if 'New York' in temperatures: else: if temperatures ['New York'] > 90: print('The city is melting!') else: print(f"The temperature in New York is {temperatures ['New York']}.") print('The temperature in New York is unknown.') Sample output with input: 105 The city is melting!
if 'New York' in temperatures: else: if temperatures ['New York'] > 90: print('The city is melting!') else: print(f"The temperature in New York is {temperatures ['New York']}.") print('The temperature in New York is unknown.') Sample output with input: 105 The city is melting!
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![### Code Explanation
This code is designed to check the temperature in New York and print a message based on certain conditions. Here's a breakdown of how it works:
```python
if 'New York' in temperatures:
if temperatures['New York'] > 90:
print('The city is melting!')
else:
print(f"The temperature in New York is {temperatures['New York']}.")
else:
print('The temperature in New York is unknown.')
```
#### Functionality:
1. **Check for New York's Temperature**:
- The code first checks if 'New York' is in the `temperatures` dictionary.
2. **Temperature Conditions**:
- If 'New York' is in the dictionary, it checks if its temperature is greater than 90.
- If true, it prints "The city is melting!"
- Otherwise, it prints the actual temperature of New York.
3. **Unknown Temperature**:
- If 'New York' is not in the dictionary, it prints "The temperature in New York is unknown."
#### Sample Output:
- Based on an input temperature of 105 for New York, the output will be:
```
The city is melting!
```
### Code Snippet
```python
temperatures = {
'Seattle': 56.5,
'New York': float(input()),
'Kansas City': 81.9,
'Los Angeles': 76.5
}
```
#### Explanation of Code Snippet:
- A dictionary named `temperatures` contains temperature data for various cities.
- The temperature for 'New York' is dynamically taken as input from the user using `float(input())`.
- This allows the user to test the conditional logic by entering different temperature values for New York.
### Educational Context
This code snippet is a practical example of using conditionals and dictionaries in Python. It shows how to:
- Access and manipulate data stored in a dictionary.
- Use input functions for dynamic testing.
- Implement conditional logic to produce different outputs based on specified criteria.
#### Interactive Component
**Try It Yourself**: Input different temperatures for New York and observe the change in output to deepen your understanding of conditional statements in Python.
For further information, you can explore how our autograder works to test your code.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9978ffa8-8e6a-4550-8363-e044b6a6e895%2F92831d72-43cd-4d4a-8021-4e0f8755303a%2F0sefznh_processed.png&w=3840&q=75)
Transcribed Image Text:### Code Explanation
This code is designed to check the temperature in New York and print a message based on certain conditions. Here's a breakdown of how it works:
```python
if 'New York' in temperatures:
if temperatures['New York'] > 90:
print('The city is melting!')
else:
print(f"The temperature in New York is {temperatures['New York']}.")
else:
print('The temperature in New York is unknown.')
```
#### Functionality:
1. **Check for New York's Temperature**:
- The code first checks if 'New York' is in the `temperatures` dictionary.
2. **Temperature Conditions**:
- If 'New York' is in the dictionary, it checks if its temperature is greater than 90.
- If true, it prints "The city is melting!"
- Otherwise, it prints the actual temperature of New York.
3. **Unknown Temperature**:
- If 'New York' is not in the dictionary, it prints "The temperature in New York is unknown."
#### Sample Output:
- Based on an input temperature of 105 for New York, the output will be:
```
The city is melting!
```
### Code Snippet
```python
temperatures = {
'Seattle': 56.5,
'New York': float(input()),
'Kansas City': 81.9,
'Los Angeles': 76.5
}
```
#### Explanation of Code Snippet:
- A dictionary named `temperatures` contains temperature data for various cities.
- The temperature for 'New York' is dynamically taken as input from the user using `float(input())`.
- This allows the user to test the conditional logic by entering different temperature values for New York.
### Educational Context
This code snippet is a practical example of using conditionals and dictionaries in Python. It shows how to:
- Access and manipulate data stored in a dictionary.
- Use input functions for dynamic testing.
- Implement conditional logic to produce different outputs based on specified criteria.
#### Interactive Component
**Try It Yourself**: Input different temperatures for New York and observe the change in output to deepen your understanding of conditional statements in Python.
For further information, you can explore how our autograder works to test your code.
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