One Credit ‐ Day 2

Day2 - Docker with ML

1. CLI Commands:

   1. docker inspect <image>:

   

   2. docker save -o <tar name> <image> and docker load --input <tar name>:

   

   3. docker exec -it <container_id> /bin/bash:

   

   4. docker rename <old container name> <new container name>:

   

   5. docker history <image>:

   

   6. docker system prune:

   

2. Docker Compose:

   1. docker compose version:

   

   2. docker compose up:

   

   

   

   3. docker compose up -d:

   

   4. docker compose stop:

   

3. Docker with ML:

   1. app.py:

   

   2. Dockerfile:

   

   3. docker build -t <tag name> .:

   

   4. Output:

   

   5. docker push <image>: