1. Apprendre
    2. /
  2. Cours
    3. /
  3. Introduction to AWS Boto in Python
  • 1

    Putting Files in the Cloud!

    Gratuit

    Embark on the world of cloud technology! From learning how AWS works to creating S3 buckets and uploading files to them. You will master the basics of setting up AWS and uploading files to the cloud!

  • 2

    Sharing Files Securely

    Continue your journey in mastering AWS by learning how to upload and share files securely. You will learn how set files to be public or private, and cap off what you learned by generating web-based reports!

  • 3

    Reporting and Notifying!

    Next, you will learn how to automate sharing your findings with the world by building notification triggers for your analysis! You will learn how to harness AWS to send SMS and email notifications to users and cap off what you learned by making custom notifications depending on a user's needs.

  • 4

    Pattern Rekognition

    Finally, you will go beyond uploading, sharing and notifying into rekognizing using AWS Rekognition and other AWS machine learning services to recognize cats, translate language and detect sentiment. You will be capping off your learning journey by applying a real-world use case that mixes everything you've learned!

Initializing

Exercice

Putting files in the cloud

Now that Sam knows how to create buckets, she is ready to automate a tedious part of her job. Right now, she has to download the latest files from the City of San Diego Open Data Portal, aggregate them, and share them with management.

Sharing an analysis with others is a common, yet tedious data science task. Automating these steps will allow Sam to focus on cooler projects, while keeping her management happy.

In the last lesson, Sam has already created the gid-staging bucket. She has already downloaded the files from the URLs, analyzed them, and wrote the results to final_report.csv.

She has also already initialized the boto3 S3 client and assigned it to the s3 variable.

Help Sam upload final_report.csv to the gid-staging bucket!

Instructions

100 XP
  • Upload 'final_report.csv' to the 'gid-staging' bucket with the key '2019/final_report_01_01.csv'.
  • Get the object metadata and store it in response.
  • Print the object size in bytes.