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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

Summary


This chapter wraps up the topic of data transformation patterns. Most of it is devoted to querying persisted data with the help of F# query expressions. You should be able to grasp the nuances of query work distribution between in-memory collections and the network-located data engine.

We also touched the important issue of data parsing, demonstrating the handful of simple patterns that allow you to ingest arbitrary Excel files with the helping hand of F# type providers, which will be further covered in Chapter 11, F# Expert Techniques.

In the next chapter, I will concentrate on dual patterns of type specialization (augmentation) and type generalization in F#.

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