How can I troubleshoot the issue of “modulenotfounderror:no module named ‘boto3’?

155    Asked by Daminidas in AWS , Asked on Jun 10, 2024

 I am a data engineer and I am currently working on a particular project which involves the uploading of data from my local machine to an Amazon S3 Bucket. I have written a Python-based script using the Boto3 library to handle the Interactions with the AWS. However, when I ran the script, I encountered an error message which was stating that modulenotfounderror:no module named ‘boto3’. How can I troubleshoot and resolve this particular issue? 

Answered by Charles Parr

 In the context of AWS, here are the steps given to troubleshoot this particular issue:-

Verify the virtual environment

You should try to ensure that you are working within the appropriate virtual environment where you intended to install the “boto3”.

Checking if Boto 3 is installed

Now you should also check if you have installed the Boto3 library or not previously in your particular virtual environment.

Install Boto3

If you have now installed the boto 3 library previously then you would need to install it first by using “pip”

  “pip install boto 3”

Verifying the installation

Now you should try to confirm that the boto2 has been installed correctly or not.

  “pip show Boto3”

Running your script

After completing the process of ensuring the installation of Boto 3, you should try to run your script again within the activated virtual environment:-

“python upload_to_s3.py” 
Here is an example coding given of how you can verify the installation:-
# test_boto3.py
Import boto3
Def list_s3_buckets():
    # Create a session using your AWS credentials
    Session = boto3.Session(
        Aws_access_key_id=’YOUR_AWS_ACCESS_KEY_ID’,
        Aws_secret_access_key=’YOUR_AWS_SECRET_ACCESS_KEY’,
        Region_name=’YOUR_AWS_REGION’
    )
    # Create an S3 client
    S3 = session.client(‘s3’)
    # List all S3 buckets
    Response = s3.list_buckets()
    Print(‘Existing buckets:’)
    For bucket in response[‘Buckets’]:
        Print(f’ {bucket[“Name”]}’)
If __name__ == “__main__”:
    List_s3_buckets()
Here is the Java coding given of How you can upload a file to S3:-
Import com.amazonaws.auth.AWSStaticCredentialsProvider;
Import com.amazonaws.auth.BasicAWSCredentials;
Import com.amazonaws.regions.Regions;
Import com.amazonaws.services.s3.AmazonS3;
Import com.amazonaws.services.s3.AmazonS3ClientBuilder;
Import com.amazonaws.services.s3.model.PutObjectRequest;
Import java.io.File;
Public class S3UploadExample {
    Public static void main(String[] args) {
        // Replace with your actual AWS access key and secret key
        String accessKey = “YOUR_AWS_ACCESS_KEY”;
        String secretKey = “YOUR_AWS_SECRET_KEY”;
        // Replace with your actual S3 bucket name and region
        String bucketName = “YOUR_BUCKET_NAME”;
        Regions clientRegion = Regions.US_EAST_1;
        // Replace with the file
Here is the Python-based coding given of how you can upload a file to S3:-
Import boto3
From botocore.exceptions import NoCredentialsError, PartialCredentialsError
Def upload_to_s3(file_name, bucket, object_name=None):
    # If S3 object_name was not specified, use file_name
    If object_name is None:
        Object_name = file_name
    # Initialize a session using Amazon S3
    S3_client = boto3.client(‘s3’, aws_access_key_id=’YOUR_AWS_ACCESS_KEY_ID’,
                             Aws_secret_access_key=’YOUR_AWS_SECRET_ACCESS_KEY’,
                             Region_name=’YOUR_AWS_REGION’)
    Try:
        # Upload the file
        Response = s3_client.upload_file(file_name, bucket, object_name)
        Print(f”File {file_name} uploaded to {bucket}/{object_name}”)
    Except FileNotFoundError:
        Print(f”The file {file_name} was not found”)
    Except NoCredentialsError:
        Print(“Credentials not available”)
    Except PartialCredentialsError:
        Print(“Incomplete credentials provided”)
    Except Exception as e:
        Print(f”An error occurred: {str€}”)
If __name__ == “__main__”:
    # Replace ‘your-file.txt’, ‘your-bucket-name’, and ‘your-object-name’ with your parameters
    Upload_to_s3(‘your-file.txt’, ‘your-bucket-name’, ‘your-object-name’)

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