How to Containerize a Python Application using Docker?

Is it challenging to deploy to production, discuss your Python code with coworkers, or compile it from a source? The best technology to handle this for your Python project is Docker. It is?one of the most widely used containerization technologies used by Python developers. . It enables the packaging of a program along with each of its dependencies into a solitary, small-footprint container. Containerization is the name of this procedure.

• There are many dependencies needed for the project.
• The project needs an outdated compiler or certain outdated library versions. Once you install it, further projects could start to fail.
• Even when you use Windows or a Mac, the software was created to be built and used on Linux.

Running your program in production might likewise be challenging for similar reasons! To deal with these challenges it’s better to go with containerization.

It’s helpful to know that there is a simple solution if you are experiencing these issues. Instead of relying on virtualization, it makes use of the containerization principle. To put it simply, containerization is a much lighter version of virtualization. We’ll be containerizing a sample Python project using Docker since it’s the de facto industry standard for containerization.

Why you should containerize your app

Now the important question arises why you should containerize your app? Well, it has a simple logic let’s understand.

A minor update in an external library’s version can alter your application’s functionality and cause it to act differently. Because of this, containerizing a program enables it to run consistently regardless of the workspace or device that it is installed on.

The best thing about Docker is that you can get surety that your application will run at the same speed on both devices if you containerize it and transmit the image to your colleague’s PC. This is because all of the dependencies for the application are included in the container.

What Exactly Is Docker?

Now let’s have some basics of docker. What it is and how it can help in the containerization process of an app.?

Docker is an open development, distribution, and execution environment for distributed applications. It provides the common toolbox needed by programmers, software developers, and operations professionals to benefit from the distributed and interconnected nature of modern systems.

Simply said, Docker enables you to run your programs inside a container—a regulated environment created according to your specifications. Similar to a regular virtual machine, a container makes use of the resources of your computer (VM). Furthermore, in terms of system resources, containers are very different from conventional virtual machines.?

In this blog, we have learned how you can containerize your python applications in simple steps. A?python development company?like ours can help you from start to end. Feel free to contact us anytime.?

Originally Published by https://www.inexture.com/containerize-python-application-using-docker/