import numpy as np
df.groupby('label').mean()
model.fit(X_train, y_train)
loss.backward()
for epoch in range(100):
plt.scatter(X, y)
accuracy_score(y_true, y_pred)
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import pandas as pd import numpy as np   # Load dataset df = pd.read_csv('data.csv') df.head()
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Python for Data Science: A Complete Beginner's Roadmap

From installing your first environment to writing production-quality data pipelines — a comprehensive guide that maps the entire Python data ecosystem, covering NumPy, Pandas, Matplotlib, and the tools that power modern data work.

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