2023-10-18-docker-1.md

DIY Docker part 1

• Goal:Learn Docker and its fundamentals. By the end of the week, you will have the knowledge and skills to create docker images and run containers.
• Dates: from 18th October to 25th October.
• Where: #project-of-the-week in DataTalks.Club (get in slack here: https://datatalks.club/slack.html)

For more information about the "Project of the Week" initiative at DataTalks.Club, see README.md.

If you want to receive reminders about this event, sign up here

Technologies

• VS Code
• Docker
• Python
• FastAPI,Flask,Streamlit
• Github

Note: this is a suggested list of technologies, you can chose alternatives instead

Plan

This is a proposed plan only, you don’t have to follow it day-by-day.

Day 1 (18 October, Wednesday)

• Check the first 20 mins of Nana’s Docker tutorial:
• Install Docker Desktop from https://docs.docker.com/engine/install/
• Suggestion: Run docker start in your terminal. Note: The requirements for running this command successfully differentiate on each OS.
• Read the Introduction of Docker Documentation: https://docker-curriculum.com/
• Create a GitHub repository.
• Share your progress in Slack and on social media.

Suggested material:

• 🗒️ What is Docker? | Redhat
• 🗒️ What is Docker?"In Simple English | Medium"

Found good materials? Create a PR with links!

• Docker Desktop to interact with Docker for Windows users ( using WSL )
  • If you don't have WSL installed, then visit the link first and then follow the above step.

Day 2 (19 October, Thursday)

• Pull a basic image and test some basic commands of Docker command line: Docker commands in the command line
• Create your own hello world Dockerfile, create an image from it and run a container: Hello world with Docker, Hello world with Docker
• Learn basic Docker commands and test them arround with the dockerfile: https://docs.docker.com/engine/reference/builder/
• Push your changes to GitHub.
• Share your progress in Slack and on social media.

Suggested material:

• 🗒️ 20 Essential Docker commands

Found good materials? Create a PR with links!

Day 3 (20 October, Friday)

• Choose a project on your own, you can create a simple prediction model or an analysis. Choose a dataset from this link: list of some datasets
• Create a script that prints information about this dataset. (for exampe df.describe) or that makes a prediction.
• Create a Dockerfile with a light python image that prints the same result after running the container.
• Push your changes to GitHub.
• Share your progress in Slack and on social media.

Suggested material:

• 📺 Docker Tutorial For Beginners
• 🗒️ Build Docker application with python example
• 🗒️ Python Dockerfile tutorial

Found good materials? Create a PR with links!

Day 4 (21 October, Saturday)

• Create an API for your project. It can be a simple get reques with a simple message or a post request for your model prediciton. If you dont have much time to prepare your own API in python check these examples and the required commands from this repo: prediction_service.py
• You can also create a frontend server with streamlit.
• Push your changes to GitHub.
• Share your progress in Slack and on social media.

Suggested material:

• 📺 FastAPI link 1
• 📺 FastAPI link 2
• 📺 Flask
• 📺 Streamlit

Found good materials? Create a PR with links!

Day 5 (22 October, Sunday)

• Create a Dockerfile that contains commands to run the API. Use a light python image as a base. See the suggestions below depending on the tool you used yesterday.
• Run the container and test your API endpoint. (make sure you have exposed the port of the container).
• Push your changes to GitHub.
• Share your progress in Slack and on social media.

Suggested material:

• 🗒️ Streamlit
• 🗒️ FastAPI link 1
• 🗒️ FastAPI link 2
• 🗒️ Flask

Found good materials? Create a PR with links!

Day 6 (23 October, Monday)

• Finish building your image.
• Test if it is an API the endpoint using python library request. Check this example: https://github.com/AntonisCSt/Docker_POW/blob/main/simple_FastAPI_prediction/send_data.py
• Publish your Docker Image to DockerHub.
• Push your changes to GitHub.
• Share your progress in Slack and on social media

Suggested material:

• 🗒️ How to publish your image to dockerhub
• 🗒️ Sharing your app| Docker official docs

Found good materials? Create a PR with links!

Day 7 (24 October, Tuesday)

• Continue exploring more about this topic.
• Bonus: Configure CI/CD on your project.
• Push your changes to GitHub.
• Share your progress in Slack and on social media.
• Give us feedback.
• Add the link to your project to this project of the week GitHub page.

Suggested material:

• 🗒️ Docker official
• 🗒️ CI/CD with github actions Found good materials? Create a PR with links!

Projects

List of projects from our participants:

• Repo with files related to project-of-the-week by Prabin
• ...
• (Create a PR)

(We will put the projects here after the event finishes)