10 AWS Services for Python Engineers: Simplify Your Development and Deployment Processes

As a Python engineer, there are many AWS services that you can use to build scalable and reliable applications. Here are 10 AWS services that are particularly useful for Python engineers:

1.AWS Lambda: AWS Lambda is a serverless computing service that allows you to run your Python code in response to events, such as changes to data in an S3 bucket or a new message in an SQS queue. With Lambda, you don’t need to worry about provisioning or managing servers — AWS takes care of it all for you. You can write your Lambda function in Python and then use the AWS Management Console or AWS CLI to create and manage your Lambda functions.

2. Amazon S3: Amazon S3 is a highly scalable object storage service that allows you to store and retrieve any amount of data from anywhere on the web. You can easily use the Boto3 Python library to interact with S3 from your Python code, enabling you to store and retrieve data from your Python applications. For example, you could use S3 to store and retrieve user-uploaded files in a web application, or to store and retrieve data for a machine learning model.

3. Database:

Amazon RDS: Amazon RDS is a managed relational database service that supports multiple database engines, including MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. You can use the AWS SDK for Python (Boto3) to interact with RDS from your Python code, enabling you to easily create, modify, and…