Uploading files to aws s3 using python and boto3
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certainly! amazon s3 (simple storage service) is a highly scalable object storage service offered by aws (amazon web services). using python, you can interact with s3 using the `boto3` library, which is the official aws sdk for python.
in this tutorial, we will cover the following steps:
1. setting up your aws account and iam user.
2. installing the `boto3` library.
3. writing python code to upload files to s3.
step 1: set up your aws account and iam user
1. **create an aws account**: if you don’t have an aws account, you can create one [here](https://aws.amazon.com/).
2. **create an iam user**:
- go to the [iam management console](https://console.aws.amazon.com/iam/home).
- click on "users" and then "add user".
- enter a username and select "programmatic access" as the access type.
- set permissions by attaching existing policies (e.g., `amazons3fullaccess` for full access to s3) or creating a custom policy.
- complete the steps and save the access key id and secret access key.
step 2: install the `boto3` library
you can install `boto3` using pip. open your terminal or command prompt and run:
step 3: configure aws credentials
you can configure your aws credentials in several ways. the easiest method is to create a file named `credentials` in the `~/.aws/` directory (linux/mac) or `c:\users\username\.aws\` directory (windows).
create a file named `credentials` with the following content:
step 4: upload files to s3
now that you have everything set up, you can write a python script to upload files to s3.
here’s a simple example:
explanation of the code:
- **boto3.client('s3')**: this creates a low-level service client for amazon s3.
- **upload_file**: this method uploads a file to the specified bucket.
- **error handling**: the code includes basic error handling to catch common errors like missing files or credentials.
running the script
1. save the script in a python file, e.g., `upload_to_s3.py`.
2. r ...
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