Anaconda Docker Image Python 3
2/12/2022by admin
You can run a Python script using Docker containers. This tutorial will help you to run a Python script over command line within Docker isolated environment.
The Conda packaging tool implements environments, that enable different applications to have different libraries installed. So when you’re building a Docker image for a Conda-based application, you’ll need to activate a Conda environment. Unfortunately, activating Conda environments is a bit complex, and interacts badly with the way Dockerfiles works. So how do you activate a Conda. Building smaller Python Docker images. Changes are afoot at Zeit Now, my preferred hosting provider for the past year (see previous posts).They have announced Now 2.0, an intriguing new approach to providing auto-scaling immutable deployments. Building Docker Images with Anaconda - atodorov.org › Top Images From www.atodorov.org. Posted: (3 days ago) Oct 28, 2015 Anaconda, the Fedora and Red Hat Enterprise Linux installer, has gained some features to facilitate building Docker images. These are only available in kickstart. Anaconda for Python distribution is installed. Note that the Docker image python:3 could be a large Windows server image 1.53GB normally meant for things like running IIS. The first directive in the Dockerfile, FROM python:3.7 tells Docker which image to base our container on. We use the official Python image from Dockerhub that comes with Python and Linux setup for you, ready for use in a python project.
Run Python Example within Docker
- Create Python Script – First, create a sample Python script to run on web server under the Docker container. Edit script.py in your favorite text editor.
Add the following content:
2print('This is Python running in Docker'); - Create Dockerfile – Next create a file named Dockerfile under the same directory. Edit Dockerfile in a text editor:
Add below content to file.
Here you can choose your preferred Python version and operating systems for your Docker container.
- Build Image – You have a Dockerfile and a sample script.py Python script in your current directory. Now, you need to create a docker image with these files. Execute below command to build and crate Docker image.
The above command will create a Docker image with name img-python-example.
- Run Container –Now, you have a docker image now. Use this docker image to launch a new container on your system. To run your Docker container using the newly created image, type:
You can use “-d” option to run as demon mode.
Requeriments
You should have python3 installed. To check which version of python do you have installed, just run:
Step 1 - Set Up Your Development Environment
Whenever you are starting a new web development project, it’s a good idea to first set up your development environment. So, let's create a new directory for your project to live in, and move into it:
Once your inside the main directory, it’s a good idea to create a virtual environment to manage dependencies. There are many different ways to set up virtual environments, but here you’re going to use venv
:
This command will create a folder venv in your working directory. Inside this directory, you’ll find several files including a copy of the Python standard library. Later, when you install new dependencies, they will also be stored in this directory. Next, you need to activate the virtual environment by running the following command:
You’ll know that your virtual environment has been activated, because your console prompt in the terminal will change. Itß should look something like this:
Step 2 - Create a Django Project
Once you have a python virtual environment enable, you need to add the standard Python project dependencies file which is usually named requirements.txt
, and the Django dependency to it. Good, once you have created and added the dependencies, the file should look like this:
With the Django dependency added, you can then install Django using the following command:
Once installed, you will find that you now have access to the django-admin command line tool, which you can use to generate the project files and directory structure needed for the simple “Hello, World!” application.
Let’s take a look at the project structure the tool has just created for you:
You can control the application for development purposes using the manage.py
file, which allows you to start the development test web server for example:
Then, in your browser go to http://127.0.0.1:8000/, and you should see the following:
Congratulations, you’ve created a Django site! The next step is to create apps so that you can add views and functionality to your site.
Step 3 - Create a Django Application
To create the app, run the following command:
This will create another directory called hello_world with several files:
__init__.py
tells Python to treat the directory as a Python package.admin.py
contains settings for the Django admin pages.apps.py
contains settings for the application configuration.models.py
contains a series of classes that Django’s ORM converts to database tables.tests.py
contains test classes.views.py
contains functions and classes that handle what data is displayed in the HTML templates.
Once you’ve created the app, you need to install it in your project. In mysite/settings.py
, add the following line of code under INSTALLED_APPS
:
That line of code means that your project now knows that the app you just created exists. The next step is to create a view so that you can display something to a user.
Create a View
Navigate to the views.py
file in the hello_world
directory. There’s already a line of code in there that imports render(). Add the following code:
You’ve defined a view function called helloworld(). When this function is called, it will render an HTML file called hello_world.html
. That file doesn’t exist yet, so let's create it. Create that directory and subsequently a file named helloworld.html inside it:
Add the following lines of HTML to your file:
You’ve now created a function to handle your views and templates to display to the user. The final step is to hook up your URLs so that you can visit the page you’ve just created. Your project has a module called urls.py
in which you need to include a URL configuration for the hello_world app. Inside mysite/urls.py
, add the following:
Anaconda Docker Image Python 3.7
This looks for a module called urls.py
inside the hello_world
application and registers any URLs defined there. Whenever you visit the root path of your URL (localhost:8000), the hello_world
application’s URLs will be registered. The hello_world.urls
module doesn’t exist yet, so you’ll need to create it:
Now, when you restart the server and visit localhost:8000, you should be able to see the HTML template you created:
Good job!!! You’ve created your first Django app and hooked it up to your project. Now, let's run inside docker container.
Step 4: Dockerize the Application
Setup Docker
Before creating a container for the Django application and shipping it off, you need to install Docker on your local machine. For learning purpose, you will install Docker Community Edition. Select your OS from the list below and follow the setup instructions;

Make the docker App image
Anaconda Docker Image Python 3 Free
The next stage is to add a Dockerfile
to your project. The structure of a Dockerfile
can be considered a series of instructions on how to build your container/image.
Anaconda Docker Image Python 3.7
Start the Dockerfile by creating an empty file named Dockerfile
in the root of your project. Then, complete each instruction according to the following example:
The first directive in the Dockerfile, FROM python:3.7
tells Docker which image to base our container on. We use the official Python image from Dockerhub that comes with Python and Linux setup for you, ready for use in a python project.
You are now ready to build the container image, and then run it to see it all working together.

Building and Running the Container
Building the container is very straight forward once you have Docker and Docker Machine on your system. The following command will look for your Dockerfile
and download all the necessary layers required to get your container image running. Afterwards, it will run the instructions in the Dockerfile
and leave you with a container that is ready to start.
To build your container, you will use the docker build
command and provide a tag or a name for the container, so you can reference it later when you want to run it. The final part of the command tells Docker which directory to build from.
The final step is to run the container you have just built using Docker:
The command tells Docker to run the container and forward the exposed port 8000 to port 8000 on your local machine. After you run this command, you should be able to visit http://localhost:8000 in your browser to see the “Hello, World!” response.
You can see the Docker containers that are currently running on your system (along with their Container IDs) with:
To turn off your Docker container, run:
Step 5: Push to cloud
1. Create your app
In order to install the django docker container, create a new app via cli or admin panel and set a port to 8000.
2. Push your docker container
Before push the container you need to enable the URL into the django ALLOWED_HOST. So go on mysite/setting.py
:
Now just build and push the container:
3. Set up resources
5. Logs and app status

6. Release
Now you can deploy your django app without a massive build time.
Bonus 1: SSL certificate for HTTPS
Anaconda Docker Image Python 3 Download
It's already done for you. If you need to connect your custom domain, SSL certificate will be provided for it.
Bonus 2: Autoscaling
With autoscaling the app will be scaled up when CPU and RAM load goes up and scaled down when it goes down.
Now you can deploy your django app without a massive build time.
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