✅ BEGINNER LEVEL NumPy Projects

 

✅ INTERMEDIATE LEVEL NumPy Projects

Pandas DataFrame for Beginners

1. Temperature Converter Using NumPy

Description:
Convert a list of Celsius temperatures into Fahrenheit using vectorized operations.

Concepts used: Vectorization, arrays

Code:

import numpy as np

celsius = np.array([0, 10, 20, 30, 40])
fahrenheit = (celsius * 9/5) + 32

print("Fahrenheit:", fahrenheit)
Output::-- Fahrenheit: [ 32.  50.  68.  86. 104.]

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2. Student Marks Analysis

Description:
Calculate total, average, highest, and lowest marks using NumPy functions.

Concepts: Aggregations (sum, max, min, mean)

Code:

import numpy as np

marks = np.array([78, 90, 66, 82, 95])

print("Total:", marks.sum())
print("Average:", marks.mean())
print("Highest:", marks.max())
print("Lowest:", marks.min())

Output::--
Total: 411
Average: 82.2
Highest: 95
Lowest: 66

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3. Random Password Generator

Description:
Generate a random numeric password using NumPy's random module.

Concepts: random.randint()

Code:

import numpy as np

password = np.random.randint(0, 9, 6)
print("Generated Password:", ''.join(map(str, password)))

Output::--Generated Password: 007622