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Learn Python, the most popular programming language in the world. Python is used in many different areas, including Web Development, Data Science, Machine Learning, Robotics and more.
Learn how to create robots in 3D, using Fusion 360 and FreeCAD. The models can be printed out using a 3d printer and then assembled into a physical robot.
Learn how to create Databases in Python, with SQLite3 and Redis.
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By Kevin McAleer, 3 Minutes
In this lesson, we delve into the process of creating your own Docker images using Dockerfiles. Mastering Dockerfiles is crucial for customizing your Docker environment and tailoring it to your specific needs.
A Dockerfile is a text document containing all the commands a user could call on the command line to assemble an image. It serves as a recipe for creating Docker images.
Creating a Dockerfile involves defining the environment inside your container. Here’s a step-by-step guide to writing a simple Dockerfile:
ubuntu
alpine
node
# Use an official Python runtime as a parent image FROM python:3.7-slim # Set the working directory in the container WORKDIR /usr/src/app # Copy the current directory contents into the container at /usr/src/app COPY . . # Install any needed packages specified in requirements.txt RUN pip install --no-cache-dir -r requirements.txt # Define environment variable ENV NAME World # Run app.py when the container launches CMD ["python", "./app.py"]
Once your Dockerfile is ready, you can build an image from it:
docker build -t your-image-name .
-t
docker run your-image-name
docker build -t my-python-app . docker run my-python-app
Through this lesson, you’ve learned how to create a Dockerfile, build a Docker image from it, and run a container using your custom image. This skill is fundamental in Docker, as it allows you to create tailored environments for your applications.
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