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Currying and Partial Application in F#

The mathematical definition of a function can be denoted as a relationship between a set of inputs (the domain) and a single output (the co-domain). When a mathematical function is said to have only one parameter, it typically means that it takes a single value as input. However, in functional programming we build functions that theoretically “defy” this concept by taking in multiple input parameters. Traditionally, a mathematical function may only accept one input at a time.

  • F#
  • Functions
  • Code Sustainability
Monday, October 7, 2024 | 5 minutes Read
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Enhancing Code Maintainability with the F# 'Option' Type

A common case in programming is handling variables that might or might not hold a value. The C# language for example, uses Nullable<T> to represent such cases. This enables you to declare variables as nullables that would otherwise not be assigned to Nulls (e.g a float or an int). Handling these null references in languages like C# or Java can often lead to bugs. A clean and powerful solution to this problem is provided in F#: the Option type.

  • F#
  • Functions
  • Code Sustainability
Tuesday, September 17, 2024 | 4 minutes Read
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Mastering Python's Exceptional Complexity

Introduction Exception handling is a fundamental pillar of programming, and Python in particular, excels in this area given its robust and versatile error management system. A program terminates immediately it encounters an error, typically taking one of two forms: syntax errors and exceptions. In this article, we’ll demystify exceptions, distinguishing them from syntax errors, and explore the art of effectively managing them. Finally, we will look at some advanced techniques coupled with best practices for gracefully handling exceptions.

  • Python
  • Exceptions
  • Code Sustainability
Thursday, September 14, 2023 | 8 minutes Read
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