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Hands-On Design Patterns and Best Practices with Julia

You're reading from   Hands-On Design Patterns and Best Practices with Julia Proven solutions to common problems in software design for Julia 1.x

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838648817
Length 532 pages
Edition 1st Edition
Languages
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Author (1):
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Tom Kwong Tom Kwong
Author Profile Icon Tom Kwong
Tom Kwong
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Getting Started with Design Patterns
2. Design Patterns and Related Principles FREE CHAPTER 3. Section 2: Julia Fundamentals
4. Modules, Packages, and Data Type Concepts 5. Designing Functions and Interfaces 6. Macros and Metaprogramming Techniques 7. Section 3: Implementing Design Patterns
8. Reusability Patterns 9. Performance Patterns 10. Maintainability Patterns 11. Robustness Patterns 12. Miscellaneous Patterns 13. Anti-Patterns 14. Traditional Object-Oriented Patterns 15. Section 4: Advanced Topics
16. Inheritance and Variance 17. Assessments 18. Other Books You May Enjoy

Performance Patterns

This chapter includes patterns related to improving system performance. High performance is a major requirement in scientific computing, artificial intelligence, machine learning, and big data processing. Why is that? 

In the past decade, data has grown almost exponentially thanks to the scalability from the cloud. Think about the Internet of Things (IoT). Sensors are all around us—home security systems, personal assistants, and even room temperature controls are collecting tons of data continuously. Furthermore, the data being collected is stored and analyzed by companies that want to build smarter products. Use cases such as these demand more computing power and speed.

I once debated with a colleague about the use of cloud technologies for solving computationally intensive problems. Computing resources are definitely available in the cloud...

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