Working with AWS S3 Buckets using Python & boto3

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Create an AWS S3 Bucket, Upload & Download objects programmatically.

Learn Multi-part File Transfer & Generate Pre-signed URLS.

Set up Bucket Policies & CORS configuration for an AWS S3 bucket.

Clock2 hours
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this project, we will look at how to work with the AWS S3, which is Amazon’s File Storage System, programmatically using AWS’s SDK in Python, boto3. We will first look at how to create and modify AWS S3 Buckets using boto3. We will then look at how to create an S3 Bucket, how to download and upload different types of files to S3. We will then look at how to use Multi-part Transfer to upload large files. We will then move on to how to create Pre-signed URLS to provide temporary Access to users. We will then learn how to configure bucket policies. And finally look at how to setup CORS (Cross-Origin Resource Sharing) which enables client web applications to access our S3 bucket. 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

simple storage serviceCloud Storageaws s3Amazon Web Services (Amazon AWS)python boto3

단계별 학습

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

  1. Introduction , Getting Credentials for Programmatic Access & Creating an AWS S3 Bucket Using Boto3 Python

  2. Listing Buckets & Uploading Files to an AWS S3 Bucket

  3. Downloading Files from an AWS S3 Bucket

  4. Multi-Part File Transfer & Pre-Signed URLs

  5. Configuring Bucket Policies

  6. Setting up Buckets CORS Configuration

안내형 프로젝트 진행 방식

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

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

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