Rezultati pretraživanja
  1. 15. sij

    How does it look when you solve the traveling salesman problem to optimality using mixed-integer programming and iteratively eliminating sub tours? Like this! :-) Made with and

  2. 15. pro 2019.

    I’ve been experimenting with in the ecosystem. It’s not as simple as the ecosystem, but is nonetheless a vibrant evolving landscape. Here are my thoughts, with a focus on , the latest thing I tried: .

  3. 19. stu 2019.

    If you're like me and use Twitters like function to save blog posts/tweets to read for later and need a way to filter/search through them to find the relevant ones, check out this tool I made with Streamlit

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  4. 3. velj

    12-Hour Challenge: Build & deploy an app with and tools via

  5. 3. velj
  6. 31. sij

    Did you know is one of the fastest ways to build custom apps

  7. 31. sij
    Odgovor korisniku/ci

    Thanks guys, couldn’t await the feature!

  8. 29. sij

    Data Science for marketing with a huge dataset built with Streamlit

  9. 17. sij

    Streamlit now improved their support for via pydeck. Based on this I've added a Global Power Plant Dabase App to the gallery at . Lets create a world that runs on green energy?

  10. 9. sij

    Are you interested in Financial Data and Analytics? Then take a look at the powerfull yahooquery python package at . And explore it interactively in the gallery at . .

  11. 6. sij

    Now, we are going to create a simple app using multiple widgets at once. Read the full article: How to write Web apps using simple Python for Data Scientists? ▸

  12. 1. sij
  13. 13. pro 2019.
  14. If you are interested to contribute, please fork at my repo. Next objective is to build the training model to detect the anomalies and more. (4/4)

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  15. 18. stu 2019.

    Playing MW!! Might play campaign later! Come and Chill for a while .

  16. 1. stu 2019.

    is just the , and most available for these days. I am extremely to be part of the and looking forward to further functionality.

  17. 29. lis 2019.

    If you're using (Python library that makes it easy to build beautiful apps for ), you might be interested in my streamlit-docker image. Check it out:

  18. 26. lis 2019.

    If you would like to know how to develop your (machine learning) Streamlit app effectively using VS Code you can use the small guide I've created at

  19. 25. lis 2019.

    The roster turnover app is now included in the awesome-streamlit library. Of course, the list is built with 😎

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