First SciPy computation - Mini Project: Build & Apply

First NumPy computation

📖 Scenario: You are working with scientific data and want to use NumPy to perform a simple computation.NumPy is a Python library that helps with math and science tasks.

🎯 Goal: Learn how to import NumPy and use it to calculate the square root of a number.

📋 What You'll Learn

Create a variable with a number

Import the numpy library's sqrt function

Use sqrt to compute the square root of the number

Print the result

💡 Why This Matters

🌍 Real World

Scientists and engineers often use NumPy to perform math calculations on data.

💼 Career

Knowing how to use NumPy is useful for data scientists and researchers working with scientific data.

1

Create a variable with a number

Create a variable called number and set it to 16.

SciPy

# Create a variable called number and set it to 16
# Your code here

Need a hint?

Use = to assign the value 16 to the variable number.

2

Import the sqrt function from NumPy

Import the sqrt function from numpy.

SciPy

number = 16
# Import sqrt from numpy
# Your code here

Need a hint?

Use from numpy import sqrt to import the square root function.

3

Calculate the square root

Create a variable called result and set it to the square root of number using sqrt(number).

SciPy

number = 16
from numpy import sqrt
# Calculate the square root of number and store in result
# Your code here

Need a hint?

Use result = sqrt(number) to compute the square root.

4

Print the result

Print the value of result.

SciPy

number = 16
from numpy import sqrt
result = sqrt(number)
# Print the result
# Your code here

Need a hint?

Use print(result) to show the square root.