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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

Further reading


In the series of the three chapters on performance, we covered several important aspects. The things learned here will help you with the majority of common application performance enhancement tasks. Where do we go from here? There are some other important topics that you can explore, among those are JIT compilers and Graphics Processing Unit (GPU) programming. This section aims at providing some basic information on these two topics. You can follow the links provided here for further understanding.

JIT compilers

Python is an interpreted language. In simple terms, it means that the code is parsed and executed directly without involving any code compilation. Although this offers a great deal of flexibility, the program typically runs slower.

In high-level programming languages such as C++, the code is compiled ahead of time or before the execution. Generally speaking, a compiled program (C++) runs faster compared to the equivalent interpreted program (Python).

Thus, we have an...

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