<s>[INST] How I open an image in Python using Pillow? [/INST] This is a very elementary question so I am assuming that you are a beginner. Here is a piece of example code with comments to explain what is happening:

``` python
#!/usr/bin/env python3

# The above line starting with "#!" is a so-called shebang.
# It tells a Linux system that this file should be interpreted as Python.
# It is not strictly needed though.

# Import of the Image object that represents the file:
from PIL import Image

# Load the image from a file:
test_image = Image.open("test.png")
# In this case "test.png" is the path of the image.
# The image file is in the same directory as the Python file.
# If the image file is in a different directory you will need to specify
# the full path starting from the file system root.

# Print information about the loaded image:
print(test_image)
# The console output is: <PIL.PngImagePlugin.PngImageFile image
#     mode=RGBA size=640x480 at 0x7F25C5FE3B80>
# This indicates that we did indeed load an image from a file and that the
# resolution is 640x480 pixels.
```</s>\ <s>[INST] Can you tell me more about how to use Pillow in Python? [/INST] In addition to loading image you can also use Pillow to for example edit images. The following code will crop a region from the test file, rotate it by 180°, paste it back, and then save the modified image to a file:

``` python
bounding_box = (
    100,  # left hand side
    100,  # top side
    400,  # right hand side
    400  # bottom side
)

# Crop to the region [100, 400) in both x and y direction:
cropped_region = test_image.crop(bounding_box)

# Rotate the cropped region by 180 degrees:
cropped_region = cropped_region.transpose(Image.Transpose.ROTATE_180)

# Paste the rotated cropped region back into the original image:
test_image.paste(cropped_region, bounding_box)

# Finally, save it to a file:
test_image.save("edited.png")
# The image type can be automatically inferred from the file extension.
```

Is there an aspect of Pillow in particular that you would like to learn more about or do you have a specific use case?</s>