Dockerized Data Science Base

A ready-to-use development container for data science projects with pre-configured tools and libraries.

Quick Start

Prerequisites

• Docker installed on your system
• VS Code with the Dev Containers extension

Using the Dev Container

1. Clone the repository:

   git clone https://github.com/MaincodeHQ/dockerized-datascience-base.git
   cd dockerized-datascience-base

2. Open the project in VS Code:

   code .

3. When prompted, click "Reopen in Container" or use the command palette (F1) and select "Dev Containers: Reopen in Container"

4. VS Code will build and start the dev container automatically. This may take a few minutes the first time.

5. Once inside the dev container, start the environment:

   task up

   This command will build and start all required services defined in the docker-compose file.

Sharing Your Project

When you need to share your project with collaborators:

1. From within the dev container, run:

   task zip

2. This will generate a zip file of the entire project that's ready to be emailed or uploaded.

3. Recipients can then:

   • Extract the zip file
   • Open the folder in VS Code with the Dev Containers extension
   • Run task up to recreate the exact same environment

Features

• Ready-to-use data science environment with Python, Jupyter, and common libraries
• Pre-configured VS Code dev container setup
• Task automation for common operations
• Easy sharing with collaborators

License

This project is licensed under the MIT License - see the LICENSE file for details.

---

Maintained by MaincodeHQ