Probability & Events in Python 🎲
Today I explored the basics of probability — the math of uncertainty!
🔹 Key Concepts:
• Probability Formula → P(E) = Favorable outcomes / Total outcomes
• Events:
Independent → coin tosses 🎯
Dependent → drawing cards without replacement 🃏
Mutually Exclusive → can’t happen together (odd vs even on a die).
🔹 Python Practice:
import random
Simulate coin toss
outcomes = ["H", "T"]
print(random.choice(outcomes))
⚡ Fun Facts:
• Rolling a 6 on a fair die has a probability of 1/6 ≈ 16.67%.
• Probability powers AI, insurance, weather forecasting & even Netflix recommendations! 📈
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