Book Image

Hands-On Enterprise Application Development with Python

By : Saurabh Badhwar
Book Image

Hands-On Enterprise Application Development with Python

By: Saurabh Badhwar

Overview of this book

Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python.
Table of Contents (24 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Chapter 4. Dealing with Concurrency

As we saw in the previous chapter, when working on any large-scale enterprise application, we deal with a lot of data. This data is processed in a synchronous manner and the results are sent only after the data processing for a particular process is complete. This kind of model is absolutely fine when the data being processed in individual requests is not large. But consider a situation where a lot of data needs to be processed before a response is generated. What happens then? The answer is, slow application response times.

We need a better solution. A solution that will allow us to process data in parallel, resulting in faster application responses. But how do we achieve this? The answer to the question is concurrency.

This chapter will introduce techniques of employing concurrency in your applications and how it can be leveraged to reduce the response times of your application.

During the course of the chapter, we will see how we can spawn multiple processes...