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Python Essentials for AWS Cloud Developers

Python Essentials for AWS Cloud Developers

By : Serkan Sakinmaz
4.9 (10)
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Python Essentials for AWS Cloud Developers

Python Essentials for AWS Cloud Developers

4.9 (10)
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)
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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

What is Lambda?

Lambda is a computing service that allows you to run Python, Java, Node.js, Ruby, .NET, and Go code without provisioning and managing any server. In AWS, it is one of the most used services in the AWS stack. The only thing you need to do is develop and run your code. Lambda also has some advantages in terms of cost.

Lambda is a container that is created by AWS in order to execute your application. When you create a Lambda function, AWS creates this container for you. Hence, you don’t need to provision an instance and install the compiler in the container. The only responsibility is to run your code when selecting Lambda.

The advantages of Lambda

The advantages of Lambda are as follows:

  • There’s no need to provision a server
  • It is a pay-as-you-go model
  • It supports different runtimes such as Python, Java, and C#
  • There’s no need to install a software development kit, since it is ready to develop
  • It has scalability features...
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Python Essentials for AWS Cloud Developers
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