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 an AWS Glue service

In this section, we are going to create an AWS Glue service. Let’s follow the instructions step by step:

  1. Type AWS Glue in the AWS Management Console search bar and click the AWS Glue result that appears:

Figure 11.12 – Console search

  1. Click Jobs on the left-hand side:

Figure 11.13 – Glue job

  1. In the Create job section, select Visual with a source and target. This will create a visual interface and predefined script in order to convert from a CSV to a JSON file:

Figure 11.14 – Create job

  1. After clicking Create on the right side of the panel, you will see the visual editor:

Figure 11.15 – Visual editor

  1. Click S3 bucket under Data source - S3 bucket and you will see the data source details on the right side. It consists of some details on how to parse the source data...