학생용

Create Docker Container with Flask Seaborn Regression Plot App

4.6
별점
34개의 평가
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학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

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
Advanced고등
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

LinuxData ScienceDockerPython ProgrammingFlask

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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.

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

검토

CREATE DOCKER CONTAINER WITH FLASK SEABORN REGRESSION PLOT APP의 최상위 리뷰

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