Python, RapidAPI Terms

APIs and tooling like Jupyter docs allows many opportunities in fields like Data Science. As more and more developers use APIs, they build standards in how you setup a client, send requests and receive information...

Covid19 RapidAPI Example

To begin the API journey. You need to find an API provider.

  • RapidAPI is a great option. You must setup and account, but there are many free options.
  • Goto this page for starters, the Corona virus World and India data- Under Code Snippets pick Python - Requests

RapidAPI, you will select Python Requests type of code to work with you Notebook.

  • The url is the endpoint to which the API is directed
  • The headers is a dictionary data structure to send special messaging to the endpoint
  • The requests.request() python function is used to send a request and retrieve their responses
  • The response variable receives result of of the request in JSON text

Next step, is to format the response according to your data science needs

"""
Requests is a HTTP library for the Python programming language. 
The goal of the project is to make HTTP requests simpler and more human-friendly. 
"""
import requests

"""
RapidAPI is the world's largest API Marketplace. 
Developers use Rapid API to discover and connect to thousands of APIs. 
"""
url = "https://corona-virus-world-and-india-data.p.rapidapi.com/api"
headers = {
    'x-rapidapi-key': "8677538c65mshfd1d85d7adf047fp17a8a1jsn7a54a04df28c",
    'x-rapidapi-host': "corona-virus-world-and-india-data.p.rapidapi.com"
}

# Request Covid Data
response = requests.request("GET", url, headers=headers)
print(response.json())  # uncomment this line to see raw data

# This code looks for "world data"
print("World Totals")
world = response.json().get('world_total')  # turn response to json() so we can extract "world_total"
for key, value in world.items():  # this finds key, value pairs in country
    print(key, value)

print()

# This code looks for USA in "countries_stats"
print("Country Totals")
countries = response.json().get('countries_stat')
for country in countries:  # countries is a list
    if country["country_name"] == "USA":  # this filters for USA
        for key, value in country.items():  # this finds key, value pairs in country
            print(key, value)
{'countries_stat': [{'country_name': 'USA', 'cases': '82,649,779', 'deaths': '1,018,316', 'region': '', 'total_recovered': '80,434,925', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1,465', 'active_cases': '1,196,538', 'total_cases_per_1m_population': '247,080', 'deaths_per_1m_population': '3,044', 'total_tests': '1,000,275,726', 'tests_per_1m_population': '2,990,303'}, {'country_name': 'India', 'cases': '43,057,545', 'deaths': '522,193', 'region': '', 'total_recovered': '42,519,479', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '698', 'active_cases': '15,873', 'total_cases_per_1m_population': '30,657', 'deaths_per_1m_population': '372', 'total_tests': '834,717,702', 'tests_per_1m_population': '594,319'}, {'country_name': 'Brazil', 'cases': '30,345,654', 'deaths': '662,663', 'region': '', 'total_recovered': '29,364,400', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '8,318', 'active_cases': '318,591', 'total_cases_per_1m_population': '140,954', 'deaths_per_1m_population': '3,078', 'total_tests': '63,776,166', 'tests_per_1m_population': '296,238'}, {'country_name': 'France', 'cases': '28,244,977', 'deaths': '145,020', 'region': '', 'total_recovered': '25,852,832', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1,677', 'active_cases': '2,247,125', 'total_cases_per_1m_population': '430,996', 'deaths_per_1m_population': '2,213', 'total_tests': '266,484,045', 'tests_per_1m_population': '4,066,333'}, {'country_name': 'Germany', 'cases': '24,109,433', 'deaths': '134,624', 'region': '', 'total_recovered': '21,243,000', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1,980', 'active_cases': '2,731,809', 'total_cases_per_1m_population': '286,106', 'deaths_per_1m_population': '1,598', 'total_tests': '122,332,384', 'tests_per_1m_population': '1,451,714'}, {'country_name': 'UK', 'cases': '21,933,206', 'deaths': '173,352', 'region': '', 'total_recovered': '20,782,350', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '339', 'active_cases': '977,504', 'total_cases_per_1m_population': '320,054', 'deaths_per_1m_population': '2,530', 'total_tests': '514,985,782', 'tests_per_1m_population': '7,514,777'}, {'country_name': 'Russia', 'cases': '18,137,137', 'deaths': '374,902', 'region': '', 'total_recovered': '17,474,628', 'new_deaths': '168', 'new_cases': '8,446', 'serious_critical': '2,300', 'active_cases': '287,607', 'total_cases_per_1m_population': '124,187', 'deaths_per_1m_population': '2,567', 'total_tests': '273,400,000', 'tests_per_1m_population': '1,871,995'}, {'country_name': 'S. Korea', 'cases': '16,895,194', 'deaths': '22,133', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '109', 'new_cases': '64,725', 'serious_critical': '726', 'active_cases': 'N/A', 'total_cases_per_1m_population': '329,028', 'deaths_per_1m_population': '431', 'total_tests': '15,804,065', 'tests_per_1m_population': '307,778'}, {'country_name': 'Italy', 'cases': '16,079,209', 'deaths': '162,609', 'region': '', 'total_recovered': '14,684,371', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '409', 'active_cases': '1,232,229', 'total_cases_per_1m_population': '266,648', 'deaths_per_1m_population': '2,697', 'total_tests': '211,365,630', 'tests_per_1m_population': '3,505,156'}, {'country_name': 'Turkey', 'cases': '15,016,270', 'deaths': '98,676', 'region': '', 'total_recovered': '14,854,475', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '975', 'active_cases': '63,119', 'total_cases_per_1m_population': '174,654', 'deaths_per_1m_population': '1,148', 'total_tests': '158,110,923', 'tests_per_1m_population': '1,838,986'}, {'country_name': 'Spain', 'cases': '11,786,036', 'deaths': '103,908', 'region': '', 'total_recovered': '11,261,340', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '339', 'active_cases': '420,788', 'total_cases_per_1m_population': '251,906', 'deaths_per_1m_population': '2,221', 'total_tests': '471,036,328', 'tests_per_1m_population': '10,067,575'}, {'country_name': 'Vietnam', 'cases': '10,563,502', 'deaths': '43,013', 'region': '', 'total_recovered': '9,086,075', 'new_deaths': '9', 'new_cases': '8,813', 'serious_critical': '612', 'active_cases': '1,434,414', 'total_cases_per_1m_population': '106,789', 'deaths_per_1m_population': '435', 'total_tests': '85,789,114', 'tests_per_1m_population': '867,262'}, {'country_name': 'Argentina', 'cases': '9,060,923', 'deaths': '128,344', 'region': '', 'total_recovered': '8,895,999', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '412', 'active_cases': '36,580', 'total_cases_per_1m_population': '197,215', 'deaths_per_1m_population': '2,793', 'total_tests': '35,716,069', 'tests_per_1m_population': '777,376'}, {'country_name': 'Netherlands', 'cases': '8,035,603', 'deaths': '22,206', 'region': '', 'total_recovered': '7,643,520', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '94', 'active_cases': '369,877', 'total_cases_per_1m_population': '467,096', 'deaths_per_1m_population': '1,291', 'total_tests': '21,107,399', 'tests_per_1m_population': '1,226,938'}, {'country_name': 'Japan', 'cases': '7,621,562', 'deaths': '29,284', 'region': '', 'total_recovered': '7,135,403', 'new_deaths': '27', 'new_cases': '43,721', 'serious_critical': '195', 'active_cases': '456,875', 'total_cases_per_1m_population': '60,596', 'deaths_per_1m_population': '233', 'total_tests': '46,690,473', 'tests_per_1m_population': '371,215'}, {'country_name': 'Iran', 'cases': '7,216,040', 'deaths': '140,975', 'region': '', 'total_recovered': '6,966,954', 'new_deaths': '13', 'new_cases': '528', 'serious_critical': '1,046', 'active_cases': '108,111', 'total_cases_per_1m_population': '83,972', 'deaths_per_1m_population': '1,641', 'total_tests': '50,811,054', 'tests_per_1m_population': '591,284'}, {'country_name': 'Colombia', 'cases': '6,091,094', 'deaths': '139,771', 'region': '', 'total_recovered': '5,924,433', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '342', 'active_cases': '26,890', 'total_cases_per_1m_population': '117,448', 'deaths_per_1m_population': '2,695', 'total_tests': '34,355,022', 'tests_per_1m_population': '662,433'}, {'country_name': 'Indonesia', 'cases': '6,043,768', 'deaths': '156,067', 'region': '', 'total_recovered': '5,868,251', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '2,771', 'active_cases': '19,450', 'total_cases_per_1m_population': '21,682', 'deaths_per_1m_population': '560', 'total_tests': '94,877,499', 'tests_per_1m_population': '340,374'}, {'country_name': 'Poland', 'cases': '5,991,197', 'deaths': '115,948', 'region': '', 'total_recovered': '5,334,375', 'new_deaths': '0', 'new_cases': '344', 'serious_critical': '1,588', 'active_cases': '540,874', 'total_cases_per_1m_population': '158,616', 'deaths_per_1m_population': '3,070', 'total_tests': '36,027,053', 'tests_per_1m_population': '953,808'}, {'country_name': 'Mexico', 'cases': '5,733,514', 'deaths': '324,117', 'region': '', 'total_recovered': '5,033,892', 'new_deaths': '57', 'new_cases': '802', 'serious_critical': '4,798', 'active_cases': '375,505', 'total_cases_per_1m_population': '43,641', 'deaths_per_1m_population': '2,467', 'total_tests': '15,762,889', 'tests_per_1m_population': '119,981'}, {'country_name': 'Australia', 'cases': '5,689,377', 'deaths': '6,991', 'region': '', 'total_recovered': '5,274,197', 'new_deaths': '21', 'new_cases': '34,769', 'serious_critical': '135', 'active_cases': '408,189', 'total_cases_per_1m_population': '218,537', 'deaths_per_1m_population': '269', 'total_tests': '68,845,476', 'tests_per_1m_population': '2,644,452'}, {'country_name': 'Ukraine', 'cases': '4,997,224', 'deaths': '108,306', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '177', 'active_cases': 'N/A', 'total_cases_per_1m_population': '115,517', 'deaths_per_1m_population': '2,504', 'total_tests': '19,521,252', 'tests_per_1m_population': '451,259'}, {'country_name': 'Malaysia', 'cases': '4,427,067', 'deaths': '35,491', 'region': '', 'total_recovered': '4,310,599', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '89', 'active_cases': '80,977', 'total_cases_per_1m_population': '133,690', 'deaths_per_1m_population': '1,072', 'total_tests': '58,332,799', 'tests_per_1m_population': '1,761,549'}, {'country_name': 'Thailand', 'cases': '4,165,874', 'deaths': '27,778', 'region': '', 'total_recovered': '3,954,945', 'new_deaths': '126', 'new_cases': '17,784', 'serious_critical': '1,496', 'active_cases': '183,151', 'total_cases_per_1m_population': '59,414', 'deaths_per_1m_population': '396', 'total_tests': '17,270,775', 'tests_per_1m_population': '246,317'}, {'country_name': 'Austria', 'cases': '4,104,859', 'deaths': '18,047', 'region': '', 'total_recovered': '3,989,860', 'new_deaths': '12', 'new_cases': '5,810', 'serious_critical': '121', 'active_cases': '96,952', 'total_cases_per_1m_population': '451,125', 'deaths_per_1m_population': '1,983', 'total_tests': '181,825,734', 'tests_per_1m_population': '19,982,688'}, {'country_name': 'Israel', 'cases': '4,054,342', 'deaths': '10,658', 'region': '', 'total_recovered': '4,009,152', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '220', 'active_cases': '34,532', 'total_cases_per_1m_population': '434,735', 'deaths_per_1m_population': '1,143', 'total_tests': '41,373,364', 'tests_per_1m_population': '4,436,346'}, {'country_name': 'Belgium', 'cases': '4,015,791', 'deaths': '31,319', 'region': '', 'total_recovered': '3,726,457', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '169', 'active_cases': '258,015', 'total_cases_per_1m_population': '343,798', 'deaths_per_1m_population': '2,681', 'total_tests': '33,456,470', 'tests_per_1m_population': '2,864,259'}, {'country_name': 'Czechia', 'cases': '3,895,544', 'deaths': '40,081', 'region': '', 'total_recovered': '3,838,099', 'new_deaths': '5', 'new_cases': '911', 'serious_critical': '43', 'active_cases': '17,364', 'total_cases_per_1m_population': '362,550', 'deaths_per_1m_population': '3,730', 'total_tests': '55,117,064', 'tests_per_1m_population': '5,129,629'}, {'country_name': 'Portugal', 'cases': '3,791,744', 'deaths': '22,162', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '61', 'active_cases': 'N/A', 'total_cases_per_1m_population': '373,827', 'deaths_per_1m_population': '2,185', 'total_tests': '40,748,372', 'tests_per_1m_population': '4,017,371'}, {'country_name': 'South Africa', 'cases': '3,759,689', 'deaths': '100,298', 'region': '', 'total_recovered': '3,632,572', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '175', 'active_cases': '26,819', 'total_cases_per_1m_population': '61,981', 'deaths_per_1m_population': '1,653', 'total_tests': '24,313,334', 'tests_per_1m_population': '400,824'}, {'country_name': 'Canada', 'cases': '3,695,585', 'deaths': '38,777', 'region': '', 'total_recovered': '3,426,082', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '426', 'active_cases': '230,726', 'total_cases_per_1m_population': '96,391', 'deaths_per_1m_population': '1,011', 'total_tests': '60,536,359', 'tests_per_1m_population': '1,578,955'}, {'country_name': 'Philippines', 'cases': '3,684,500', 'deaths': '60,182', 'region': '', 'total_recovered': '3,610,658', 'new_deaths': '3', 'new_cases': '205', 'serious_critical': '289', 'active_cases': '13,660', 'total_cases_per_1m_population': '32,835', 'deaths_per_1m_population': '536', 'total_tests': '29,427,586', 'tests_per_1m_population': '262,246'}, {'country_name': 'Switzerland', 'cases': '3,579,867', 'deaths': '13,816', 'region': '', 'total_recovered': '3,378,507', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '90', 'active_cases': '187,544', 'total_cases_per_1m_population': '408,247', 'deaths_per_1m_population': '1,576', 'total_tests': '20,666,182', 'tests_per_1m_population': '2,356,766'}, {'country_name': 'Peru', 'cases': '3,559,343', 'deaths': '212,724', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '356', 'active_cases': 'N/A', 'total_cases_per_1m_population': '105,303', 'deaths_per_1m_population': '6,293', 'total_tests': '29,592,270', 'tests_per_1m_population': '875,489'}, {'country_name': 'Chile', 'cases': '3,544,463', 'deaths': '57,375', 'region': '', 'total_recovered': '3,368,772', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '286', 'active_cases': '118,316', 'total_cases_per_1m_population': '182,588', 'deaths_per_1m_population': '2,956', 'total_tests': '36,711,724', 'tests_per_1m_population': '1,891,147'}, {'country_name': 'Greece', 'cases': '3,277,557', 'deaths': '28,867', 'region': '', 'total_recovered': '3,151,717', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '277', 'active_cases': '96,973', 'total_cases_per_1m_population': '317,250', 'deaths_per_1m_population': '2,794', 'total_tests': '78,872,546', 'tests_per_1m_population': '7,634,431'}, {'country_name': 'Denmark', 'cases': '2,959,040', 'deaths': '6,072', 'region': '', 'total_recovered': '2,929,091', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '15', 'active_cases': '23,877', 'total_cases_per_1m_population': '507,639', 'deaths_per_1m_population': '1,042', 'total_tests': '127,141,200', 'tests_per_1m_population': '21,811,751'}, {'country_name': 'Romania', 'cases': '2,888,318', 'deaths': '65,427', 'region': '', 'total_recovered': '2,606,660', 'new_deaths': '6', 'new_cases': '494', 'serious_critical': '216', 'active_cases': '216,231', 'total_cases_per_1m_population': '151,968', 'deaths_per_1m_population': '3,442', 'total_tests': '22,594,702', 'tests_per_1m_population': '1,188,815'}, {'country_name': 'Sweden', 'cases': '2,498,388', 'deaths': '18,656', 'region': '', 'total_recovered': '2,464,421', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '19', 'active_cases': '15,311', 'total_cases_per_1m_population': '244,630', 'deaths_per_1m_population': '1,827', 'total_tests': '18,493,218', 'tests_per_1m_population': '1,810,763'}, {'country_name': 'Iraq', 'cases': '2,324,141', 'deaths': '25,204', 'region': '', 'total_recovered': '2,295,947', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '20', 'active_cases': '2,990', 'total_cases_per_1m_population': '55,534', 'deaths_per_1m_population': '602', 'total_tests': '18,450,939', 'tests_per_1m_population': '440,871'}, {'country_name': 'Serbia', 'cases': '2,001,144', 'deaths': '15,953', 'region': '', 'total_recovered': '1,967,786', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '25', 'active_cases': '17,405', 'total_cases_per_1m_population': '230,710', 'deaths_per_1m_population': '1,839', 'total_tests': '9,427,662', 'tests_per_1m_population': '1,086,907'}, {'country_name': 'Bangladesh', 'cases': '1,952,532', 'deaths': '29,127', 'region': '', 'total_recovered': '1,893,131', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1,297', 'active_cases': '30,274', 'total_cases_per_1m_population': '11,646', 'deaths_per_1m_population': '174', 'total_tests': '13,956,056', 'tests_per_1m_population': '83,245'}, {'country_name': 'Hungary', 'cases': '1,890,953', 'deaths': '46,048', 'region': '', 'total_recovered': '1,776,617', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '45', 'active_cases': '68,288', 'total_cases_per_1m_population': '196,645', 'deaths_per_1m_population': '4,789', 'total_tests': '11,295,119', 'tests_per_1m_population': '1,174,608'}, {'country_name': 'Slovakia', 'cases': '1,774,808', 'deaths': '19,839', 'region': '', 'total_recovered': '1,730,712', 'new_deaths': '10', 'new_cases': '1,155', 'serious_critical': '88', 'active_cases': '24,257', 'total_cases_per_1m_population': '324,794', 'deaths_per_1m_population': '3,631', 'total_tests': '7,057,901', 'tests_per_1m_population': '1,291,611'}, {'country_name': 'Jordan', 'cases': '1,694,216', 'deaths': '14,048', 'region': '', 'total_recovered': '1,678,941', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '124', 'active_cases': '1,227', 'total_cases_per_1m_population': '163,125', 'deaths_per_1m_population': '1,353', 'total_tests': '16,670,254', 'tests_per_1m_population': '1,605,074'}, {'country_name': 'Georgia', 'cases': '1,654,255', 'deaths': '16,800', 'region': '', 'total_recovered': '1,635,791', 'new_deaths': '3', 'new_cases': '92', 'serious_critical': '0', 'active_cases': '1,664', 'total_cases_per_1m_population': '416,129', 'deaths_per_1m_population': '4,226', 'total_tests': '16,807,205', 'tests_per_1m_population': '4,227,861'}, {'country_name': 'Pakistan', 'cases': '1,527,856', 'deaths': '30,369', 'region': '', 'total_recovered': '1,493,998', 'new_deaths': '0', 'new_cases': '105', 'serious_critical': '186', 'active_cases': '3,489', 'total_cases_per_1m_population': '6,683', 'deaths_per_1m_population': '133', 'total_tests': '28,048,307', 'tests_per_1m_population': '122,679'}, {'country_name': 'Ireland', 'cases': '1,509,536', 'deaths': '6,996', 'region': '', 'total_recovered': '1,415,949', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '41', 'active_cases': '86,591', 'total_cases_per_1m_population': '299,669', 'deaths_per_1m_population': '1,389', 'total_tests': '12,016,948', 'tests_per_1m_population': '2,385,571'}, {'country_name': 'Norway', 'cases': '1,423,509', 'deaths': '2,871', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '20', 'active_cases': 'N/A', 'total_cases_per_1m_population': '258,925', 'deaths_per_1m_population': '522', 'total_tests': '11,002,430', 'tests_per_1m_population': '2,001,256'}, {'country_name': 'Kazakhstan', 'cases': '1,305,457', 'deaths': '13,660', 'region': '', 'total_recovered': '1,290,988', 'new_deaths': '0', 'new_cases': '10', 'serious_critical': '24', 'active_cases': '809', 'total_cases_per_1m_population': '68,056', 'deaths_per_1m_population': '712', 'total_tests': '11,575,012', 'tests_per_1m_population': '603,428'}, {'country_name': 'Hong Kong', 'cases': '1,201,431', 'deaths': '9,236', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '115', 'active_cases': 'N/A', 'total_cases_per_1m_population': '157,942', 'deaths_per_1m_population': '1,214', 'total_tests': '44,972,952', 'tests_per_1m_population': '5,912,223'}, {'country_name': 'Singapore', 'cases': '1,180,124', 'deaths': '1,325', 'region': '', 'total_recovered': '1,109,387', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '9', 'active_cases': '69,412', 'total_cases_per_1m_population': 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{'country_name': 'Vanuatu', 'cases': '6,793', 'deaths': '12', 'region': '', 'total_recovered': '5,991', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '5', 'active_cases': '790', 'total_cases_per_1m_population': '21,222', 'deaths_per_1m_population': '37', 'total_tests': '24,976', 'tests_per_1m_population': '78,027'}, {'country_name': 'St. Vincent Grenadines', 'cases': '6,779', 'deaths': '106', 'region': '', 'total_recovered': '6,641', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '32', 'total_cases_per_1m_population': '60,757', 'deaths_per_1m_population': '950', 'total_tests': '98,860', 'tests_per_1m_population': '886,033'}, {'country_name': 'British Virgin Islands', 'cases': '6,296', 'deaths': '62', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1', 'active_cases': 'N/A', 'total_cases_per_1m_population': '205,792', 'deaths_per_1m_population': '2,027', 'total_tests': '102,862', 'tests_per_1m_population': '3,362,163'}, {'country_name': 'Sao Tome and Principe', 'cases': '5,953', 'deaths': '73', 'region': '', 'total_recovered': '5,875', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '5', 'total_cases_per_1m_population': '26,282', 'deaths_per_1m_population': '322', 'total_tests': '29,036', 'tests_per_1m_population': '128,193'}, {'country_name': 'Turks and Caicos', 'cases': '5,941', 'deaths': '36', 'region': '', 'total_recovered': '5,862', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '4', 'active_cases': '43', 'total_cases_per_1m_population': '149,791', 'deaths_per_1m_population': '908', 'total_tests': '478,593', 'tests_per_1m_population': '12,066,789'}, {'country_name': 'Saint Kitts and Nevis', 'cases': '5,561', 'deaths': '43', 'region': '', 'total_recovered': '5,517', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '1', 'total_cases_per_1m_population': '103,215', 'deaths_per_1m_population': '798', 'total_tests': '65,141', 'tests_per_1m_population': '1,209,046'}, {'country_name': 'Cook Islands', 'cases': '4,727', 'deaths': '0', 'region': '', 'total_recovered': '3,990', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '737', 'total_cases_per_1m_population': '268,686', 'deaths_per_1m_population': '0', 'total_tests': '15,740', 'tests_per_1m_population': '894,674'}, {'country_name': 'St. Barth', 'cases': '4,432', 'deaths': '6', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': 'N/A', 'total_cases_per_1m_population': '446,279', 'deaths_per_1m_population': '604', 'total_tests': '78,646', 'tests_per_1m_population': '7,919,243'}, {'country_name': 'Palau', 'cases': '4,396', 'deaths': '6', 'region': '', 'total_recovered': '3,879', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1', 'active_cases': '511', 'total_cases_per_1m_population': '240,877', 'deaths_per_1m_population': '329', 'total_tests': '45,500', 'tests_per_1m_population': '2,493,151'}, {'country_name': 'Kiribati', 'cases': '3,076', 'deaths': '13', 'region': '', 'total_recovered': '2,597', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '3', 'active_cases': '466', 'total_cases_per_1m_population': '25,058', 'deaths_per_1m_population': '106', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Anguilla', 'cases': '2,731', 'deaths': '9', 'region': '', 'total_recovered': '2,716', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '4', 'active_cases': '6', 'total_cases_per_1m_population': '179,141', 'deaths_per_1m_population': '590', 'total_tests': '51,382', 'tests_per_1m_population': '3,370,417'}, {'country_name': 'Saint Pierre Miquelon', 'cases': '2,641', 'deaths': '1', 'region': '', 'total_recovered': '2,449', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '1', 'active_cases': '191', 'total_cases_per_1m_population': '459,864', 'deaths_per_1m_population': '174', 'total_tests': '22,941', 'tests_per_1m_population': '3,994,602'}, {'country_name': 'Diamond Princess', 'cases': '712', 'deaths': '13', 'region': '', 'total_recovered': '699', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '0', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Wallis and Futuna', 'cases': '454', 'deaths': '7', 'region': '', 'total_recovered': '438', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '9', 'total_cases_per_1m_population': '41,713', 'deaths_per_1m_population': '643', 'total_tests': '20,508', 'tests_per_1m_population': '1,884,234'}, {'country_name': 'Montserrat', 'cases': '183', 'deaths': '2', 'region': '', 'total_recovered': '174', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '7', 'total_cases_per_1m_population': '36,622', 'deaths_per_1m_population': '400', 'total_tests': '9,700', 'tests_per_1m_population': '1,941,165'}, {'country_name': 'Falkland Islands', 'cases': '128', 'deaths': '0', 'region': '', 'total_recovered': 'N/A', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': 'N/A', 'total_cases_per_1m_population': '34,944', 'deaths_per_1m_population': '0', 'total_tests': '8,632', 'tests_per_1m_population': '2,356,538'}, {'country_name': 'Macao', 'cases': '82', 'deaths': '0', 'region': '', 'total_recovered': '82', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '123', 'deaths_per_1m_population': '0', 'total_tests': '5,375', 'tests_per_1m_population': '8,079'}, {'country_name': 'Vatican City', 'cases': '29', 'deaths': '0', 'region': '', 'total_recovered': '29', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '36,025', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Marshall Islands', 'cases': '15', 'deaths': '0', 'region': '', 'total_recovered': '7', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '8', 'total_cases_per_1m_population': '250', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Western Sahara', 'cases': '10', 'deaths': '1', 'region': '', 'total_recovered': '9', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '16', 'deaths_per_1m_population': '2', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'MS Zaandam', 'cases': '9', 'deaths': '2', 'region': '', 'total_recovered': '7', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '0', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Niue', 'cases': '8', 'deaths': '0', 'region': '', 'total_recovered': '7', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '1', 'total_cases_per_1m_population': '4,860', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Nauru', 'cases': '3', 'deaths': '0', 'region': '', 'total_recovered': '3', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '274', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Saint Helena', 'cases': '2', 'deaths': '0', 'region': '', 'total_recovered': '2', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '327', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}, {'country_name': 'Micronesia', 'cases': '1', 'deaths': '0', 'region': '', 'total_recovered': '1', 'new_deaths': '0', 'new_cases': '0', 'serious_critical': '0', 'active_cases': '0', 'total_cases_per_1m_population': '9', 'deaths_per_1m_population': '0', 'total_tests': '0', 'tests_per_1m_population': '0'}], 'statistic_taken_at': '2022-04-24 11:18:01', 'world_total': {'total_cases': '509,268,964', 'new_cases': '204,268', 'total_deaths': '6,242,509', 'new_deaths': '630', 'total_recovered': '461,827,849', 'active_cases': '41,198,606', 'serious_critical': '42,510', 'total_cases_per_1m_population': '65,334', 'deaths_per_1m_population': '800.9', 'statistic_taken_at': '2022-04-24 11:18:01'}}
World Totals
total_cases 509,268,964
new_cases 204,268
total_deaths 6,242,509
new_deaths 630
total_recovered 461,827,849
active_cases 41,198,606
serious_critical 42,510
total_cases_per_1m_population 65,334
deaths_per_1m_population 800.9
statistic_taken_at 2022-04-24 11:18:01

Country Totals
country_name USA
cases 82,649,779
deaths 1,018,316
region 
total_recovered 80,434,925
new_deaths 0
new_cases 0
serious_critical 1,465
active_cases 1,196,538
total_cases_per_1m_population 247,080
deaths_per_1m_population 3,044
total_tests 1,000,275,726
tests_per_1m_population 2,990,303

Digital Coin Example

This example provides digital coin feedback (ie Bitcoin). It include popularity, price, symbols, etc.

  • A valid X-RapidAPI-Key is required. Look in code for link to RapidAPI page
  • Read all comments in code for further guidance
# RapidAPI page https://rapidapi.com/Coinranking/api/coinranking1/

# Begin Rapid API Code
import requests

url = "https://coinranking1.p.rapidapi.com/coins"
querystring = {"referenceCurrencyUuid":"yhjMzLPhuIDl","timePeriod":"24h","tiers[0]":"1","orderBy":"marketCap","orderDirection":"desc","limit":"50","offset":"0"}
headers = {
	"X-RapidAPI-Key": "8677538c65mshfd1d85d7adf047fp17a8a1jsn7a54a04df28c",  # place your key here
	"X-RapidAPI-Host": "coinranking1.p.rapidapi.com"
}

response = requests.request("GET", url, headers=headers, params=querystring)
print(response.text)
# End Rapid API Code
json = response.json()  # convert response to python json object

# Observe data from an API.  This is how data transports over the internet in a "JSON" text form
# - The JSON "text" is formed in dictionary {} and list [] divisions
# - To read the result, Data Scientist of  Developer converts JSON into human readable form
# - Review the first line, look for the keys --  "status" and "data"
{"status":"success","data":{"stats":{"total":1497,"totalCoins":15880,"totalMarkets":29488,"totalExchanges":173,"totalMarketCap":"983092195226","total24hVolume":"62522243065"},"coins":[{"uuid":"Qwsogvtv82FCd","symbol":"BTC","name":"Bitcoin","color":"#f7931A","iconUrl":"https://cdn.coinranking.com/bOabBYkcX/bitcoin_btc.svg","marketCap":"384396711744","price":"20050.588617816276","listedAt":1330214400,"tier":1,"change":"-0.35","rank":1,"sparkline":["20059.867295666423","20076.093176051232","20151.890849888772","20202.560785968533","20290.02525346487","20343.352588427868","20334.77324006421","20370.744103393576","20354.175159985676","20286.946383463266","20221.082063626618","20206.8774387923","20157.442790086116","20144.256994287003","20142.99372455771","20197.64873821566","20225.706944212376","20149.950441611665","20002.17409298757","20070.384704834672","20045.26370696414","20087.164724340575","20090.153831851938","20040.02926606557","20037.377022169472"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/Qwsogvtv82FCd+bitcoin-btc","24hVolume":"37719427477","btcPrice":"1"},{"uuid":"razxDUgYGNAdQ","symbol":"ETH","name":"Ethereum","color":"#3C3C3D","iconUrl":"https://cdn.coinranking.com/rk4RKHOuW/eth.svg","marketCap":"166451081453","price":"1360.8207890139563","listedAt":1438905600,"tier":1,"change":"0.77","rank":2,"sparkline":["1349.1536952103615","1349.6115391895405","1353.0667055365177","1357.7833166135945","1372.394928332469","1376.0126532137767","1373.6436908365515","1374.5644368659239","1374.9603611587072","1370.6922677887756","1366.587933215061","1365.363716012376","1360.007306516396","1359.0696726570475","1359.026206129542","1365.8411621832695","1370.5078135981948","1367.3738593762937","1360.3695113387296","1365.4638437089952","1362.56551220177","1364.0816571730534","1363.2258805204012","1358.584774485079","1359.8086711776398"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/razxDUgYGNAdQ+ethereum-eth","24hVolume":"11637776618","btcPrice":"0.06786936857328851"},{"uuid":"HIVsRcGKkPFtW","symbol":"USDT","name":"Tether 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Token","color":"#77cced","iconUrl":"https://cdn.coinranking.com/Wp6LFY6ZZ/8000.png","marketCap":"1211116708","price":"1.5057604515821998","listedAt":1627361901,"tier":1,"change":"-0.75","rank":49,"sparkline":["1.515505023780889","1.5153991140221856","1.5234981311652935","1.5312545942144589","1.547483619641459","1.5585683822058065","1.5585300003262343","1.5634745967642707","1.5609861407139445","1.5596401812961156","1.5406474499034097","1.54080988914247","1.539151674920328","1.5482681954633768","1.558240310462502","1.5603594874979176","1.5597372857677925","1.5518129527005042","1.5270971968223856","1.530103055029532","1.5258445531536415","1.5249109384583606","1.5193136087260946","1.5093489685264165","1.5054730003864654"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/Pe93bIOD2+lidodaotoken-ldo","24hVolume":"9504633","btcPrice":"0.000075098067208073"},{"uuid":"iAzbfXiBBKkR6","symbol":"EOS","name":"EOS","color":"#443f54","iconUrl":"https://cdn.coinranking.com/PqOYrWSje/eos2.svg","marketCap":"1154965070","price":"1.1683838023142752","listedAt":1498694400,"tier":1,"change":"-0.24","rank":50,"sparkline":["1.1695196729008002","1.169929577769117","1.17337875767093","1.1770980030018534","1.182271601349345","1.1861811454728544","1.1856185434086848","1.1878745623534273","1.1880708122840224","1.1844566353576085","1.178938403948196","1.176179084504373","1.1767337450378503","1.1774035408473298","1.1792010873904666","1.182706268569615","1.1833249490814453","1.180061337313964","1.1761909380475553","1.1779386584994689","1.1752700483813021","1.1758086971320405","1.1738974504177744","1.170542864812288","1.169607888345535"],"lowVolume":false,"coinrankingUrl":"https://coinranking.com/coin/iAzbfXiBBKkR6+eos-eos","24hVolume":"159034174","btcPrice":"0.000058271795635769"}]}}

Formatting Digital Coin example

JSON text transferred from the API in the previous cell was converted to a Python Dictionary called json. The "coins" in the dictionary contain a list of the most relevant data. Look at the code and comments to see how the original text is turned into something understandable. Additionally, there are error check to make sure we are starting the code with the expectation that the API was run correctly.

"""
This cell is dependent on valid run of API above.
- try and except code is making sure "json" was properly run above
- inside second try is code that is used to process Coin API data

Note.  Run this cell repeatedly to format data without re-activating API
"""

try:
    print("JSON data is Python type: " + str(type(json)))
    try:
        # Extracting Coins JSON status, if the API worked
        status = json.get('status')
        print("API status: " + status)
        print()
        
        # Extracting Coins JSON data, data about the coins
        data = json.get('data')
        
        # Procedural abstraction of Print code for coins
        def print_coin(c):
            print(c["symbol"], c["price"])
            print("Icon Url: " + c["iconUrl"])
            print("Rank Url: " + c["coinrankingUrl"])

        # Coins data was observed to be a list
        for coin in data['coins']:
            print_coin(coin)
            print()
            
    except:
        print("Did you insert a valid key in X-RapidAPI-Key of API cell above?")
        print(json)
except:
    print("This cell is dependent on running API call in cell above!")
JSON data is Python type: <class 'dict'>
API status: success

BTC 20050.588617816276
Icon Url: https://cdn.coinranking.com/bOabBYkcX/bitcoin_btc.svg
Rank Url: https://coinranking.com/coin/Qwsogvtv82FCd+bitcoin-btc

ETH 1360.8207890139563
Icon Url: https://cdn.coinranking.com/rk4RKHOuW/eth.svg
Rank Url: https://coinranking.com/coin/razxDUgYGNAdQ+ethereum-eth

USDT 1.0000426260943955
Icon Url: https://cdn.coinranking.com/mgHqwlCLj/usdt.svg
Rank Url: https://coinranking.com/coin/HIVsRcGKkPFtW+tetherusd-usdt

USDC 0.9998346125413244
Icon Url: https://cdn.coinranking.com/jkDf8sQbY/usdc.svg
Rank Url: https://coinranking.com/coin/aKzUVe4Hh_CON+usdc-usdc

BNB 287.6133195081034
Icon Url: https://cdn.coinranking.com/B1N19L_dZ/bnb.svg
Rank Url: https://coinranking.com/coin/WcwrkfNI4FUAe+binancecoin-bnb

XRP 0.5031237099254203
Icon Url: https://cdn.coinranking.com/B1oPuTyfX/xrp.svg
Rank Url: https://coinranking.com/coin/-l8Mn2pVlRs-p+xrp-xrp

BUSD 1.00012484769288
Icon Url: https://cdn.coinranking.com/6SJHRfClq/busd.svg
Rank Url: https://coinranking.com/coin/vSo2fu9iE1s0Y+binanceusd-busd

ADA 0.4297138682358795
Icon Url: https://cdn.coinranking.com/ryY28nXhW/ada.svg
Rank Url: https://coinranking.com/coin/qzawljRxB5bYu+cardano-ada

SOL 33.76469173443809
Icon Url: https://cdn.coinranking.com/yvUG4Qex5/solana.svg
Rank Url: https://coinranking.com/coin/zNZHO_Sjf+solana-sol

DOGE 0.06385480718206922
Icon Url: https://cdn.coinranking.com/H1arXIuOZ/doge.svg
Rank Url: https://coinranking.com/coin/a91GCGd_u96cF+dogecoin-doge

MATIC 0.839325182264829
Icon Url: https://cdn.coinranking.com/WulYRq14o/polygon.png
Rank Url: https://coinranking.com/coin/uW2tk-ILY0ii+polygon-matic

DOT 6.366783786722711
Icon Url: https://cdn.coinranking.com/RsljYqnbu/polkadot.svg
Rank Url: https://coinranking.com/coin/25W7FG7om+polkadot-dot

SHIB 0.000011275587037567
Icon Url: https://cdn.coinranking.com/D69LfI-tm/shib.png
Rank Url: https://coinranking.com/coin/xz24e0BjL+shibainu-shib

DAI 0.9997789908394189
Icon Url: https://cdn.coinranking.com/mAZ_7LwOE/mutli-collateral-dai.svg
Rank Url: https://coinranking.com/coin/MoTuySvg7+dai-dai

TRX 0.06255722326357717
Icon Url: https://cdn.coinranking.com/behejNqQs/trx.svg
Rank Url: https://coinranking.com/coin/qUhEFk1I61atv+tron-trx

WETH 1359.4981809360881
Icon Url: https://cdn.coinranking.com/KIviQyZlt/weth.svg
Rank Url: https://coinranking.com/coin/Mtfb0obXVh59u+wrappedether-weth

UNI 6.936561424012208
Icon Url: https://cdn.coinranking.com/1heSvUgtl/uniswap-v2.svg?size=48x48
Rank Url: https://coinranking.com/coin/_H5FVG9iW+uniswap-uni

AVAX 17.14594797401202
Icon Url: https://cdn.coinranking.com/S0C6Cw2-w/avax-avalanche.png
Rank Url: https://coinranking.com/coin/dvUj0CzDZ+avalanche-avax

WBTC 20055.2260208741
Icon Url: https://cdn.coinranking.com/o3-8cvCHu/wbtc[1].svg
Rank Url: https://coinranking.com/coin/x4WXHge-vvFY+wrappedbtc-wbtc

ATOM 13.120687965692522
Icon Url: https://cdn.coinranking.com/HJzHboruM/atom.svg
Rank Url: https://coinranking.com/coin/Knsels4_Ol-Ny+cosmos-atom

OKB 15.645380713055392
Icon Url: https://cdn.coinranking.com/xcZdYtX6E/okx.png
Rank Url: https://coinranking.com/coin/PDKcptVnzJTmN+okb-okb

LTC 53.757878248876345
Icon Url: https://cdn.coinranking.com/BUvPxmc9o/ltcnew.svg
Rank Url: https://coinranking.com/coin/D7B1x_ks7WhV5+litecoin-ltc

FTT 24.655645967342593
Icon Url: https://cdn.coinranking.com/WyBm4_EzM/ftx-exchange.svg
Rank Url: https://coinranking.com/coin/NfeOYfNcl+ftxtoken-ftt

ETC 28.02652284916314
Icon Url: https://cdn.coinranking.com/rJfyor__W/etc.svg
Rank Url: https://coinranking.com/coin/hnfQfsYfeIGUQ+ethereumclassic-etc

XMR 145.6538915328271
Icon Url: https://cdn.coinranking.com/Syz-oSd_Z/xmr.svg
Rank Url: https://coinranking.com/coin/3mVx2FX_iJFp5+monero-xmr

ALGO 0.3507804958102819
Icon Url: https://cdn.coinranking.com/lzbmCkUGB/algo.svg
Rank Url: https://coinranking.com/coin/TpHE2IShQw-sJ+algorand-algo

XLM 0.12036277112551647
Icon Url: https://cdn.coinranking.com/78CxK1xsp/Stellar_symbol_black_RGB.svg
Rank Url: https://coinranking.com/coin/f3iaFeCKEmkaZ+stellar-xlm

BCH 118.9250319352345
Icon Url: https://cdn.coinranking.com/By8ziihX7/bch.svg
Rank Url: https://coinranking.com/coin/ZlZpzOJo43mIo+bitcoincash-bch

BTCB 20150.072809669193
Icon Url: https://cdn.coinranking.com/Swr_SeZio/4023.png
Rank Url: https://coinranking.com/coin/9_jH48RBW+bitcoinbep2-btcb

NEAR 3.6347727317650733
Icon Url: https://cdn.coinranking.com/Cth83dCnl/near.png
Rank Url: https://coinranking.com/coin/DCrsaMv68+nearprotocol-near

CRO 0.10976011061029982
Icon Url: https://cdn.coinranking.com/2o91jm73M/cro.svg
Rank Url: https://coinranking.com/coin/65PHZTpmE55b+cronos-cro

LUNC 0.000291435701870453
Icon Url: https://cdn.coinranking.com/F-PJdF8Um/LUNA.svg
Rank Url: https://coinranking.com/coin/AaQUAs2Mc+terraclassic-lunc

WEMIX 1.80696506819927
Icon Url: https://cdn.coinranking.com/1N84MQsoO/7548.png
Rank Url: https://coinranking.com/coin/08CsQa-Ov+wemixtoken-wemix

FLOW 1.7056604456284914
Icon Url: https://cdn.coinranking.com/xh8X8QBss/flow.png
Rank Url: https://coinranking.com/coin/QQ0NCmjVq+flow-flow

ENS 17.286849127221885
Icon Url: https://cdn.coinranking.com/fmYxEUV5a/cropped-logo37-Converted-01-192x192.png
Rank Url: https://coinranking.com/coin/SbWqqTui-+energyswap-ens

FIL 5.5410297259453545
Icon Url: https://cdn.coinranking.com/vUmvv-IQA/FIL3-filecoin.svg?size=48x48
Rank Url: https://coinranking.com/coin/ymQub4fuB+filecoin-fil

ICP 6.017911413769887
Icon Url: https://cdn.coinranking.com/1uJ_RVrmC/dfinity-icp.png
Rank Url: https://coinranking.com/coin/aMNLwaUbY+internetcomputerdfinity-icp

VET 0.023517408397491665
Icon Url: https://cdn.coinranking.com/B1_TDu9Dm/VEN.svg
Rank Url: https://coinranking.com/coin/FEbS54wxo4oIl+vechain-vet

CAKE 4.674546606863595
Icon Url: https://cdn.coinranking.com/aRtgdw7bQ/pancakeswap-cake-logo.png
Rank Url: https://coinranking.com/coin/ncYFcP709+pancakeswap-cake

MANA 0.7000273626069446
Icon Url: https://cdn.coinranking.com/ph_svUzXs/decentraland(1).svg
Rank Url: https://coinranking.com/coin/tEf7-dnwV3BXS+decentraland-mana

IMX 0.7639159982591268
Icon Url: https://cdn.coinranking.com/naRGT2Y_X/10603.png
Rank Url: https://coinranking.com/coin/Z96jIvLU7+immutablex-imx

HBAR 0.058002031910644396
Icon Url: https://cdn.coinranking.com/dSCnSLilQ/hedera.svg
Rank Url: https://coinranking.com/coin/jad286TjB+hedera-hbar

FRAX 1.0008852228927394
Icon Url: https://cdn.coinranking.com/BpVNCX-NM/frax.png
Rank Url: https://coinranking.com/coin/KfWtaeV1W+frax-frax

QNT 138.0952099413945
Icon Url: https://cdn.coinranking.com/a-i9Dl392/quant.png
Rank Url: https://coinranking.com/coin/bauj_21eYVwso+quant-qnt

EGLD 55.08648132138131
Icon Url: https://cdn.coinranking.com/X62ruAuZQ/Elrond.svg
Rank Url: https://coinranking.com/coin/omwkOTglq+elrond-egld

XTZ 1.430787973407242
Icon Url: https://cdn.coinranking.com/HkLUdilQ7/xtz.svg
Rank Url: https://coinranking.com/coin/fsIbGOEJWbzxG+tezos-xtz

CHZ 0.21604636540439548
Icon Url: https://cdn.coinranking.com/gTsOlSnwR/4066.png
Rank Url: https://coinranking.com/coin/GSCt2y6YSgO26+chiliz-chz

SAND 0.8493242858023546
Icon Url: https://cdn.coinranking.com/kd_vwOcnI/sandbox.png
Rank Url: https://coinranking.com/coin/pxtKbG5rg+thesandbox-sand

LDO 1.5057604515821998
Icon Url: https://cdn.coinranking.com/Wp6LFY6ZZ/8000.png
Rank Url: https://coinranking.com/coin/Pe93bIOD2+lidodaotoken-ldo

EOS 1.1683838023142752
Icon Url: https://cdn.coinranking.com/PqOYrWSje/eos2.svg
Rank Url: https://coinranking.com/coin/iAzbfXiBBKkR6+eos-eos

Go deeper into APIs

Web Development vs Jupyter Notebook. A notebook is certainly a great place to start. But, for your end of Trimester project we want you to build the skill to reference and use APIs within your Project. Here are some resources to get you started with this journey.

Hacks

Find and use an API as part of your project. An API and a little coding logic will be a big step toward getting meaningful data for a project. There are many API providers, find one that might work for your project to complete this hack. When picking an API you are looking for something that will work with either JavaScript Fetch or Python Request. Here are some samples, these are not qualified in any way.

Show API and format results in either Web Page or Jupyter Notebook. Ultimately, I will expect that we do APIs in backend (Python/Flask). However, for this Hack you can pick your preference. We will discuss pros and cons in next API tech talk.