NMA tutorials use Jupyter notebooks. Each day has a morning tutorial (2-3 hours) and afternoon projects. Python comfort = more time for the cool science.

The NMA stack you'll use:
• numpy — arrays and math (you know this!)
• matplotlib — plotting data and results
• scipy — statistics and signal processing
• sklearn — machine learning (PCA, regression, decoding)
• torch — deep learning (Week 3 onwards)

# The NMA notebook import block — you'll see this every day
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
from sklearn.decomposition import PCA
from sklearn.linear_model import LinearRegression

print('Ready for NMA!')

Your strengths going in:
✓ Python basics and numpy fluency
✓ Vectors, matrices, dot products
✓ Normal distribution, p-values
✓ LIF neuron model intuition
✓ Linear regression and gradient descent
✓ PCA for neural data

🦌 Ilya says: You've completed NeuroQuest. You are READY. NMA will push you hard — but now you have the foundation. Go be brilliant!