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Steven Haines
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/8ea4pd/developing
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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
Read more
Syllabus
Course Overview
Getting Started with Python and Docker
Running Multiple Containers with Docker Compose
Making Your Application Production-ready
Read more
Debugging Python Applications Running in Containers
Good to know
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
Save this course
Save Developing Python 3 Apps with Docker to your list so you can find it easily later:
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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
Show steps
Experience with configuring and installing Docker will help you to get started in this course.
Browse courses on
Docker
Show steps
-
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
Show steps
Building simple Python applications in Docker containers will help you understand the basics of Docker and Python.
Show steps
-
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
Show steps
Creating and working with Docker Compose files is an important aspect of deploying Python applications in a scalable way.
Show steps
-
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
Expand to see all activities and additional details
Show all seven activities
Explore Docker and Docker Compose documentation
Show steps
The official Docker and Docker Compose documentation contains a wealth of information that can help you understand how to use these tools effectively.
Show steps
-
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
Show steps
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.
Show steps
-
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
Show steps
Attending a workshop or meetup can help you to learn more about Docker and Python from experts in the field.
Show steps
-
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
Show steps
Contributing to open source projects can help you to learn more about Docker and Python while also giving back to the community.
Show steps
-
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.
Install and configure Docker on your computer
Show steps
Experience with configuring and installing Docker will help you to get started in this course.
Browse courses on
Docker
Show steps
Show steps
Show steps
- 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
Show steps
Building simple Python applications in Docker containers will help you understand the basics of Docker and Python.
Show steps
Show steps
Show steps
- 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
Show steps
Creating and working with Docker Compose files is an important aspect of deploying Python applications in a scalable way.
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all seven activities
Explore Docker and Docker Compose documentation
Show steps
The official Docker and Docker Compose documentation contains a wealth of information that can help you understand how to use these tools effectively.
Show steps
Show steps
Show steps
- 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
Show steps
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.
Show steps
Show steps
Show steps
- 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
Show steps
Attending a workshop or meetup can help you to learn more about Docker and Python from experts in the field.
Show steps
Show steps
Show steps
- 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
Show steps
Contributing to open source projects can help you to learn more about Docker and Python while also giving back to the community.
Show steps
Show steps
Show steps
- 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 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.
Software 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.
DevOps 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.
Network 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.
Systems Administrator
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.
Machine Learning Engineer
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.
Web Developer
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.
Data Scientist
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.
Security Engineer
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.
Software Architect
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.
Business Analyst
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.
Database Administrator
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.
Product Manager
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.
Technical Writer
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.
Project Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/8ea4pd/developing
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.
Comprehensive guide to Docker and provides a solid foundation for understanding how Docker works.
Great introduction to Docker and is written for beginners.
Comprehensive guide to Docker and covers everything from basic concepts to advanced techniques.
Save
Comprehensive guide to Docker and is written for experienced developers.
Save
Great introduction to Docker and is written for developers who want to learn how to use Docker in their projects.
Comprehensive guide to Docker and is written for developers who want to learn how to use Docker in their projects.
Comprehensive guide to Kubernetes and is written for developers who want to learn how to use Kubernetes in their projects.
Save
Comprehensive guide to Docker.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8ea4pd/developing
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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
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