Merge pull request #723 from Quantum-Software-Development/FabianaCampanari-patch-1

Update README.md

Author: FabianaCampanari

README.md

@@ -1816,6 +1816,46 @@ After running Solver, you should get a solution like:
  <p align="center">
 <img src="https://github.com/user-attachments/assets/54f0b665-87df-4cda-b52d-0efa01b33580"/>
 
+<br>
+
+ ## Modulo in Random Number Simulations
+
+### Animated Visualization of the Remainder from Integer Division Used in Random Number Simulations.
+
+<br>
+
+<p align="center">
+<img src="https://github.com/FabianaCampanari/University-Python-Projects/assets/113218619/176fd74d-5755-4ac0-9b6e-08e6678cf251"/>
+
+
+The modulo operator (%) returns the remainder of a division. In simulations involving random numbers, it is commonly used to restrict or map large random outputs into a defined range.
+
+### [Why Use Modulo in Random Number Simulations]() ?
+
+In simulations, we often need random values within a specific interval — for example, simulating a dice roll (1 to 6) or selecting a random day of the week (0 to 6). Random number generators typically produce large numbers, so the modulo operation helps normalize these into the desired range.
+
+### [Example]():
+
+Imagine your random number generator gives you a number like 247. If you want to simulate a 6-sided dice roll:
+
+dice_roll = (247 % 6) + 1  # Adding 1 to shift range from [0–5] to [1–6]
+
+This ensures the result is always between 1 and 6.
+
+Simulation Use Case:
+
+In a banking simulation, you might simulate customer behavior across 7 days of the week. If a random function returns a number like 123456, you can use:
+
+day_of_week = 123456 % 7  # Result is between 0 and 6
+
+This maps any large number into the range of weekdays (e.g., 0 = Sunday, 6 = Saturday).
+
+<br>
+
+### [Summary]():
+
+In simulations, the % operator is a simple and efficient way to control the range of random outputs. It transforms raw random data into usable, context-specific values, essential for realistic and accurate simulation scenarios.
+
 
 
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