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Create Docker Container with Flask Seaborn Regression Plot App
David Dalsveen
David Dalsveen
Often a software application developed on one platform will not run on another because of software environment differences. Sometimes it can happen when an operating system is updated, for example. Suddenly an application starts to fail. Containers solve that problem by creating a controlled environment in which to run the application, separate from the host machine’s environment. The container contains a specific version of each software package that is known to work with an application at a given point in time. Docker is an application that allows the developer to generate containers to easily build and share applications.
Read more
Often a software application developed on one platform will not run on another because of software environment differences. Sometimes it can happen when an operating system is updated, for example. Suddenly an application starts to fail. Containers solve that problem by creating a controlled environment in which to run the application, separate from the host machine’s environment. The container contains a specific version of each software package that is known to work with an application at a given point in time. Docker is an application that allows the developer to generate containers to easily build and share applications.
Read more
Often a software application developed on one platform will not run on another because of software environment differences. Sometimes it can happen when an operating system is updated, for example. Suddenly an application starts to fail. Containers solve that problem by creating a controlled environment in which to run the application, separate from the host machine’s environment. The container contains a specific version of each software package that is known to work with an application at a given point in time. Docker is an application that allows the developer to generate containers to easily build and share applications.
In this course, you will create a Docker container in which you will implement a web application using flask in a Linux environment. The application will return a regression plot of data housed in a CSV file on the server.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/dxkwzn/create
What's inside
Syllabus
Create a Flask Seaborn Regression Plot App Docker Container
Often a software application developed on one platform will not run on another because of software environment differences. Sometimes it can happen when an operating system is updated, for example. Suddenly an application starts to fail. Containers solve that problem by creating a controlled environment in which to run the application, separate from the host machine’s environment. The container contains a specific version of each software package that is known to work with an application at a given point in time. Docker is an application that allows the developer to generate containers to easily build and share applications.
In this course, you will create a Docker container in which you will implement a web application using flask in a Linux environment. The application will return a regression plot of data housed in a CSV file on the server.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers basics of Docker and its use cases, which is standard in many industries
Involves using Python and Flask, popular choices for web development
Involves using Seaborn for data visualization, a widely used Python library
Course is designed for beginners with no prior experience in Docker, Flask, or Seaborn
Provides hands-on practice through exercises and a final project
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Reviews summary
Practical flask learning
According to students, this course creates a practical learning experience for using Flask to serve images created with matplotlib and seaborn. It is well-received by learners and includes engaging assignments and a supportive instructor. However, some students experienced technical issues with the Rhyme platform, which may have impacted their learning experience.
Supportive instructor.
"I've completed two other projects from this instructor and it feels like having a temporary professional mentor to guide me through practical implementations on whatever topic I desire."
Provides practical experience.
"Brings together in one place what you need to know for using Flask to serve images created with matplotlib and seaborn."
"It's easy to fall along and learn the important details for running this application in Docker."
Technical issues with Rhyme platform.
"Content great, but Rhyme online virtual platform did not work for me at all."
"I'm rather disappointed with this course... Additionally the Rhyme platform was not working"
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 Create Docker Container with Flask Seaborn Regression Plot App with these
activities:
Seek Mentorship
Show steps
Connect with experienced professionals in the field to gain valuable insights, guidance, and support throughout your learning journey.
Browse courses on
Docker
Show steps
-
Reach out to potential mentors in your network
-
Attend industry events and workshops
Review Python Fundamentals
Show steps
Review the basic concepts of Python programming, such as data types, variables, and control flow, to enhance your understanding of Docker containers and Flask.
Browse courses on
Python
Show steps
-
Read through Python documentation or tutorials
-
Complete online coding exercises or quizzes
Follow Flask Tutorials
Show steps
Complete guided tutorials on Flask to gain hands-on experience in creating web applications, which will complement your understanding of Docker containerization.
Browse courses on
Flask
Show steps
-
Find beginner-friendly Flask tutorials online
-
Follow the steps and build a simple web application
-
Experiment with different Flask features
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a Study Group
Show steps
Engage with other learners to discuss course concepts, share knowledge, and work through challenging topics, enhancing your understanding of Docker and Flask.
Browse courses on
Docker
Show steps
-
Find or create a study group
-
Meet regularly to discuss course material
-
Collaborate on projects
Docker Command Practice
Show steps
Practice using Docker commands through interactive exercises or tutorials, enhancing your proficiency in managing Docker containers and images.
Browse courses on
Docker
Show steps
-
Find online Docker command exercises or tutorials
-
Follow the instructions and practice executing Docker commands
Develop a Flask Project
Show steps
Create a Flask project that demonstrates your understanding of web application development. This will allow you to apply the concepts learned in the course and build a portfolio piece.
Browse courses on
Flask
Show steps
-
Plan and design your Flask project
-
Implement the backend and frontend components
-
Test and debug your application
Build a Dockerized Flask Application
Show steps
Create a Dockerized Flask application that encapsulates the concepts learned in the course. This project will demonstrate your ability to package and deploy a web application using Docker.
Browse courses on
Docker
Show steps
-
Design and plan your Dockerized Flask application
-
Create the Dockerfile and build the Docker image
-
Run and test your Dockerized Flask application
Write a Technical Blog Post
Show steps
Share your learning experience and insights by writing a technical blog post on Docker and Flask. This will help you reinforce your understanding and contribute to the community.
Browse courses on
Docker
Show steps
-
Choose a specific topic related to Docker and Flask
-
Research and gather relevant information
-
Write and publish your blog post
Seek Mentorship
Show steps
Connect with experienced professionals in the field to gain valuable insights, guidance, and support throughout your learning journey.
Browse courses on
Docker
Show steps
Show steps
Show steps
- Reach out to potential mentors in your network
- Attend industry events and workshops
Review Python Fundamentals
Show steps
Review the basic concepts of Python programming, such as data types, variables, and control flow, to enhance your understanding of Docker containers and Flask.
Browse courses on
Python
Show steps
Show steps
Show steps
- Read through Python documentation or tutorials
- Complete online coding exercises or quizzes
Follow Flask Tutorials
Show steps
Complete guided tutorials on Flask to gain hands-on experience in creating web applications, which will complement your understanding of Docker containerization.
Browse courses on
Flask
Show steps
Show steps
Show steps
- Find beginner-friendly Flask tutorials online
- Follow the steps and build a simple web application
- Experiment with different Flask features
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a Study Group
Show steps
Engage with other learners to discuss course concepts, share knowledge, and work through challenging topics, enhancing your understanding of Docker and Flask.
Browse courses on
Docker
Show steps
Show steps
Show steps
- Find or create a study group
- Meet regularly to discuss course material
- Collaborate on projects
Docker Command Practice
Show steps
Practice using Docker commands through interactive exercises or tutorials, enhancing your proficiency in managing Docker containers and images.
Browse courses on
Docker
Show steps
Show steps
Show steps
- Find online Docker command exercises or tutorials
- Follow the instructions and practice executing Docker commands
Develop a Flask Project
Show steps
Create a Flask project that demonstrates your understanding of web application development. This will allow you to apply the concepts learned in the course and build a portfolio piece.
Browse courses on
Flask
Show steps
Show steps
Show steps
- Plan and design your Flask project
- Implement the backend and frontend components
- Test and debug your application
Build a Dockerized Flask Application
Show steps
Create a Dockerized Flask application that encapsulates the concepts learned in the course. This project will demonstrate your ability to package and deploy a web application using Docker.
Browse courses on
Docker
Show steps
Show steps
Show steps
- Design and plan your Dockerized Flask application
- Create the Dockerfile and build the Docker image
- Run and test your Dockerized Flask application
Write a Technical Blog Post
Show steps
Share your learning experience and insights by writing a technical blog post on Docker and Flask. This will help you reinforce your understanding and contribute to the community.
Browse courses on
Docker
Show steps
Show steps
Show steps
- Choose a specific topic related to Docker and Flask
- Research and gather relevant information
- Write and publish your blog post
Career center
Learners who complete Create Docker Container with Flask Seaborn Regression Plot App will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help aspiring Software Engineers gain hands-on experience in using Docker and Flask, which are essential tools for building and deploying modern web applications. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can enhance their skills and increase their competitiveness in the job market.
Data Scientist
Data Scientist
Data Scientists use statistical methods and machine learning algorithms to analyze data and solve business problems. This course can help aspiring Data Scientists gain practical experience in using Docker and Flask, which are widely used in the field of data science. By learning how to create Docker containers and deploy Flask applications, individuals can build a strong portfolio and demonstrate their technical capabilities to potential employers.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites and web applications. This course can help aspiring Web Developers build a strong foundation in Docker and Flask, which are widely used in the field of web development. By learning how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong portfolio and demonstrate their technical capabilities to potential employers.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. This course can help aspiring Data Engineers gain practical experience in using Docker and Flask, which are widely used in the field of data engineering. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud-based applications and infrastructure. This course can help aspiring Cloud Engineers gain practical experience in using Docker and Flask, which are widely used in the field of cloud computing. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract meaningful insights for businesses. This course can help aspiring Data Analysts build a foundation in Docker and Flask, which are essential tools for building and deploying data-driven applications. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can enhance their skills and increase their competitiveness in the job market.
Systems Administrator
Systems Administrator
Systems Administrators manage and maintain computer systems and networks. This course can help aspiring Systems Administrators gain practical experience in using Docker and Flask, which are widely used in the field of systems administration. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can enhance their skills and increase their competitiveness in the job market.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This course can help aspiring Machine Learning Engineers gain practical experience in using Docker and Flask, which are widely used in the field of machine learning. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
DevOps Engineer
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams to ensure that software is built, tested, and deployed efficiently. This course can help aspiring DevOps Engineers gain practical experience in using Docker and Flask, which are widely used in the field of DevOps. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Product Manager
Product Manager
Product Managers manage the development and launch of software products. This course can help aspiring Product Managers gain practical experience in using Docker and Flask, which are widely used in the field of product management. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Business Analyst
Business Analyst
Business Analysts bridge the gap between business and technical teams to ensure that software meets business needs. This course can help aspiring Business Analysts gain practical experience in using Docker and Flask, which are widely used in the field of business analysis. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and hardware products. This course can help aspiring Technical Writers gain practical experience in using Docker and Flask, which are widely used in the field of technical writing. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software products to ensure that they meet quality standards. This course can help aspiring Quality Assurance Analysts gain practical experience in using Docker and Flask, which are widely used in the field of quality assurance. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
IT Project Manager
IT Project Manager
IT Project Managers plan and execute IT projects. This course can help aspiring IT Project Managers gain practical experience in using Docker and Flask, which are widely used in the field of IT project management. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
Technical Support Specialist
Technical Support Specialist
Technical Support Specialists provide technical support to users of software and hardware products. This course can help aspiring Technical Support Specialists gain practical experience in using Docker and Flask, which are widely used in the field of technical support. By understanding how to create and manage Docker containers, and how to use Flask to develop web applications, individuals can build a strong foundation and increase their competitiveness in the job market.
For more career information including salaries, visit:
OpenCourser.com/course/dxkwzn/create
Reading list
We've selected nine 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
Create Docker Container with Flask Seaborn Regression Plot App.
Comprehensive guide to developing web applications using Flask and Python. It covers all aspects of Flask development from beginner to advanced topics and includes numerous code examples.
Provides a practical guide to using Docker for building and deploying applications. It covers everything from beginner to advanced topics and includes numerous examples.
Provides a comprehensive introduction to machine learning using Python. It covers a wide range of topics, including supervised and unsupervised learning, model evaluation, and feature engineering. It valuable resource for learners who want to develop their skills in machine learning.
Provides a comprehensive introduction to natural language processing (NLP) using Python. It covers a wide range of topics, including text classification, text summarization, and machine translation. It valuable resource for learners who want to develop their skills in NLP.
Provides a comprehensive introduction to deep learning using Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for learners who want to develop their skills in deep learning.
Provides a comprehensive guide to data science using Python. It covers a wide range of topics, including data wrangling, data visualization, and machine learning. It valuable resource for learners who want to develop their skills in data science.
Provides a hands-on introduction to machine learning using Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, including supervised and unsupervised learning, model evaluation, and feature engineering. It valuable resource for learners who want to develop their skills in machine learning.
Provides a comprehensive overview of data visualization techniques using Python and JavaScript. It covers both basic and advanced topics and includes numerous examples.
Save
Provides a comprehensive reference to Python language, syntax, and standard library. It useful supplement to the course's hands-on exercises and can help learners understand the underlying principles of Python programming.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dxkwzn/create
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Effort
1 hour
Level
Advanced
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Covers basics of Docker and its use cases, which is standard in many industries
Involves using Python and Flask, popular choices for web development
Involves using Seaborn for data visualization, a widely used Python library
Course is designed for beginners with no prior experience in Docker, Flask, or Seaborn
Provides hands-on practice through exercises and a final project
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