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

Technical requirements


The code listings in this book can be found under chapter12 directory at https://github.com/PacktPublishing/Hands-On-Enterprise-Application-Development-with-Python.

The code samples can be cloned by running the following command:

git clone https://github.com/PacktPublishing/Hands-On-Enterprise-Application-Development-with-Python

The requirements for the Python-based application can be installed by executing the following command on your Terminal:

pip install -r requirements.txt

Beyond the usual Python-based requirements, the code samples in this chapter need to have the following additional dependencies to work correctly:

  • Docker: The docker client is required to run some of the tools that we will be using inside the repository. The installation instructions for dockerrelated to your platform can be found at https://docs.docker.com/install/.
  • Jaeger all-in-one image: For our distributed tracing examples, we will be utilizing Jaeger, which provides us with an Opentracing compatible...