Developing and Deploying Applications with Streamlit
Developing and Deploying Applications with Streamlit, available at $59.99, has an average rating of 3.9, with 44 lectures, 4 quizzes, based on 58 reviews, and has 17671 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone who is interested Python and Machine Learning or If you want to have a free portfolio page It is particularly useful for Anyone who is interested Python and Machine Learning or If you want to have a free portfolio page.
Enroll now: Developing and Deploying Applications with Streamlit
Summary
Title: Developing and Deploying Applications with Streamlit
Price: $59.99
Average Rating: 3.9
Number of Lectures: 44
Number of Quizzes: 4
Number of Published Lectures: 44
Number of Published Quizzes: 4
Number of Curriculum Items: 48
Number of Published Curriculum Objects: 48
Original Price: $19.99
Quality Status: approved
Status: Live
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
Who Should Attend
- Anyone who is interested Python and Machine Learning
- If you want to have a free portfolio page
Target Audiences
- Anyone who is interested Python and Machine Learning
- If you want to have a free portfolio page
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!
In this course we will cover everything you need to know concerning streamlit such as
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Installing Anaconda and create a virtual env
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Installing Streamlit , pytube, firebase
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Setting up GitHub account if you already don’t have one
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Display Information with Streamlit
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Widgets with Streamlit
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Working with data frames ( Loading , Displaying )
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Creating a image filter ( we use popular Instagram filters)
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Creating a YouTube video downloader (using pytube api)
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pytube is a lightweight, dependency-free Python library which is used for downloading videos from the web
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Creating Interactive plots
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User selected input value for chart
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Animated Plot
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Introduction to Multipage Apps
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Structuring multipage apps
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Run a multipage app
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Adding pages
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Adding Authentication to your Streamlit app using Streamlit-Authenticator
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Authentication via Pickle File
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Authentication via Database
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Build a Word Cloud App
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Build a OCR – Image to text conversion with tesseract
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Build a World Cloud App
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ChatGPT + Streamlit
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Build a auto review response generator with chatGPT and Open AI
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Build a Leetcode problem solver with chatGPT and Open AI
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Content in progress to be uploaded soon
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Creating a personal portfolio page with streamlit
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Deploy Application with Streamlit Cloud
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Concept of Sessions
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NTLK with streamlit
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Working with SQLite
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Connecting to database
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Reading data from database
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Writing Data into database
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Additional Apps
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Static Code quality analyzer
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No SQL Job Board with Firebase API
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Converting random forest model into streamlit application
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Course Curriculum
Chapter 1: Introduction
Lecture 1: Setting up Anaconda and GitHub
Lecture 2: Creative a virtual env in anaconda
Lecture 3: Test Streamlit is working
Chapter 2: Streamlit Library
Lecture 1: Display text information with streamlit
Lecture 2: Display Data with streamlit
Lecture 3: Display charts with streamlit
Lecture 4: Display media and code with streamlit
Lecture 5: Display chart using external libraries with streamlit
Chapter 3: Interactive widgets with streamlit
Lecture 1: Buttons
Lecture 2: Check Boxes
Lecture 3: Single Item selection
Lecture 4: Multi Item Selection
Lecture 5: Input widgets – Single and multi line text
Lecture 6: Input Widgets- number input
Lecture 7: Uploading file
Lecture 8: Download file
Chapter 4: Streamlit Layout
Lecture 1: Side Bar, Forms, Columns and Expander
Chapter 5: Mutate Data
Lecture 1: Mutate Tabular and Chart Data
Chapter 6: Instagram Filter
Lecture 1: Instagram filters application demo
Lecture 2: Coding Input Layout and accepting image from user
Lecture 3: Converting Input image to Sketch
Lecture 4: Adding Instagram Filters Brannan and Mayfair
Lecture 5: Add Image Download Link
Chapter 7: Build a YouTube Video downloader with pytube Api
Lecture 1: Demo of YouTube Video Downloader we will be building
Lecture 2: Coding and testing a YouTube Video downloader
Chapter 8: Animate your charts with streamlit
Lecture 1: GDP per capita chart animation
Chapter 9: Open API chatGPT with Streamlit
Lecture 1: Creating ChatGPT Account Creation
Lecture 2: ChatGPT Example Search Queries
Lecture 3: Creating Virtual env for chatgpt
Lecture 4: Building auto reponse generator any customer review
Lecture 5: ChatGPT Leetcode solutions Idea
Lecture 6: ChatGPT Leetcode problem solver integration with Streamlit
Lecture 7: ChatGPT Leetcode problem solver integration with Streamlit with language select
Chapter 10: Multipage Streamlit Apps
Lecture 1: Converting GDP per capita into 3 pages basic_data , basic_plot and animated_plot
Chapter 11: Adding Authentication to your Streamlit app using Streamlit-Authenticator
Lecture 1: Adding Authentication to Pytube app using Streamlit-Authenticator (pickle File)
Chapter 12: Build a Word Cloud App
Lecture 1: Demo of Word Cloud App
Lecture 2: Installing Libraries for Word Cloud App
Lecture 3: Let's Build the word Cloud App
Chapter 13: Image to text Conversion App – OCR
Lecture 1: Demo of OCR App we are building
Lecture 2: Installing tesseract library
Lecture 3: Coding the OCR App
Chapter 14: Digital portfolio
Lecture 1: Digital Portfolio using Streamlit Demo
Chapter 15: When you should use Streamlit?
Lecture 1: Flash or Dash or Streamlit ?
Chapter 16: Bonus Lecture
Lecture 1: Bonus Lecture
Instructors
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Avinash A
Software Engineer & Educator
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 3 votes
- 3 stars: 3 votes
- 4 stars: 15 votes
- 5 stars: 32 votes
Frequently Asked Questions
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