Скачать или смотреть EP 11 | Profit & Loss 💰 + DSA + NumPy Random

Profit & Loss ➕ DSA ➕ NumPy — a perfect combo for your data science prep!

Here’s the quick difference 👇

np.random.randint(a, b) → returns random integers between a and b.

np.random.random(size) → returns random floats between 0 and 1.

np.random.rand(dims) → also returns floats in [0,1) but takes shape as arguments (e.g. np.random.rand(2,3)).

np.random.seed(n) → sets the seed to make results reproducible (same random numbers every time).

This video also covers:
📈 Profit & Loss shortcuts
💻 DSA practice
⚙️ NumPy essentials for data science

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