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.

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Table of Contents (18 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
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Download the color images
Conventions used
Get in touch
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1
Part 1: Python Installation and the Cloud
Part 1: Python Installation and the Cloud
Free Chapter
2
Chapter 1: Using Python on AWS
Chapter 1: Using Python on AWS
What is the cloud?
Understanding the advantages of the cloud
Installing Python
Installing PyCharm
Creating a new project
Summary
3
Chapter 2: Creating an AWS Account
Chapter 2: Creating an AWS Account
Creating an AWS account
Summary
4
Part 2: A Deep Dive into AWS with Python
Part 2: A Deep Dive into AWS with Python
5
Chapter 3: Cloud Computing with Lambda
Chapter 3: Cloud Computing with Lambda
Cloud computing
What is Lambda?
A sample application with Lambda
Important configurations in Lambda
A Lambda skeleton
Lambda returning value
Logging in Lambda
Filing a metadata parser application with Lambda and S3
Summary
6
Chapter 4: Running Python Applications on EC2
Chapter 4: Running Python Applications on EC2
What is EC2?
EC2 purchasing options
EC2 instance types
Provisioning an EC2 server
Connecting to an EC2 server
Running a simple Python application on an EC2 server
Processing a CSV file with a Python application on an EC2 server
The AWS CLI
Summary
7
Chapter 5: Running Python Applications with PyCharm
Chapter 5: Running Python Applications with PyCharm
Installing the AWS Toolkit
Configuring the AWS Toolkit
Creating a sample Lambda function in AWS
Running an AWS Lambda function using the AWS Toolkit
Summary
8
Chapter 6: Deploying Python Applications on Elastic Beanstalk
Chapter 6: Deploying Python Applications on Elastic Beanstalk
What is Elastic Beanstalk?
Creating a Python web application
Deploying a Python web application on Elastic Beanstalk
Summary
9
Part 3: Useful AWS Services to Implement Python
Part 3: Useful AWS Services to Implement Python
10
Chapter 7: Monitoring Applications via CloudWatch
Chapter 7: Monitoring Applications via CloudWatch
What is CloudWatch?
Collecting Lambda logs via CloudWatch
CloudWatch Log Insights
CloudWatch alarms
Summary
11
Chapter 8: Database Operations with RDS
Chapter 8: Database Operations with RDS
Features of RDS
Provisioning RDS
Connecting to the RDS
Creating a table in the database
Database operations with Python
Secrets Manager
Summary
12
Chapter 9: Creating an API in AWS
Chapter 9: Creating an API in AWS
What is API Gateway?
Creating an API using API Gateway
Summary
13
Chapter 10: Using Python with NoSQL (DynamoDB)
Chapter 10: Using Python with NoSQL (DynamoDB)
What is a NoSQL database?
What is a DynamoDB database?
DynamoDB operations with Python
Summary
14
Chapter 11: Using Python with Glue
Chapter 11: Using Python with Glue
What is the AWS Glue service?
Creating an S3 sample file
Defining the permissions for a Glue job
Creating an AWS Glue service
Summary
15
Chapter 12: Reference Project on AWS
Chapter 12: Reference Project on AWS
What have we learned?
Introducing the Python application
The coding of the Python application
Summary
16
Index
Index
Why subscribe?
17
Other Books You May Enjoy
Other Books You May Enjoy
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What this book covers

Chapter 1, Using Python on AWS. This chapter will teach you how to install and use the Python IDE and also understand the advantages of AWS Cloud.

Chapter 2, Creating an AWS Account. To start with cloud computing, AWS requires an account to implement Python programming. In this chapter, you will learn how to create an AWS account.

Chapter 3, Cloud Computing with Lambda. Lambda is a very effective way to implement Python functions. The chapter will help you to get into the Lambda service and will show how to implement a code.

Chapter 4, Running Python Applications on EC2. EC2 is one of the key services that you can provision on the cloud. The chapter will help you to get into the EC2 service and will show how to provision a server and deploy the Python application afterward.

Chapter 5, Running Python Applications with PyCharm. Debugging Python applications is important for testing the application. The chapter will help you to debug Python applications locally in an easy way.

Chapter 6, Deploying Python Applications on Elastic Beanstalk. Elastic Beanstalk is a useful service that allows the deployment of applications. The chapter will help you to get into the Elastic Beanstalk service and will show how to create a service and deploy the Python application afterward.

Chapter 7, Monitoring Applications via CloudWatch. CloudWatch allows you to monitor your application in AWS. The chapter will help you to get into the CloudWatch service and will show how to monitor the Python application.

Chapter 8, Database Operations with RDS. RDS is used to create a database in AWS. The chapter will help you to get into the RDS service and will show how to create a database and make SQL operations via Python applications.

Chapter 9, Creating an API in AWS. An API is an important interface for an application. The chapter will help you create an API in AWS and publish the API to access the Python application.

Chapter 10, Using Python with NoSQL (DynamoDB). NoSQL is useful to store unstructured and semi-structured data. The chapter will help you to create a NoSQL database and make SQL operations on DynamoDB.

Chapter 11, Using Python with Glue. Glue is a serverless data integration service in AWS. The chapter will help you to embed Python applications into the Glue service.

Chapter 12, Reference Project on AWS. Implementing a sample project is the best way to learn about application programming. The chapter will help you to implement sample AWS projects with best practices.

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