Book Image

Python Programming Blueprints

By : Daniel Furtado, Marcus Pennington
Book Image

Python Programming Blueprints

By: Daniel Furtado, Marcus Pennington

Overview of this book

Python is a very powerful, high-level, object-oriented programming language. It's known for its simplicity and huge community support. Python Programming Blueprints will help you build useful, real-world applications using Python. In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure. We will familiarize ourselves with the associated software stack and master asynchronous features in Python. We will build a weather application using command-line parsing. We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API. The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way. We will also focus on web development by using the famous Django framework to create an online game store. We will then create a web-based messenger using the new Nameko microservice framework. We will cover topics like authenticating users and, storing messages in Redis. By the end of the book, you will have gained hands-on experience in coding with Python.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Dedication
Contributors
Packt Upsell
Preface
Index

Chapter 9. Notification Serverless Application

In this chapter, we are going to explore AWS Lambda Functions and AWS API Gateway. AWS Lambda enables us to create serverless functions. Serverless doesn't mean that it is without a server; in reality, it means that these functions don't require the DevOps overhead that you would have if you were running the application on, for example, an EC2 instance.

Serverless architecture is not the silver bullet or the solution to all the problems, but there are many advantages, such as pricing, the fact that almost no DevOps is required, and support for different programming languages.

In the case of Python, tools like Zappa and the microframework for AWS Chalice, which is also developed by Amazon, make creating and deploying serverless functions incredibly easy.

In this chapter you will learn how to:

  • Create a service using Flask framework
  • Install and configure the AWS CLI
  • Use the CLI to create S3 buckets and upload files
  • Install and configure Zappa
  • Deploy an...