https://github.com/metriccoders/streamlit-crash-course

This is a streamlit crash course by Metric Coders to get started in AI SaaS
https://github.com/metriccoders/streamlit-crash-course

Last synced: 7 days ago
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This is a streamlit crash course by Metric Coders to get started in AI SaaS

• Host: GitHub
• URL: https://github.com/metriccoders/streamlit-crash-course
• Owner: metriccoders
• Created: 2024-06-12T20:37:23.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2024-06-12T20:49:15.000Z (7 months ago)
• Last Synced: 2024-12-06T16:15:12.303Z (22 days ago)
• Language: Python
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Streamlit Crash Course by Metric Coders

Welcome to the Streamlit Crash Course by Metric Coders! This repository contains all the materials and code examples for getting started with Streamlit. Streamlit is an open-source Python library that makes it easy to create and share custom web apps for machine learning and data science projects.

## Deployed App

You can view the deployed app [here](https://metriccoderscrashcourse.streamlit.app).

## Introduction

Streamlit allows you to build interactive web applications straight from your Python code. Whether you are working on a data science project or deploying a machine learning model, Streamlit makes it straightforward to create beautiful, interactive apps.

## Installation

To install Streamlit, you can use pip:

```bash

pip install streamlit