Certainly! Below is a Python code simulation for monitoring the core temperature of a dish in a professional kitchen setting, inspired by the passion and precision of renowned chef Lucas and the artistic flair of Pablo Picasso.

« `python
import time
import random

def simulate_cooking(dish_type, target_temp, cooking_time):
«  » »
Simulate the cooking process of a dish to reach the target core temperature.

Parameters:
dish_type (str): Type of the dish being cooked (e.g., « steak », « fish »).
target_temp (float): Target core temperature in degrees Celsius.
cooking_time (int): Total cooking time in minutes.

Returns:
None
«  » »
print(f »Welcome to Chef Lucas’s Kitchen. Today, we are cooking {dish_type}. »)
print(f »Target core temperature: {target_temp}°C »)
print(f »Estimated cooking time: {cooking_time} minutes »)

current_temp = 20 # Starting temperature in degrees Celsius
temperature_log = [current_temp]

print(« Monitoring the core temperature… »)
for minute in range(1, cooking_time + 1):
# Simulate temperature change per minute
temp_change = random.uniform(0.5, 1.5)
current_temp += temp_change
temperature_log.append(current_temp)

print(f »Minute {minute}/{cooking_time}: Current core temperature: {current_temp:.2f}°C »)

# Check if the target temperature is reached
if current_temp >= target_temp:
print(f »Core temperature {current_temp:.2f}°C reached! The dish is ready. »)
break

time.sleep(1) # Simulate passing of time (in seconds)

print(« \nTemperature log during cooking: »)
for i, temp in enumerate(temperature_log):
print(f »Minute {i}: {temp:.2f}°C »)

print(« Thank you for using Chef Lucas’s cooking simulation! »)

# Example usage:
simulate_cooking(« steak », 60, 20)
« `

### Explanation:
1. **Function Definition**: The function `simulate_cooking` takes three parameters: `dish_type`, `target_temp`, and `cooking_time`.
2. **Initial Setup**: The initial temperature is set to 20°C, and a list `temperature_log` is initialized to keep track of temperature changes.
3. **Loop Simulation**: A loop runs for the specified `cooking_time`, simulating temperature changes each minute.
4. **Temperature Change**: A random temperature change between 0.5 and 1.5 degrees Celsius is added to the current temperature.
5. **Check Target Temperature**: If the current temperature reaches or exceeds the target temperature, the loop breaks, indicating that the dish is ready.
6. **Logging and Output**: The temperature log is printed at the end, showing the temperature changes over time.

### Usage:
To simulate cooking a steak to a core temperature of 60°C over 20 minutes, you can call the function with the appropriate arguments:

« `python
simulate_cooking(« steak », 60, 20)
« `

This simulation is designed to be professional and precise, much like the approach of Chef Lucas, while incorporating an artistic touch inspired by Pablo Picasso. Enjoy cooking!