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Learning Python Application Development

You're reading from   Learning Python Application Development Take Python beyond scripting to build robust, reusable, and efficient applications

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785889196
Length 454 pages
Edition 1st Edition
Languages
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Author (1):
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Ninad Sathaye Ninad Sathaye
Author Profile Icon Ninad Sathaye
Ninad Sathaye
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Table of Contents (12) Chapters Close

Preface 1. Developing Simple Applications FREE CHAPTER 2. Dealing with Exceptions 3. Modularize, Package, Deploy! 4. Documentation and Best Practices 5. Unit Testing and Refactoring 6. Design Patterns 7. Performance – Identifying Bottlenecks 8. Improving Performance – Part One 9. Improving Performance – Part Two, NumPy and Parallelization 10. Simple GUI Applications 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...

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