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

Object-oriented Python


Object-oriented programming (OOP) refers to the organization of code in a format where we are not concerned with the organization of methods, but rather we are concerned with the objects, their properties, and their behavior.

An object may represent any logical entity, such as an animal, vehicle, and furniture, and will contain properties and behaviors describing them.

The basic building block of an OOP-based language is the class that often groups the logically related entities together into a single unit. When we need to work with this unit, we create a new instance of this unit known as the class object, and manipulate the object using the public interfaces exposed by the object.

Object-oriented programming in Python differs quite a lot from what a person might see in C++ or Java, and these differences also affect the way in which we implement the different design patterns in Python. Let's take a look at how Python's object-oriented model can affect the implementation...