Book Image

Software Architecture with Python

By : Anand Balachandran Pillai
Book Image

Software Architecture with Python

By: Anand Balachandran Pillai

Overview of this book

This book starts by explaining how Python fits into an application's architecture. As you move along, you will get to grips with architecturally significant demands and how to determine them. Later, you’ll gain a complete understanding of the different architectural quality requirements for building a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will also use various techniques such as incorporating DevOps, continuous integration, and more to make your application robust. You will discover when and when not to use object orientation in your applications, and design scalable applications. The focus is on building the business logic based on the business process documentation, and understanding which frameworks to use and when to use them. The book also covers some important patterns that should be taken into account while solving design problems, as well as those in relatively new domains such as the Cloud. By the end of this book, you will have understood the ins and outs of Python so that you can make critical design decisions that not just live up to but also surpassyour clients’ expectations.
Table of Contents (18 chapters)
Software Architecture with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Programming for performance – data structures


We've looked at the definition of performance, measuring performance complexity, and the different tools for measuring program performance. We've also gained insights by profiling code for statistics, memory usage, and the like.

We also saw a couple of examples of program optimization to improve the time performance of the code.

In this section, we will take a look at common Python data structures and discuss what their best and worst performance scenarios are and also discuss some situations of where they are an ideal fit and where they may not be the best choice.

Mutable containers – lists, dictionaries, and sets

Lists, dictionaries, and sets are the most popular and useful mutable containers in Python.

Lists are appropriate for object access via a known index. Dictionaries provide a near constant time look-up for objects with known keys. Sets are useful to keep groups of items while dropping duplicates and finding their difference, intersection...