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F# 4.0 Design Patterns

You're reading from   F# 4.0 Design Patterns Solve complex problems with functional thinking

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884726
Length 318 pages
Edition 1st Edition
Languages
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Author (1):
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Gene Belitski Gene Belitski
Author Profile Icon Gene Belitski
Gene Belitski
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Table of Contents (14) Chapters Close

Preface 1. Begin Thinking Functionally 2. Dissecting F# Origins and Design FREE CHAPTER 3. Basic Functions 4. Basic Pattern Matching 5. Algebraic Data Types 6. Sequences - The Core of Data Processing Patterns 7. Advanced Techniques: Functions Revisited 8. Data Crunching – Data Transformation Patterns 9. More Data Crunching 10. Type Augmentation and Generic Computations 11. F# Expert Techniques 12. F# and OOP Principles/Design Patterns 13. Troubleshooting Functional Code

Addressing run-time problems

The mantra "if it compiles, it works" helps followers score amazingly well in time-to-market ratings for enterprise software development.

Taking Jet.com as an example of building green field e-commerce platform implementation, it has really condensed the path from zero to minimum viable product (MVP) in less than a year. Release of the platform to the production mode took place in a bit more than a year from the reception.

Does this mean following a functional-first approach is a software development silver bullet? Surely not on an absolute scale, although on a relative scale, the improvements are just great.

Why is the success not exhaustive? The thing is that the practice requires transition from gory ideas to mundane implementation issues. No matter how accurate our implementations are, there are always dark corners exist where unexpected problems may lurk.

Let me demonstrate this with a sample taken from F# enterprise development practice at Jet.com...

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