added a practical implementation of the algorithm in python

implementation.py

@@ -0,0 +1,63 @@
+import time
+import requests
+from dotenv import load_dotenv
+import os
+
+dT = 0.5
+
+RATE_OF_CHANGE = [
+    0.609164,
+    0.533102,
+    0.490007,
+    0.441728,
+    0.422819,
+    0.397558,
+    0.381043,
+    0.459887,
+    1.095440,
+    2.825424,
+    3.922974,
+    3.454793,
+    2.309282,
+    1.671112,
+    1.513777,
+    1.621256,
+    2.043299,
+    2.568422,
+    2.934706,
+    2.461657,
+    2.166300,
+    1.601714,
+    1.058227,
+    0.778290,
+    ]
+
+load_dotenv()
+
+def poll_data():
+    # make a api call to http://quentin.com/api/temperature
+    res = requests.get(os.getenv("SENSOR_API_URL")).json()
+    return res["temperature"]
+
+def push_data(temperature):
+    print(f"Pushed data: {temperature}")
+    requests.post(os.getenv("API_URL"), json={"temperature": temperature})
+
+def main():
+    temperature = poll_data()
+    push_data(temperature)
+    while True:
+        #get hour of the day
+        current_hour = time.localtime().tm_hour
+        #get the rate of change for the current hour
+        rate_of_change = RATE_OF_CHANGE[current_hour]
+        #calculate the wait before the next poll
+        wait_time = 3600 * dT / rate_of_change
+        #wait
+        time.sleep(wait_time)
+        #poll data
+        new_temperature = poll_data()
+        print(f"New temperature: {new_temperature}")
+        #push data
+        push_data(new_temperature)
+