python aws tutorial pdf
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amazon web services (aws) is a leading cloud services platform that offers a wide range of services, including computing power, storage, databases, machine learning, and more. in this tutorial, we will explore how to interact with aws services using python. we'll cover key concepts and provide practical examples to help you get started with aws using the boto3 library.
boto3 is the official aws sdk for python. you can install it using pip:
to interact with aws services, you need to configure your aws credentials. create a file named credentials in the ~/.aws/ directory with the following content:
replace your_access_key and your_secret_key with your aws access key and secret key, which can be obtained from the aws management console.
let's start by creating an s3 bucket using boto3. s3 is a scalable object storage service in aws.
replace your-unique-bucket-name with a globally unique name for your bucket.
now, let's upload a file to the s3 bucket we created.
replace path/to/your/file.txt with the actual path of the file you want to upload.
you can list the objects in your s3 bucket using the following code:
this tutorial covered the basics of interacting with aws using python and boto3. you learned how to set up your environment, create an s3 bucket, upload a file, and list objects in the bucket. this is just the beginning – aws offers a plethora of services that you can integrate into your python applications.
explore the boto3 documentation and aws documentation to discover more services and advanced features. happy coding with python and aws!
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