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

Chapter 7. Performance – Identifying Bottlenecks

So far, you have learned various ways to make the application robust and accommodating for new features. Now, let's discuss techniques to improve the application performance. This broad topic is split into a series of three chapters—this is the first one in this series. It will cover the following topics:

  • Basic ways to clock the application runtime

  • How to identify the runtime performance bottlenecks by profiling the code

  • Basic memory profiling with the memory_profiler package

  • Big O notation for the computational complexity

To understand these concepts better, we will develop an interesting game scenario called Gold Hunt. You will soon realize that the application runs very slow when you increase the input data size. This chapter will elaborate on techniques to pinpoint such problems.