Nested JSON can be a pain! Here’s a pro tip: use `pprint` to visualize the structure after deserialize dict python:
```python
from pprint import pprint
data = json.loads(json_string)
pprint(data)
```
This helps spot missing keys or weird nesting. Also, try wrapping json.loads() in a try-except to catch specific errors like ValueError or TypeError.
```python
from pprint import pprint
data = json.loads(json_string)
pprint(data)
```
This helps spot missing keys or weird nesting. Also, try wrapping json.loads() in a try-except to catch specific errors like ValueError or TypeError.
