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

Building an application with testing in mind


So, we now know that testing is important and we've also got to know about the different kinds of testing. But are there any important things that we need to do while building our application so that we are able to test it properly?

 

The answer to this question is a bit complicated. Although we can easily write the code in any particular manner we desire, and subject the code to testing through a number of procedures, for example, unit testing, it is still better to follow a general set of guidelines so that the code can be tested easily and efficiently. So, let's go ahead and take a look at the guidelines:

  • Every component should have one responsibility: For testing to be efficient and to cover all the possible code paths, every component should play a single responsibility. For example, take a look at the following code:
    def encrypt_password(password):
      """Encrypt the provided password.

      Keyword arguments:
      Password – The password...