From 8a98ceab8cc969f51fd162db4fb8bb81e2290185 Mon Sep 17 00:00:00 2001
From: Kenneth Jao <ksjao2@illinois.edu>
Date: Mon, 17 Jun 2024 19:18:53 -0500
Subject: [PATCH] README to RST format

---
 README.rst | 28 ++++++++++++++++------------
 1 file changed, 16 insertions(+), 12 deletions(-)

diff --git a/README.rst b/README.rst
index eb90c2a..6bdeed2 100644
--- a/README.rst
+++ b/README.rst
@@ -1,33 +1,36 @@
-# Docker 101
-
-## Description
-
+==========
+Docker 101
+==========
 This repository documents my understanding of Docker and my attempt to build a Docker image for DGTD (Discontinuous Galerkin Time Domain) code. Docker allows us to package applications and their dependencies into isolated containers, ensuring consistency across different environments.
 
 The documentation is up `here <https://acem.ece.illinois.edu/docs/Docker>`__.
 
-## Building the Docker Image
+Building the Docker Image
+-------------------------
 
 To build the Docker image for DGTD code, follow these steps:
 
-### Command Line Interface (CLI)
+Command Line Interface (CLI)
+----------------------------
 
 Use the following CLI commands to build the Docker image:
 
-```bash
-docker build -t sample-image .
-```
+.. code-block:: sh
+
+        docker build -t sample-image .
 
 Replace `sample-image` with your preferred image name.
 
-### Platform Compatibility
+Platform Compatibility
+----------------------
 
 The Docker image can be built on both UNIX and Windows platforms. Here’s how I set it up:
 
 - **UNIX:** Use Docker Engine.
 - **Windows:** Install Docker Desktop.
 
-## Testing the Docker Image
+Testing the Docker Image
+------------------------
 
 After building the Docker image, test its functionality on both UNIX and Windows environments:
 
@@ -36,7 +39,8 @@ After building the Docker image, test its functionality on both UNIX and Windows
 
 The image should maintain consistency and reproducibility across platforms, demonstrating Docker's versatility in managing application dependencies.
 
-## Usage
+Usage
+-----
 
 This repository serves as a guide for packaging DGTD code and other applications in Docker containers in the future. Adjust Dockerfile configurations and testing procedures as necessary for specific application requirements.