Add web program to fetch top 10 real time billionaires using the forbes API.

requirements.txt

@@ -14,6 +14,7 @@ scikit-fuzzy
 sklearn
 statsmodels
 sympy
+tabulate
 tensorflow
 texttable
 tweepy

web_programming/get_top_billioners.py

@@ -0,0 +1,41 @@
+from datetime import date, datetime
+
+import requests
+import tabulate
+
+API_URL = (
+    "https://www.forbes.com/forbesapi/person/rtb/0/-estWorthPrev/true.json"
+    "?fields=personName,gender,source,countryOfCitizenship,"
+    "birthDate,finalWorth&limit=10"
+)
+
+
+def real_time_billionaires() -> str:
+    """Get top 10 realtime billionaires using forbes API
+    Returns:
+    Top 10 realtime billionaires date in tabulated string.
+    """
+    response_json = requests.get(API_URL).json()
+    today = date.today()
+    final_response = []
+    for person in response_json["personList"]["personsLists"]:
+        birthdate = datetime.fromtimestamp(person["birthDate"] / 1000).date()
+        final_response.append(
+            {
+                "Name": person["personName"],
+                "Source": person["source"],
+                "Country": person["countryOfCitizenship"],
+                "Gender": person["gender"],
+                "Worth": f"{person['finalWorth'] / 1000:.1f} Billion",
+                "Age": today.year
+                - birthdate.year
+                - ((today.month, today.day) < (birthdate.month, birthdate.day)),
+            }
+        )
+    header = tuple(final_response[0].keys())
+    rows = [x.values() for x in final_response]
+    return tabulate.tabulate(rows, header)
+
+
+if __name__ == "__main__":
+    print(real_time_billionaires())