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Developing and Deploying Applications with Streamlit


Streamlit is an open-source app framework for Machine Studying and Information Science groups.

Streamlit allows you to flip knowledge scripts into shareable internet apps in minutes. It’s all Python, open-source, and free! And when you’ve created an app you should use our cloud platform to deploy, handle, and share your app!

On this course we are going to cowl every little thing it is advisable know regarding streamlit resembling

  1. Putting in Anaconda and create a digital env

  2. Putting in Streamlit , pytube, firebase

  3. Organising GitHub account in the event you already haven’t got one

  4. Show Info with Streamlit

  5. Widgets with Streamlit 

  6. Working with knowledge frames ( Loading , Displaying )

  7. Making a picture filter ( we use fashionable Instagram filters)

  8. Making a YouTube video downloader (utilizing pytube api)

    1. pytube is a light-weight, dependency-free Python library which is used for downloading movies from the online

  9. Creating Interactive plots

    1. Person chosen enter worth for chart

    2. Animated Plot

  10. Introduction to Multipage Apps

    1. Structuring multipage apps

    2. Run a multipage app

    3. Including pages

  11. Content material in progress to be uploaded quickly

    1. Idea of Classes

    2. NTLK with streamlit

    3. Creating  a private portfolio web page with streamlit

    4. Deploy Utility with Streamlit  Cloud

    5. Working with SQLite

      1. Connecting to database

      2. Studying knowledge from database

      3. Writing Information  into database

    6. Extra Apps

      1. Static Code high quality analyzer

      2. No SQL Job Board with Firebase  API

      3. Changing random forest mannequin into streamlit software

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