Installing and importing NumPy - Try It Yourself

Installing and importing NumPy

📖 Scenario: You want to use NumPy, a popular tool for working with numbers and data in Python. First, you need to install it and then import it into your program.

🎯 Goal: Learn how to install the NumPy package and import it correctly in your Python code.

📋 What You'll Learn

Install the NumPy package using pip

Import NumPy in your Python script with the alias np

💡 Why This Matters

🌍 Real World

NumPy is used in many data science and machine learning projects to handle numbers and arrays efficiently.

💼 Career

Knowing how to install and import packages like NumPy is a basic but essential skill for data science and programming jobs.

1

Install NumPy package

Open your command line or terminal and type pip install numpy to install the NumPy package.

NumPy

# Your code here

Need a hint?

Use the command pip install numpy in your terminal or command prompt.

2

Import NumPy in Python

Write the Python code to import the NumPy package using the alias np.

NumPy

# Import NumPy with alias np
# Your code here

Need a hint?

Use import numpy as np to import NumPy with the common alias.

3

Check NumPy version

Write a line of code to print the version of the imported NumPy package using np.__version__.

NumPy

# Print the NumPy version
# Your code here

Need a hint?

Use print(np.__version__) to display the NumPy version.

4

Output the NumPy version

Run the program and observe the printed NumPy version number.

NumPy

# Run the code to see the output
# Your code here

Need a hint?

The output should start with a version number like 3. indicating NumPy is installed and imported correctly.