Runtime Cost of Dynamic Type Resolution
📖 Scenario: Imagine you are building a simple calculator that can add numbers. Sometimes you know the types of numbers at compile time, and sometimes you only know them at runtime. You want to see how using dynamic types affects the speed of your program.
🎯 Goal: You will create two methods: one using static typing and one using dynamic typing. Then you will measure and compare the time each method takes to add numbers many times. This will help you understand the runtime cost of dynamic type resolution.
📋 What You'll Learn
Create a method called
AddStatic that takes two int parameters and returns their sum.Create a method called
AddDynamic that takes two dynamic parameters and returns their sum.Create a loop that calls each method 1,000,000 times and measures the time taken using
Stopwatch.Print the elapsed time for both methods to compare.
💡 Why This Matters
🌍 Real World
Understanding the cost of dynamic typing helps developers write faster programs when performance matters.
💼 Career
Many jobs require optimizing code performance and understanding how language features affect speed.
Progress0 / 4 steps