Create Docker Container with Flask Seaborn Regression Plot App

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在此指導項目中,您將:

Use flask to create a web application that returns a plot.

Build a requirements document with packages needed for the application.

Build the application using a Dockerfile and test it.

Clock1 hour
Advanced高級設置
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
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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.

您要培養的技能

  • Linux
  • Data Science
  • Docker
  • Python Programming
  • Flask

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Install a Linux image into a docker container.

  2. Use the Pandas package with Seaborn to create a regression plot.

  3. Use flask to create a web application that returns a plot.

  4. Build a requirements document with packages needed for the application.

  5. Build the application in a container using a Dockerfile and test it.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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