🧮 NumPy – Task 12 (Crash Course)

In this task, I explored various NumPy functions, operations, and concepts as part of my learning.

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🔹 Functions Worked On

• array()
• zeros()
• ones()
• arange()
• reshape()
• np.random.rand()
• np.random.randint()

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🔹 Indexing & Slicing in NumPy

Practiced selecting elements, rows, and columns using:

• Simple indexing
• Slicing (: operator)

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🔹 Concepts from NumPy Documentation

• Sorting and Concatenation
• ndim → Number of dimensions
• size → Total number of elements
• shape → Dimensions of the array

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🔹 Operations on NumPy Arrays

• min() → Finds minimum value
• max() → Finds maximum value
• mean() → Calculates mean value
• median() → Calculates median value

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🔹 Masking in NumPy

Practiced masking using comparison operators:

• < , <= , > , >=

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📘 Summary:
This task helped me strengthen my understanding of NumPy fundamentals — from creating arrays to performing operations and masking elements effectively.