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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

Recursive function basics


In this chapter, I want to introduce you to the basics of recursive functions, leaving more detailed consideration for the more advanced contexts. At this point, I want to show how the F# default treatment of functions as non-recursive differs from a forced one when the function is explicitly declared recursive using the let binding modifier, rec.

Take a look at the following far-fetched snippet (Ch3_8.fsx):

let cutter s = 
  let cut s = 
    printfn "imitator cut: %s" s 
  let cut (s: string) = 
    if s.Length > 0 then 
      printfn "real cut: %s" s 
      cut s.[1..] 
    else 
      printfn "finished cutting" 
  cut s 

The cutter function here provides a non-empty string that's supposed to cut it from the left-hand side, symbol by symbol, until the argument is gone. Within the cutter body, there are two definitions of the cut internal function, of which the second definition apparently shadows the first. Also, it's important that within the second cut definition...

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