Update README.md

README.md

@@ -1 +1,23 @@
-# PoissonDistributionModel
+# Poisson Probability Mass Function (PMF) Calculator
+
+This Python code calculates and plots the Probability Mass Function (PMF) for a Poisson distribution. It allows you to specify the number of events (k) and the rate at which the events occur (lambda).
+
+## Code Description
+
+The code consists of a Python function called `poisson_pmf(k, lambda_val)` that takes two parameters:
+
+1. `k`: Number of events to occur at the same time.
+2. `lambda_val`: Lambda value, which represents the rate at which the events occur.
+
+The function performs the following tasks:
+
+1. Calculates the Poisson PMF for a given `k` and `lambda_val`.
+2. Prints out the probability that `k` events occur at the same time with the specified lambda value.
+3. Plots the PMF from 0 to `k` occurrences using Matplotlib.
+
+## Example Usage
+
+Here's an example of how to use the function:
+
+```python
+poisson_pmf(k=10, lambda_val=5)