAX #dataApps #dataTools 🔬 ...

    #datatools #dataapps #dax #fiddle #malloydata #chicagocrimes
  32. Taras Novak 🇺🇦 @[email protected] ·

    📢 New 2022 #ChicagoCrimes #MalloyData #Fiddle app you can run in a browser to learn Malloy model and query semantics, nesting, and simple charting 📊📈 options:

    📰 randomfractals.github.io/chica

    📓 github.com/RandomFractals/chic

    🧐 github.com/RandomFractals/chic

    #DAX #dataApps #dataTools 🔬 ...

    #datatools #dataapps #dax #fiddle #malloydata #chicagocrimes
  33. Taras Novak 🇺🇦 @[email protected] ·

    📢 New 2022 #ChicagoCrimes #MalloyData #Fiddle app you can run in a browser to learn Malloy model and query semantics, nesting, and simple charting 📊📈 options:

    📰 randomfractals.github.io/chica

    📓 github.com/RandomFractals/chic

    🧐 github.com/RandomFractals/chic

    #DAX #dataApps #dataTools 🔬 ...

    #datatools #dataapps #dax #fiddle #malloydata #chicagocrimes
  34. Taras Novak 🇺🇦 @[email protected] ·

    📢 New 2022 #ChicagoCrimes #MalloyData #Fiddle app you can run in a browser to learn Malloy model and query semantics, nesting, and simple charting 📊📈 options:

    📰 randomfractals.github.io/chica

    📓 github.com/RandomFractals/chic

    🧐 github.com/RandomFractals/chic

    #DAX #dataApps #dataTools 🔬 ...

    #datatools #dataapps #dax #fiddle #malloydata #chicagocrimes
  35. ♡ mariana meireles ♡ @[email protected] ·

    so cool! :)
    ---
    RT @TarasNovak
    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair charting lib:
    github.com/RandomFractals/chic
    #dataApps ...
    twitter.com/TarasNovak/status/

    #pyscript #chicagocrimes #pandas #altair #dataapps
  36. ♡ mariana meireles ♡ @[email protected] ·

    so cool! :)
    ---
    RT @TarasNovak
    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair charting lib:
    github.com/RandomFractals/chic
    #dataApps ...
    twitter.com/TarasNovak/status/

    #pyscript #chicagocrimes #pandas #altair #dataapps
  37. ♡ mariana meireles ♡ @[email protected] ·

    so cool! :)
    ---
    RT @TarasNovak
    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair charting lib:
    github.com/RandomFractals/chic
    #dataApps ...
    twitter.com/TarasNovak/status/

    #pyscript #chicagocrimes #pandas #altair #dataapps
  38. ♡ mariana meireles ♡ @[email protected] ·

    so cool! :)
    ---
    RT @TarasNovak
    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair charting lib:
    github.com/RandomFractals/chic
    #dataApps ...
    twitter.com/TarasNovak/status/

    #dataapps #altair #pandas #chicagocrimes #pyscript
  39. ♡ mariana meireles ♡ @[email protected] ·

    so cool! :)
    ---
    RT @TarasNovak
    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair charting lib:
    github.com/RandomFractals/chic
    #dataApps ...
    twitter.com/TarasNovak/status/

    #pyscript #chicagocrimes #pandas #altair #dataapps
  40. Taras Novak 🇺🇦 @[email protected] ·

    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair 📉📊 charting lib:

    🧐 github.com/RandomFractals/chic

    #dataApps ...

    #dataapps #altair #pandas #chicagocrimes #pyscript
  41. Taras Novak 🇺🇦 @[email protected] ·

    Created a web page with #PyScript loading 2022 #ChicagoCrimes CSV data with #pandas and visualizing that data with #Altair 📉📊 charting lib:

    🧐 github.com/RandomFractals/chic

    #dataApps ...

    #dataapps #altair #pandas #chicagocrimes #pyscript