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Developing Python 3 Apps with Docker

Moving from a traditional architecture to a containerized architecture can be intimidating. This course will teach you how to use Docker and Docker Compose to build and deploy highly scalable Python applications.

Building highly scalable Python applications in a microservices-based architecture can be challenging. In this course, Developing Python Apps with Docker, you'll learn how to run highly scalable Python applications in Docker containers. First, you'll explore how to create a Dockerfile and containerize a Python application. Next, you'll discover how to create and connect multiple docker containers together using Docker Compose. Finally, you'll learn how to make your application production-ready and debug it while it's running in a container. When you're finished with this course, you'll have the skills and knowledge of using Python with Docker that is needed to build robust and scalable Python applications in Docker.

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What's inside

Syllabus

Course Overview

Getting Started with Python and Docker

Running Multiple Containers with Docker Compose

Making Your Application Production-ready

Debugging Python Applications Running in Containers

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a foundation for learners who are new to Docker and Python development

Explores how to run multiple containers using Docker Compose, which is a standard approach for scaling Python applications

Provides a deep dive into making Python applications production-ready, which is a critical skill for many software engineers

Covers debugging Python applications running in containers, a useful skill for any developer working with Docker

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Developing Python 3 Apps with Docker with these activities:

Install and configure Docker on your computer

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Experience with configuring and installing Docker will help you to get started in this course.

Browse courses on Docker

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Follow the official Docker installation guide for your operating system.
Install Docker Compose according to the official documentation.
Run a simple Docker image to verify that your installation is successful.

Build a simple Python application in a Docker container

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Building simple Python applications in Docker containers will help you understand the basics of Docker and Python.

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Create a new Python project.
Create a Dockerfile for your project.
Build and run your Docker image.

Create a Docker Compose file to deploy a Python application with multiple containers

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Creating and working with Docker Compose files is an important aspect of deploying Python applications in a scalable way.

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Create a new Docker Compose file.
Define the services that will run in your containers.
Build and run your Docker Compose file.

Four other activities

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Explore Docker and Docker Compose documentation

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The official Docker and Docker Compose documentation contains a wealth of information that can help you understand how to use these tools effectively.

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Visit the Docker documentation website.
Visit the Docker Compose documentation website.
Read through the tutorials and examples provided in the documentation.

Write a blog post about your experience with Docker and Python

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Writing a blog post about your experiences with Docker and Python will help you to solidify your understanding of these concepts and share your knowledge with others.

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Choose a topic for your blog post.
Write a draft of your blog post.
Edit and proofread your blog post.
Publish your blog post.

Attend a Docker workshop or meetup

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Attending a workshop or meetup can help you to learn more about Docker and Python from experts in the field.

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Find a Docker workshop or meetup in your area.
Register for the workshop or meetup.
Attend the workshop or meetup.

Contribute to a Docker or Docker Compose project

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Contributing to open source projects can help you to learn more about Docker and Python while also giving back to the community.

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Find a Docker or Docker Compose project that you are interested in contributing to.
Read the project's documentation and contribution guidelines.
Make a contribution to the project.

Career center

Learners who complete Developing Python 3 Apps with Docker will develop knowledge and skills that may be useful to these careers:

Cloud Engineer

Cloud Engineers are responsible for the design, implementation, and management of cloud computing systems. They work with a variety of cloud platforms, and they must have a strong understanding of cloud computing concepts. The Developing Python 3 Apps with Docker course can help Cloud Engineers build a foundation in Docker, which is a popular tool for containerizing applications in the cloud. Docker can help Cloud Engineers improve the scalability, reliability, and security of their cloud applications.

See salaries and explore the career path for Cloud Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software systems. They work with a variety of programming languages and tools, and they must have a strong understanding of computer science fundamentals. The Developing Python 3 Apps with Docker course can help Software Engineers build a foundation in Docker, which is a popular tool for containerizing applications. Docker can help Software Engineers improve the scalability, reliability, and security of their applications.

See salaries and explore the career path for Software Engineer

DevOps Engineer

DevOps Engineers are responsible for the bridge between development and operations teams. They work to ensure that software is developed and deployed quickly and efficiently. DevOps Engineers must have a strong understanding of both software development and operations. The Developing Python 3 Apps with Docker course can help DevOps Engineers build a foundation in Docker, which is a popular tool for containerizing applications. Docker can help DevOps Engineers improve the speed, reliability, and efficiency of their software development and deployment processes.

See salaries and explore the career path for DevOps Engineer

Network Engineer

Network Engineers are responsible for the design, implementation, and maintenance of computer networks. They work with a variety of networking hardware and software, and they must have a strong understanding of networking concepts. The Developing Python 3 Apps with Docker course may be useful for Network Engineers who want to use Docker to containerize their network applications. Docker can help Network Engineers improve the scalability, reliability, and security of their networks.

See salaries and explore the career path for Network Engineer

Systems Administrator

Systems Administrators are responsible for the maintenance and operation of computer systems. They work with a variety of operating systems and software, and they must have a strong understanding of system administration concepts. The Developing Python 3 Apps with Docker course may be useful for Systems Administrators who want to use Docker to containerize their applications. Docker can help Systems Administrators improve the scalability, reliability, and security of their systems.

See salaries and explore the career path for Systems Administrator

Machine Learning Engineer

Machine Learning Engineers are responsible for the design, development, and deployment of machine learning models. They work with a variety of machine learning tools and techniques, and they must have a strong understanding of computer science and machine learning fundamentals. The Developing Python 3 Apps with Docker course may be useful for Machine Learning Engineers who want to use Docker to containerize their machine learning applications. Docker can help Machine Learning Engineers improve the scalability, reliability, and security of their applications.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

Web Developers are responsible for the design, development, and maintenance of websites and web applications. They work with a variety of web development tools and technologies, and they must have a strong understanding of web development principles. The Developing Python 3 Apps with Docker course may be useful for Web Developers who want to use Docker to containerize their web applications. Docker can help Web Developers improve the scalability, reliability, and security of their applications.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data. They work with a variety of data science tools and techniques, and they must have a strong understanding of statistics and machine learning. The Developing Python 3 Apps with Docker course may be useful for Data Scientists who want to use Docker to containerize their data science applications. Docker can help Data Scientists improve the scalability, reliability, and security of their applications.

See salaries and explore the career path for Data Scientist

Security Engineer

Security Engineers are responsible for the design, implementation, and maintenance of computer security systems. They work with a variety of security hardware and software, and they must have a strong understanding of security concepts. The Developing Python 3 Apps with Docker course may be useful for Security Engineers who want to use Docker to containerize their security applications. Docker can help Security Engineers improve the scalability, reliability, and security of their security systems.

See salaries and explore the career path for Security Engineer

Software Architect

Software Architects are responsible for the design and architecture of software systems. They work with a variety of software development tools and technologies, and they must have a strong understanding of software development principles. The Developing Python 3 Apps with Docker course may be useful for Software Architects who want to use Docker to containerize their software applications. Docker can help Software Architects improve the scalability, reliability, and security of their applications.

See salaries and explore the career path for Software Architect

Business Analyst

Business Analysts are responsible for the analysis of business processes and systems. They work with a variety of stakeholders, including businesses, customers, and users. The Developing Python 3 Apps with Docker course may be useful for Business Analysts who want to learn more about Docker. Docker is a popular tool for containerizing applications, and Business Analysts can use Docker to understand the technical aspects of the systems they are analyzing.

See salaries and explore the career path for Business Analyst

Database Administrator

Database Administrators are responsible for the design, implementation, and maintenance of database systems. They work with a variety of database software, and they must have a strong understanding of database administration concepts. The Developing Python 3 Apps with Docker course may be useful for Database Administrators who want to use Docker to containerize their database applications. Docker can help Database Administrators improve the scalability, reliability, and security of their databases.

See salaries and explore the career path for Database Administrator

Product Manager

Product Managers are responsible for the development and management of software products. They work with a variety of stakeholders, including engineers, designers, and customers. The Developing Python 3 Apps with Docker course may be useful for Product Managers who want to learn more about Docker. Docker is a popular tool for containerizing applications, and Product Managers can use Docker to understand the technical aspects of their products.

See salaries and explore the career path for Product Manager

Technical Writer

Technical Writers are responsible for writing and editing technical documentation. They work with a variety of software and hardware products, and they must have a strong understanding of technical concepts. The Developing Python 3 Apps with Docker course may be useful for Technical Writers who want to learn more about Docker. Docker is a popular tool for containerizing applications, and Technical Writers can use Docker to create and maintain documentation for Dockerized applications.

See salaries and explore the career path for Technical Writer

Project Manager

Project Managers are responsible for the planning, execution, and control of software development projects. They work with a variety of stakeholders, including engineers, designers, and customers. The Developing Python 3 Apps with Docker course may be useful for Project Managers who want to learn more about Docker. Docker is a popular tool for containerizing applications, and Project Managers can use Docker to understand the technical aspects of the projects they are managing.

See salaries and explore the career path for Project Manager

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Developing Python 3 Apps with Docker.

Network Programmability and Automation

Save

Comprehensive guide to Docker and provides a solid foundation for understanding how Docker works.

Network Programmability and Automation: Skills for...

Paperback

Network Programmability and Automation

Kindle Edition

Getting Started with Docker

Save

Great introduction to Docker and is written for beginners.

Getting Started with Docker

Paperback

Check price

Getting Started with Docker

Kindle Edition

Check price

Monitoring with Prometheus

Save

Comprehensive guide to Docker and covers everything from basic concepts to advanced techniques.

Monitoring with Prometheus

Kindle Edition

Quitless

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Comprehensive guide to Docker and is written for experienced developers.

Blitzscaling

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Great introduction to Docker and is written for developers who want to learn how to use Docker in their projects.

Docker in Action, Second Edition

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Comprehensive guide to Docker and is written for developers who want to learn how to use Docker in their projects.

Docker in Action, Second Edition

Paperback

Kubernetes in Action, Second Edition

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Comprehensive guide to Kubernetes and is written for developers who want to learn how to use Kubernetes in their projects.

Kubernetes in Action, Second Edition

Paperback

$$$

Docker Deep Dive

Save

Comprehensive guide to Docker.

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Time

149 hours

Level

Intermediate

Via

Pluralsight

Instructor

Steven Haines

Language

English

Good to know

Builds a foundation for learners who are new to Docker and Python development

Explores how to run multiple containers using Docker Compose, which is a standard approach for scaling Python applications

Provides a deep dive into making Python applications production-ready, which is a critical skill for many software engineers

Covers debugging Python applications running in containers, a useful skill for any developer working with Docker

Share and help others discover this course.

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