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How to use botoith Google Colab and AWS integration

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Release: 2024-08-21 06:18:32
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How to use botoith Google Colab and AWS integration

Have you ever thought that you want to confirm the operation of codes one by one when implementation of AWS Lambda?

You probably think it is pain to implement on AWS console because you have to run Lambda function and it costs each time.

Therefore, I will show you the solution of your worry.
It is implementation with Google Colab and AWS integration.

The steps is following:

Step 1: Store AWS configuration files on Google Drive

Operating system Default location and name of files
Linux and macOS ~/.aws/config
Operating system Default location and name of files
Linux and macOS ~/.aws/config

~/.aws/credentials
Windows %USERPROFILE%.awsconfig

%USERPROFILE%.awscredentials
~/.aws/credentials
Windows %USERPROFILE%.awsconfig

%USERPROFILE%.awscredentials


Resource

Location of the shared config and credentials files - AWS SDKs and Tools
from google.colab import drive
drive.mount('/content/drive')
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Step 2: Mount Google Drive

import os

config_file = "/content/drive/MyDrive/path/to/file/config"
os.environ['AWS_CONFIG_FILE'] = config_file

credentials_file = "/content/drive/MyDrive/path/to/file/credentials"
os.environ['AWS_SHARED_CREDENTIALS_FILE'] = credentials_file
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Step 3: AWS Authetication configuration

!pip install boto3
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Step 4: Install boto3


Caution

You should configure appropriate IAM Role to >operate AWS resources.
Don't forget it!

In this way, you can implement Lambda function simply and flexibly on Google Colab.
Please try it!

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source:dev.to
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