1950 Plymouth Suburban
What we know:
1950
Plymouth
It appears you've provided a detailed JSON object, with multiple categories such as 'images', 'sizes', 'long_title', 'start_date', etc. Without knowing the exact purpose or context of this information, I'll provide a general example of how to process it using Python's built-in JSON library:
```python
import json
# The provided data
data = """
{
...
}
"""
# Parse the JSON data into a Python dictionary
parsed_data = json.loads(data)
# Now you can access different parts of the data, for instance:
print(parsed_data['long_title']) # Output: Partially Restored 1950 Plymouth Suburban Station Wagon
print(parsed_data['sizes']['lg']) # Output: https://example.com/large_image.jpg
# You may also iterate over each image in 'images' list and print its url:
for img in parsed_data['images']:
print(img['url']) # Output: The URL of the first image
```
This will allow you to work with your data like a Python dictionary or list, depending on how it's structured. If there are specific tasks regarding this dataset (like querying or modifying certain elements), please specify them for more tailored assistance.
Last bid:
$11,000