Upload an HTML file to S3
When the Streets Operations manager heard of what Sam has been working on, he asked her to build him a dashboard of Get It Done requests.
He wants to use the dashboard to staff and schedule his team accordingly.
Sam generated a nice dashboard html file with the Python bokeh charting library:
She wants to serve it as a website, providing an interactive dashboard to members of Streets Operations.
Letting S3 serve the dashboard as a site lets her write a script that continuously updates the generated HTML file and keeps the Streets Operations team updated on the latest requests.
She has already initialized the boto3 S3 client and assigned it to the s3 variable.
This is a part of the course
“Introduction to AWS Boto in Python”
Exercise instructions
- Upload the
'lines.html'file to'datacamp-public'bucket. - Specify the proper content type for the uploaded file.
- Specify that the file should be public.
- Print the Public Object URL for the new file.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Upload the lines.html file to S3
s3.upload_file(Filename='lines.html',
# Set the bucket name
____='____', Key='index.html',
# Configure uploaded file
ExtraArgs = {
# Set proper content type
'____':'text/html',
# Set proper ACL
'____': '____'})
# Print the S3 Public Object URL for the new file.
print("http://{}.s3.____.com/{}".format('datacamp-public', 'index.html'))This exercise is part of the course
Introduction to AWS Boto in Python
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
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!
Exercise 1: Keeping objects secureExercise 2: Making an object publicExercise 3: Uploading a public reportExercise 4: Making multiple files publicExercise 5: Accessing private objects in S3Exercise 6: Generating a presigned URLExercise 7: Opening a private fileExercise 8: Sharing files through a websiteExercise 9: Generate HTML table from PandasExercise 10: Upload an HTML file to S3Exercise 11: Case Study: Generating a Report RepositoryExercise 12: Combine daily requests for FebruaryExercise 13: Upload aggregated reports for FebruaryExercise 14: Update index to include FebruaryExercise 15: Upload the new indexWhat is DataCamp?
Learn the data skills you need online at your own pace—from non-coding essentials to data science and machine learning.