# Introduction to NumPy / Pandas / scikit-learn — NumPy / Pandas / scikit-learn

Source: https://www.geekswithgeeks.com/en/numpy-pandas-sklearn/numpy-pandas-sklearn-01

> Apply foundations 1 in NumPy / Pandas / scikit-learn.

## Understand Introduction to NumPy / Pandas / scikit-learn

In **NumPy / Pandas / scikit-learn**, use foundations 1 to connect the problem, constraints, and measurable outcome before selecting an approach.

## Practise the workflow

Start small, verify one result, and record what the evidence changes.

![A four-stage learning workflow.](assets/figures/numpy-pandas-sklearn/section-1-map.svg) — Figure 1.1 — Understand, act, verify, improve.

## A useful comparison

Think of this as a route plan: each step should lead to a checked destination.

Check your reasoning.

**Quiz:** What should come before choosing an approach?

- [x] A clear goal and constraints.
- [ ] An unverified copy.
- [ ] No measurement.

*Answer:* A clear goal and constraints.. Evidence makes a decision reviewable.