Скачать или смотреть Day 9 – NumPy Array Useful Functions | 15 Days NumPy Challenge

Day 9 – NumPy Array Useful Functions | 15 Days NumPy Challenge

In this video, we will cover the most useful NumPy array functions that every Python programmer, data analyst, and data scientist must know. These functions make array operations super easy and efficient.

🔹 Functions Covered in this Video:

np.max() → Find maximum value

np.min() → Find minimum value

np.mean() → Calculate mean (average)

np.median() → Find median

np.std() → Standard deviation

np.var() → Variance

np.sum() → Sum of elements

np.prod() → Product of elements

np.cumsum() → Cumulative sum

np.cumprod() → Cumulative product

np.add() → Element-wise addition

np.subtract() → Element-wise subtraction

np.multiply() → Element-wise multiplication

np.divide() → Element-wise division

np.power() → Raise elements to a power

np.sort() → Sorting arrays

np.unique() → Unique values in an array

np.argmax() → Index of maximum value

np.argmin() → Index of minimum value


✨ These functions are widely used in data science, machine learning, and competitive programming. By mastering them, you’ll write faster and cleaner Python code.

📌 This is Day 9 of the 15 Days NumPy Challenge. Don’t forget to check out the full playlist to master NumPy step by step.

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