HomeCoursesBuilding the Frontend of Python Web Applications with Streamlit

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Beginner

3h 25min

Updated 2 months ago

Building the Frontend of Python Web Applications with Streamlit

Build robust front-end Python web applications with Streamlit. Explore integrating Python libraries, creating visualizations, interactive widgets, and deploying on Streamlit cloud.

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Overview

Content

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Python is the premier programming language for data science and machine learning, but its native strengths for back-end development can leave developers scrambling for a front-end solution. Enter Streamlit, a robust open-source library for developing front-end applications with Python. This course is a comprehensive introduction to building Streamlit applications integrated with different Python libraries. You’ll be walked through successive projects to create visualizations, display interactive widgets, and customize layouts. You won’t just display data but work on data transformations using Streamlit interfaces and become familiar with basic functionality for native Python applications like caching and placeholders. You’ll wrap up with deploying your application using the Streamlit cloud. By the end of this course, you’ll be ready to give your Python-based data science and machine learning applications robust user interfaces using Streamlit.

Python is the premier programming language for data science and machine learning, but its native strengths for back-end developm...Show More

WHAT YOU'LL LEARN

A working knowledge of the training and testing methods for machine learning models in Python

A strong foundation in developing user interfaces (UI) using the Streamlit framework

An understanding of translating various data science libraries, including Scikit-learn, into a front-end UI

A deep familiarity with various web scraping techniques to gather various data and present it in a native web application

Hands-on experience using AssemblyAI, Streamlit, and Heroku to develop, skin, and deploy complete web applications

A working knowledge of the training and testing methods for machine learning models in Python

Content

31 Lessons1 Quiz

Introduction

1 Lessons

Get familiar with building user-friendly, responsive web apps using Streamlit for data science.

Streamlit Overview

Build a UI for a Model Using Streamlit

6 Lessons

Walk through building an interactive Streamlit UI for predicting outcomes using logistic regression models.

Prerequisites and Required Libraries

Build a Logistic Regression Model

Build the DataFrame and Model Performance UI with Streamlit

Build User Input UI with Streamlit

Exercise 1: Build UI for Candy Bar Prediction

Solution: Build UI for Candy Bar Prediction

Sentiment Analysis Using Multinomial Logistic Regression

Project

Build a Classification Web App using Streamlit and Sklearn

5 Lessons

Master the steps to build a classification web app with Streamlit and Scikit-learn.

Prerequisites and Required Libraries

Classification using SVM, KNN, RandomForestClassifier, and PCA

Building UI using Streamlit

Exercise 2: Plot Evaluation Metrics using Streamlit

Solution: Plot Evaluation Metrics using Streamlit

Build a Streamlit App to Scrape Github Profiles

3 Lessons

Grasp the fundamentals of building a Streamlit app to scrape detailed GitHub profiles.

Prerequisites and Required Libraries

Web Scraping using Beautiful Soup

Streamlit Scraping Application

Build a Web App to Transcribe Audio using Python and AssemblyAI

3 Lessons

Map out the steps for creating an audio transcription app with Streamlit and AssemblyAI.

Prerequisites and Required Libraries

Transcribing a Local Audio File using AssemblyAI

Building the Streamlit UI

Build a Web App to Generate and Display a Word Cloud of Trending

6 Lessons

Follow the process of generating dynamic word clouds using Streamlit, Beautiful Soup, and custom user inputs.

Prerequisites and Required Libraries

Acquiring the Data

Creating Word Clouds

Streamlit App for Word Clouds

Exercise 3: Change the Word Cloud's Properties using Streamlit

Solution: Change the Word Cloud's Properties using Streamlit

Build a Web App to Download YouTube Videos in 30 Lines of Code

3 Lessons

Master the steps to build a YouTube downloader app with Streamlit and pytube.

Prerequisites and Required Libraries

Data Collection and Understanding the Stream Object

Streamlit Videos Downloading Application

Deploy Streamlit Apps

2 Lessons

Learn how to use Streamlit Sharing and Heroku for deploying Streamlit apps.

Deployment using Streamlit Sharing

Deployment using Heroku

Wrapping Up

2 Lessons

Look at concluding your understanding of Streamlit UI components and web app deployment.

Quiz on Streamlit UI Components

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Rahul Banerjee

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