04-01: NumPy Array Explorer¶

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Six interactive demonstrations of NumPy fundamentals: array creation, vectorised arithmetic (BDT→USD pricing), slicing/boolean indexing, statistical functions, reshape/broadcasting, and random number generation.

Topics covered: np.array() · np.arange() · np.linspace() · vectorised ops · boolean indexing · np.mean/median/std · reshape() · broadcasting · np.random

Difficulty: ⭐⭐ Intermediate

Requirements¶

pip install numpy

How to Run¶

python main.py

Sample Output (Demo 2 — Vectorised Arithmetic)¶

  BDT prices : [  110   550   220   880  1320]
  USD prices : [  1.    5.    2.    8.   12. ]

  a + b  = [11 22 33 44]
  b ** 2 = [100 400 900 1600]

Key Concepts Practised¶

Concept	Where used
`np.arange(start, stop, step)`	`demo_creation()`
`array / scalar` (vectorised)	BDT→USD conversion
`arr[arr > 30]` (boolean indexing)	`demo_slicing()`
`matrix[:, 2]` (column select)	2D indexing
`flat.reshape(3, 4)`	`demo_reshape()`
`matrix + row_bonus` (broadcast)	Broadcasting rules
`np.random.seed(42)`	Reproducible results