Book Image

Python Essentials for AWS Cloud Developers

By : Serkan Sakinmaz
4 (1)
Book Image

Python Essentials for AWS Cloud Developers

4 (1)
By: Serkan Sakinmaz

Overview of this book

AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You’ll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you’ll be able to take your application development skills up a notch with AWS services and advance in your career.
Table of Contents (18 chapters)
1
Part 1: Python Installation and the Cloud
4
Part 2: A Deep Dive into AWS with Python
9
Part 3: Useful AWS Services to Implement Python

Creating a sample Lambda function in AWS

In this step, we are going to create a Lambda function that reads and prints a file from S3. In the previous chapter, we learned how to create the S3 bucket and Lambda function. Hence, we keep the explanation short here:

  1. We are going to copy a sample file to the S3 bucket:

Figure 5.11 – File in S3

  1. Create a Lambda function that reads the file from S3. I’ve called the Lambda function FileProcessing; however, you can give it any name that you prefer:

Figure 5.12 – Lambda function

  1. Once the Lambda is created, we paste the code to Lambda from the GitHub link under the image. In the code block, we are going to implement a simple function to read the content of the S3 bucket and print it. You can retrieve the code block from the GitHub page that I have shared after Figure 5.13. Broadly speaking, the s3.get_object method reads the file with the...