Running Code Cells

Duration: 5 min

This module delves into the essential skill of running code cells in Jupyter Notebooks. Understanding how to execute code cells efficiently is crucial for effective data analysis and visualization. This skill enables you to test and debug your code seamlessly, ensuring accurate results and enhancing your productivity.

Executing a Single Code Cell

To run a single code cell in a Jupyter Notebook, you can use the keyboard shortcut Shift + Enter or click the 'Run' button in the toolbar. This action will execute the code within the cell and display the output directly below the cell. It is particularly useful when you want to test a specific part of your code without running the entire notebook.

# Define a simple function to add two numbers
def add_numbers(a, b):
    return a + b

# Call the function with sample inputs
result = add_numbers(5, 3)
print(result)

Try it in Google Colab:

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Running Multiple Code Cells

Running multiple code cells in sequence is straightforward. You can execute all cells in a notebook by selecting 'Cell' > 'Run All' from the menu or using the keyboard shortcut Shift + Alt + Enter. This is especially useful when you need to ensure that all parts of your analysis are up-to-date and consistent, especially when dependencies exist between cells.

# Define a function to square a number
def square_number(x):
    return x ** 2

# Define a function to calculate the square root
import math
def square_root(x):
    return math.sqrt(x)

# Use the functions in sequence
squared = square_number(4)
sqrt_result = square_root(squared)
print(sqrt_result)

💡 Tip: Ensure that your cells are in the correct order to avoid dependency issues. Running cells out of order can lead to errors if a subsequent cell relies on the output of a previous one.