Gain insights into building 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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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.

Building the Frontend of Python Web Applications with Streamlit

# Select a stream object to download
The YouTube object has an attribute called `streams`. This is a `StreamQuery` object. It has the following methods to get a stream object:


- **`filter(res , progressive, only_audio, only_video)`**: This method returns the list of streams based on the value of the parameters passed. The `res` parameter is a string while the others are booleans. Setting `progressive` to `True` will only return the progressive streams. Setting `only_audio` to `True` will return the streams with only audio components and similarly setting `only_video` to `True` will only return the video components which do not have an audio component. This method returns a `StreamQuery` object.

- **`first()`**: It returns the first stream object in the `StreamQuery` object.

- **`last()`**: It returns the last stream object in the `StreamQuery` object.

- **`get_highest_resolution()`**: It returns a progressive stream object with the highest resolution.

- **`get_lowest_resolution()`**: It returns a progressive stream object with the lowest resolution.

- **`get_by_itag(itag)`**: If we want a specific stream object, we can pass it’s `itag`.




Learn how to choose a stream object to download videos.

Streamlit Videos Downloading Application

Introduction

Build a UI for a Model Using Streamlit

Build a Classification Web App using Streamlit and Sklearn

Build a Streamlit App to Scrape Github Profiles

Build a Web App to Transcribe Audio using Python and AssemblyAI

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

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

Deploy Streamlit Apps

Wrapping Up

Streamlit Videos Downloading Application

Select a stream object to download