Create Docker Container with Flask Seaborn Regression Plot App

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在此指导项目中,您将:

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
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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.

您要培养的技能

LinuxData ScienceDockerPython ProgrammingFlask

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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