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streamlit\_app · Streamlit

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## About

Streamlit is a Python library that allows the creation of interactive, data-driven web applications in Python.

## Resources

- Streamlit Documentation
- Cheat sheet
- Book (Getting Started with Streamlit for Data Science)
- Blog (How to master Streamlit for data science)

## Deploy

You can quickly deploy Streamlit apps using Streamlit Community Cloud in just a few clicks.

# 30 Days of Streamlit

Start the Challenge 👇

Day 1

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- About the #30DaysOfStreamlit

# 🗓️ Day 1

# Setting up a local development environment

Before we can actually start building Streamlit apps, we will first have to setup a development environment.

Let's start by installing and setting up a conda environment.

## **Install conda**

- Install `conda` by going to https://docs.conda.io/en/latest/miniconda.html and choose your operating system (Windows, Mac or Linux).
- Download and run the installer to install `conda`.

## **Create a new conda environment**

Now that you have conda installed, let's create a conda environment for managing all the Python library dependencies.

To create a new environment with Python 3.9, enter the following:

`conda create -n stenv python=3.9`

where `create -n stenv` will create a conda environment named `stenv` and `python=3.9` will setup the conda environment with Python version 3.9.

## **Activate the conda environment**

To use a conda environment that we had just created that is named `stenv`, enter the following into the command line:

`conda activate stenv`

## **Install the Streamlit library**

It's now time to install the `streamlit` library:

`pip install streamlit`

## **Launching the Streamlit demo app**

To launch the Streamlit demo app (Figure 1) type:

`streamlit hello`

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### Figures

Figure 1: Streamlit demo app is launched via "streamlit hello"

Made with Streamlit

Language:**en**