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

Summary


In this chapter, we took a look at how testing forms an important aspect of the application development project and why it is necessary. Here, we took a look at the different types of testing that are usually employed during the development life cycle and what the uses of different techniques are. We then moved on to taking a look at how we can craft our code in a way that makes testing an easy and effective process. Moving on, we started digging deeper into the Python language to see what facilities it provides for writing up tests. Here, we discovered how to use the Python unittest library to write unit tests, and how to run them. Moving on, we took a look at how we can utilize testing frameworks like pytest to write test cases for our demo application, Bugzot, and how to run these test cases. Once familiar with the art of writing test cases, we tried to understand why we need to automate the running of test cases and how we can achieve that.

With the knowledge of testing the code...