Update README, Dockerfile, requirements, and add docker-compose for Jupyter Notebook setup

README.md

@@ -1,5 +1,73 @@
-# Jupyter-my-own-image
+# Jupyter Notebook Docker Setup
 
-This is my custom image of python jupyter. 
+This repository contains Docker configuration for running Jupyter Notebook with various data science libraries pre-installed.
 
-This repo was created to run jupyter in docker on raspberry pi (arm)
+## Features
+
+- Based on Ubuntu Focal (20.04)
+- Includes Jupyter Notebook with:
+  - Pandas
+  - OpenCV
+  - Scikit-learn
+  - Scikit-image
+  - PyTorch
+  - Imutils
+  - Notebook export capabilities (nbconvert)
+- Volume mounted for persistent notebook storage
+- Two deployment profiles (build locally or pull from registry)
+
+## Directory Structure
+
+```
+.
+├── Dockerfile          # Docker image definition
+├── docker-compose.yml  # Services configuration
+├── requirements.txt    # Python package dependencies
+└── notebooks/          # Directory for your Jupyter notebooks (will be created)
+```
+
+## Usage
+
+### Create notebooks directory
+
+```bash
+mkdir -p notebooks
+```
+
+### Profile 1: Build locally
+
+To build the Docker image locally and run the container:
+
+```bash
+docker-compose --profile build up
+```
+
+### Profile 2: Pull from your registry
+
+To pull the image from your private registry and run it:
+
+```bash
+REGISTRY_URL=your-registry-url docker-compose --profile registry up
+```
+
+Replace `your-registry-url` with your actual Docker registry URL.
+
+## Accessing Jupyter Notebook
+
+Once the container is running, access Jupyter Notebook by opening a browser and navigating to:
+
+```
+http://localhost:8888
+```
+
+No password is required (for simplicity - you may want to add authentication for production use).
+
+## Customization
+
+- To add more Python packages, modify the `pip3 install` command in the Dockerfile
+- To change the Jupyter configuration, modify the command in docker-compose.yml
+
+## Notes
+
+- The notebooks directory is mounted as a volume to persist your work
+- For security in production environments, consider adding authentication to your Jupyter instance