Intro to Scientific Computing

Intro to Scientific Computing

Overview

• Scientific computing fundamentals
• Python tools for numerical methods
• Best practices for reproducible research

Python Libraries

import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats

# Example: Linear regression
x = np.linspace(0, 10, 100)
y = 2*x + np.random.normal(0, 1, 100)