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Ideal for daily reference as you explore containerization, DevOps, and deployment workflows.\n\nThis guide is organized into several sections, each covering a specific aspect of Docker.\n\n---\n\n## 📚 Table of Contents\n\n*   **[1. Setup and Configuration](./docs/01-setup.md)**\n    *   Setting up WSL and Docker on your machine.\n*   **[2. Basic Docker Commands](./docs/02-basic-commands.md)**\n    *   Essential commands for managing images, containers, and system resources.\n*   **[3. Writing Dockerfiles](./docs/03-dockerfiles.md)**\n    *   Best practices and examples for creating your own Docker images.\n*   **[4. Using Docker Compose](./docs/04-docker-compose.md)**\n    *   Managing multi-container applications with Docker Compose.\n*   **[5. Docker Networking](./docs/05-networking.md)**\n    *   Understanding and managing Docker networks.\n*   **[6. Managing Data with Volumes](./docs/06-volumes.md)**\n    *   Persisting data using Docker volumes.\n*   **[7. Docker Registries](./docs/07-registries.md)**\n    *   Working with Docker Hub and other container registries.\n*   **[8. Practical Use Cases](./docs/08-use-cases.md)**\n    *   Examples of running services like MySQL, Jenkins, and web applications in Docker.\n*   **[9. Container Orchestration](./docs/09-orchestration.md)**\n    *   Introduction to Docker Swarm and Kubernetes.\n*   **[10. Miscellaneous Topics](./docs/10-miscellaneous.md)**\n    *   Other useful commands and concepts (Git, YAML, etc.).\n\n---\n\n\u003e **Author**: Padma\n\u003e **Learning Path**: From Analyst to AI-driven DevOps/Data Science 🚀\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeypadma2020%2Fdocker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeypadma2020%2Fdocker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeypadma2020%2Fdocker/lists"}