Book Image

Learning Python Application Development

By : Ninad Sathaye
Book Image

Learning Python Application Development

By: Ninad Sathaye

Overview of this book

Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications. From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.
Table of Contents (18 chapters)
Learning Python Application Development
Credits
Disclaimers
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Algorithm efficiency and complexity


An algorithm is a set of instructions to solve a particular problem. In this context, an algorithm can be a function or even a simple operation that adds two numbers. Let's understand two related terms: algorithm efficiency and algorithm complexity.

Algorithm efficiency

Algorithm efficiency indicates the computation resources consumed by an algorithm. Typically, the lower the resource consumption, the better the efficiency. The computational resources can mean several things. One can be talking about the runtime (CPU usage), the memory consumption (RAM or hard disk) or the network consumption, or a combination of these.

The application requirement determines which resource takes precedence over the others. For example, in a web application, the network usage can be more important than the disk space. For a scientific application, you might have all the memory you need but the runtime can be a pain in the neck, and so on. In this book, we will limit our discussion...