You can create and publish a Dockler to Docker Hub image

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Obvious Introduction

You probably know the struggle if you've tried to use your app on a different machine, group laptop, testing server, or cloud. Something is always broken. Maybe the package is not included, or the Python version is turned off, or the environment is not really good.

This is where the boy makes simple life. With Dockeer, you can compile your entire app code, depending on the environment in a neatly tiny container that works the same everywhere. You can publish that season in Dockeer Hub so that anyone can pull it down and run right away.

In this guide, I will go in such a way that we:

• Write a simple Python app
• Build a DOCKER picture about it
• Talk to your area
• Report to Docker Hub so we have been shared

Obvious Requirements

Before we cover your Python app, make sure you have the following:

1. Python: Make sure Python is installed on your machine (maybe Python 3.7+). You can check this by running: python --version or python3 --version
2. Docker is included and active: You will need a docker installed and running on your machine. If you haven't installed it yet, download it from Docker Desktop. After installation, make sure the docker is valid: docker --version
3. Doccer Hub account: Publish your image online, you will need a free Dockeer Hub account. Sign up here if you have not yet: Docker hub.

Obvious Step 1: Create a simple Python app

Before we entered Edocker, we need something to really produce. So let's start with a very basic web app using Kickthe draft webpage.

This app will have one way to say hello. In that, create folder by name by Dydocker-Python-App, and between it, create two files:

// 1. app.py

from flask import Flask
app = Flask(__name__)

@app.route("
def hello():
    return "Hello World!"

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=8000)

At this code:

• We build a Flask app.
• We explain one way (/) to a friendly message.
• We use the app on Host “0.0.0.0” So the docker can express it without a dish.
• The port is set to 8000.

// 2. requirements.txt

Dockeer needs to know what Python package your application you need, so let's write in the requirements.txt File:

Obvious Step 2: Create DockeFile

Now that you have received the Python app, we need to teach the girl how to build and eliminate. That's what Dockfile did. Basically a recipe tells a young girl:

“Here is the basic picture to use, here is how to lean, and here you can use the app.”

In your project folder (Docker-Python-App), create a dockerfile file (no file extension):

# 1. Start with a lightweight Python base image
FROM python:3.11-slim

# 2. Set the working directory in the container
WORKDIR /app

# 3. Copy the dependency file and install packages
COPY requirements.txt .
RUN pip install --upgrade pip && pip install --no-cache-dir -r requirements.txt

# 4. Copy the rest of your app code
COPY . .

# 5. Tell Docker which port the app will use
EXPOSE 8000

# 6. Define the command to run your app
CMD ["python", "app.py"]

This file is basically:

• Using a small Python photo
• Includes the dependence of your application
• Copy your code within a container
• You run app.py When the container begins

This is all you need to add your app. Let's now let it.

Obvious Step 3: Create a Docker picture

In your terminal within the project guide, Run:

docker build -t your_dockerhub_username/docker-python-app .

Don't forget to replace your_dockerhub_username with your actual username. In this command:

• docker build tells young girl to create a picture
• -t lets you mark (name) photo so it's easy to look at later
• . Tells young girlfriend to use a current directory (where the dockerfile lives)

After a minute or so, the docker will install your app in the picture. You will see something in your terminal as:

Obvious Step 4: Run and test your picture in your area

Let's make sure that it actually works before you publish it.

Start this command:

docker run -p 8000:8000 your_dockerhub_username/docker-python-app

This commandment tells a young girl:

• “Run a bowl”
• Map port 8000 on your local machine to unload 8000 inside the container (where the flask works)

You will see something in your terminal as:

Now turn your browser and go . You should see:

If you see that, your picture works directly as expected.

Obvious Step 5: Press the Dockler Picture to Docker Hub

Now press your photo to your Docker Hub repository using command:

docker push your_dockerhub_username/docker-python-app

When prompted, confirm first with docker login Using your Docker Hub credentials.

Obvious Step 6: Pull and run from any

Anyone now can pull your Docker picture using:

docker pull image_owner_username/docker-python-app

This page Referring to the Docker Hub username or your owner, not your owner (unless you own). For example, if your username is available john123 And you want to draw this picture, you can type:

docker pull kanwal5119/docker-python-app

Because kanwal5119 You own the picture, you can draw and run, don't change or press it without accessing.

Run using command:

docker run -p 8000:8000 image_owner_username/docker-python-app

By your output, go to the or

Obvious Store

In this article, learn how to create the Python app, you have taken a docker, check it in the Dockler Hub, makes it more comfortable. This makes your flow difficult to clean the work and more comfortable. If you want to continue, try:

• Adding tags version like: v1.0 in your photos.
• Creating a .dockerignore A file to do well to build.
• Setting up creates defaults with Githubub + Docker Hub.
• Running your picture in the cloud platform (such as AWS, GCP, or Azure).

There is a lot to do with Docker, but now you have found the closets closed inside. If you are plied in any point or have any questions, leave a comment below.

Kanal Mehreen Are the engineering engineer and a technological author interested in the biggest interest of data science and a medication of Ai and medication. Authorized EBOOK “that added a product with chatGPT”. As a Google scene 2022 in the Apac, it is a sign of diversity and the beauty of education. He was recognized as a Teradata variation in a Tech scholar, Mitacs Globalk scholar research, and the Harvard of Code Scholar. Kanalal is a zealous attorney for a change, who removes Femcodes to equip women to women.