import requests

import time

import random

from datetime import datetime, timedelta

​

def get_seconds_until_next_minute():

    current_time = datetime.now()

    next_minute = current_time + timedelta(minutes=1)

    next_minute = next_minute.replace(second=0, microsecond=0)

    remaining_seconds = (next_minute - current_time).total_seconds()

    return remaining_seconds

​

def multi_api(stock_name, date, data_type='high'):

    api_keys = [

        "6ppmZm9JKpqPLb5JHgNsENMZC6E6ORod",

        "cDT6Z0uRbv3KS2ipbYRVhGdhflKHz3f9",

        "pQ_3uhxDaH5KNpyZWYV60swl4vCom7Fa",

        "ErxKKvFge8coIlOzlmHHe3IgIvU3BRdk",

    ]

    base_url = "https://api.polygon.io/v1/open-close/{}/{}/?adjusted=true&apiKey={}"

​

    while True:

        # Randomly shuffle the API keys for the first attempt

        random.shuffle(api_keys)

​

        for api_key in api_keys:

            url = base_url.format(stock_name, date, api_key)

            try:

                response = requests.get(url)

                parsed_data = response.json()

                data_value = parsed_data.get(data_type)

                print(f"API request successful. {data_type} value:", data_value)

                time.sleep(1)  # Add a 1-second delay

                return data_value

            except Exception as e:

                print(f"Failed to make API request for {url}. Error: {e}")

​

        print("All API requests failed. Waiting until the next minute...")

        remaining_seconds = get_seconds_until_next_minute()

        time.sleep(remaining_seconds)

​

# Example usage:

stock_name = "MSFT"

date = "2023-12-10"

data_type = "low"  # Change to the desired data type

result = multi_api(stock_name, date, data_type)

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hey!!!

Python is an interpreted, high-level, 

general-purpose programming language.

​

//as you can also see to your right --------------------->

​

but also note interpreted, not compiled. 

print('Hello World boi')

Welcome TO python 

print('hello')

Python is a High level and multi-purpose Programming language. It is commonly

used in data science ,AI(Artificial intelligence) and ML(Machine Learning).

If you are a beginner in programming it is mostly prefered because its

code is very simple and somehow similar to English Language.Even master level

people use python. Encourage you to learn it.

Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Here is a basic Python function print('Hello')

display('df1', 'df2', "pd.merge(df1, df2, on='employee')")

'''Python is an interpreted, high-level and general-purpose programming

language.Python's design philosophy emphasizes code readability with its 

notable use of significant whitespace. '''

#Examples

print("Hello World")

repeat = 5

for i in range(repeat):  

  print("This is the %i iteration" % i)

  #2nd variation - print("This is the " + i + "iteration")

  #3rd variation - print(f"This is the {i!r} iteration")

  #4th variation - print(("This is the {} iteration).format(i))

    import random #In order to use the random functions

    class Person:

      def __init__(self, name, age, height):

        self.name = str(name)

        self.age = int(age)

        self.height = str(height)

    person1 = Person("Name", random.randint(1, 100), str(random.randint(0, 7)) + "'" + str(random.randint(0, 11)) + '"')

    print(f"Your name is {person1.name} and you are {person1.age} years old. You are also {person1.height}.")