DataCamp is an online learning platform that allows users to build and develop programming and data science skills from browser-based development environments. DataCamp offers a wide variety of tutorials, courses, and educational resources that engage students in an interactive interface to learn about coding.
Read below to learn how to use DataCamp with Filebase.
Prerequisites:
1. to your DataCamp dashboard.
From the dashboard, select ‘Workspace’ from the top navigation menu bar.
2. Select a workspace you’d like to connect to Filebase.
This example uses a Python-based workspace:
3. Then select ‘Integrations’ from the left sidebar navigation menu.
4. Select ‘Create Integration’:
5. Select ‘Environment Variables’:
6. Enter two variables, FILEBASE_ACCESS_KEY and FILEBASE_SECRET_KEY.
For the value of these variables, enter your Filebase Access Key and Filebase Secret Key. Name this integration ‘Filebase Keys’. Then select ‘Create’.
7. Copy the provided integration code, then select ‘Next’:
8. Select ‘Connect’ when prompted to connect your workspace to your newly created integration:
9. Next, select ‘Add code’ at the bottom of your workspace to add a new piece of code.
10. To list all the buckets on your Filebase account, enter the following piece of code:
import os
import boto3
filebase_access_key = os.environ["FILEBASE_ACCESS_KEY"]
filebase_secret_key = os.environ["FILEBASE_SECRET_KEY"]
s3 = boto3.client('s3',
endpoint_url='https://s3.filebase.com',
aws_access_key_id=filebase_access_key,
aws_secret_access_key=filebase_secret_key)
response = s3.list_buckets()
# Output the bucket names
print('Existing buckets:')
for bucket in response['Buckets']:
print(f' {bucket["Name"]}')
11. Then select ‘Run’:
Your Filebase bucket names should be returned:
12. To create a new Filebase bucket, use the following piece of code:
