Python ModulesPillow TutorialIntroduction to Pillow

Introduction to Pillow

Pillow is a powerful and easy-to-use Python Imaging Library (PIL) fork that allows developers to work with images for a variety of tasks, including opening, editing, and saving image files in different formats. It is widely used in web development, computer vision, and graphical applications.


What is Pillow?

Pillow provides extensive capabilities for:

  • Image processing tasks such as resizing, cropping, and filtering.
  • Handling a wide variety of image file formats like JPEG, PNG, BMP, and GIF.
  • Enhancing and transforming images with ease.

Pillow acts as the go-to library for image manipulation in Python due to its simplicity and efficiency.


Key Features of Pillow

  • Wide Format Support: Handles various formats, including JPEG, PNG, BMP, GIF, and more.
  • Image Processing Tools: Resize, rotate, crop, and apply filters effortlessly.
  • Drawing Tools: Add shapes, text, and designs to images using the ImageDraw module.
  • Metadata Handling: Access and edit EXIF metadata for images.
  • Cross-Platform: Works seamlessly across Windows, macOS, and Linux.

Comparison with Other Image Libraries

FeaturePillowOpenCVScikit-Image
Ease of UseSimple API, beginner-friendlyAdvanced, steep learning curveModerate, research-focused
Supported FormatsWide varietyLimited but efficientLimited file handling
ApplicationsGeneral image processingComputer vision tasksScientific image analysis
PerformanceModerateHighModerate

Installing Pillow

Pillow is easy to install and supports a variety of development environments.

Using pip

pip install Pillow

Setting Up the Environment

1. Using IDLE

  • Ensure Python is installed on your system.
  • Install Pillow using pip install Pillow.
  • Test the installation:
    from PIL import Image
    print("Pillow is installed correctly!")

2. Using Jupyter Notebook

  • Install Jupyter Notebook if not already installed:
    pip install notebook
  • Open a new notebook and install Pillow:
    !pip install Pillow

3. Using Google Colab

  • Pillow is pre-installed in Colab. Just import it and start using:
    from PIL import Image
    print("Pillow is ready in Colab!")

4. Setting Up Visual Studio Code (VS Code)

  • Install Python and VS Code.
  • Open the terminal in VS Code and install Pillow using pip install Pillow.
  • Test the installation:
    from PIL import Image
    print("Pillow is ready in VS Code!")

Example: Testing Your Installation

Here’s a simple program to test if Pillow is installed correctly:

from PIL import Image
 
# Create a blank image
img = Image.new('RGB', (100, 100), color = 'blue')
img.show()

If the installation is successful, a blue square image will open.


Pillow is a foundational tool for Python developers interested in working with images. Its simplicity and versatility make it a must-know library. Let’s dive deeper into its capabilities in the next sections!