Developing and Deploying Applications with Streamlit

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The fastest way to build and share data apps.

What you will learn

Streamlit and its usefulness.

Streamlit’s features that help up build web , data and machine learning application

Deploying streamlit applications on streamlit cloud

Personal Portfolio page hosted on streamlit cloud

Description

Streamlit is an open-source app framework for Machine Learning and Data Science teams.

Streamlit lets you turn data scripts into shareable web apps in minutes. It’s all Python, open-source, and free! And once you’ve created an app you can use our cloud platform to deploy, manage, and share your app!


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In this course we will cover everything you need to know concerning streamlit such as

  1. Installing Anaconda and create a virtual env
  2. Installing Streamlit , pytube, firebase
  3. Setting up GitHub account if you already don’t have one
  4. Display Information with Streamlit
  5. Widgets with Streamlit
  6. Working with data frames ( Loading , Displaying )
  7. Creating a image filter ( we use popular Instagram filters)
  8. Creating a YouTube video downloader (using pytube api)
    1. pytube is a lightweight, dependency-free Python library which is used for downloading videos from the web
  9. Creating Interactive plots
    1. User selected input value for chart
    2. Animated Plot
  10. Introduction to Multipage Apps
    1. Structuring multipage apps
    2. Run a multipage app
    3. Adding pages
  11. Adding Authentication to yourΒ  Streamlit app using Streamlit-Authenticator
    1. Authentication via Pickle File
    2. Authentication viaΒ  Database
  12. Build a Word Cloud App
  13. Build a OCR – Image to text conversion with tesseract
  14. Build a World Cloud App
  15. ChatGPT + Streamlit
    1. Build a auto review response generator with chatGPT and Open AI
    2. Build a Leetcode problem solver with chatGPT and Open AI
  16. Content in progress to be uploaded soon
    1. CreatingΒ  a personal portfolio page with streamlit
    2. Deploy Application with StreamlitΒ  Cloud
    3. Concept of Sessions
    4. NTLKΒ with streamlit
    5. Working with SQLite
      1. Connecting to database
      2. Reading data from database
      3. Writing DataΒ  into database
    6. Additional Apps
      1. Static Code quality analyzer
      2. No SQLΒ Job Board with FirebaseΒ  API
      3. Converting random forest model into streamlit application
English
language

Content

Introduction

Flash or Dash or Streamlit ?
Setting up Anaconda and GitHub
Creative a virtual env in anaconda
Test Streamlit is working

Streamlit Library

Display text information with streamlit
Display Data with streamlit
Display charts with streamlit
Display media and code with streamlit
Display chart using external libraries with streamlit
Streamlit Functions Quiz

Interactive widgets with streamlit

Buttons
Check Boxes
Single Item selection
Multi Item Selection
Input widgets – Single and multi line text
Input Widgets- number input
Uploading file
Download file
interactive widget quiz

Streamlit Layout

Side Bar, Forms, Columns and Expander
Layout Quiz

Mutate Data

Mutate Tabular and Chart Data
Mutation Quiz

Instagram Filter

Instagram filters application demo
Coding Input Layout and accepting image from user
Converting Input image to Sketch
Adding Instagram Filters Brannan and Mayfair
Add Image Download Link

Build a YouTube Video downloader with pytube Api

Demo of YouTube Video Downloader we will be building
Coding and testing a YouTube Video downloader

Animate your charts with streamlit

GDP per capita chart animation

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