Covid19py by Konstantinos Kamaropoulos A tiny Python package for easy access to up-to-date Coronavirus (COVID-19, SARS-CoV-2) cases data. ref:https://github.com/Kamaropoulos/COVID19Py https://pypi.org/project/COVID19Py/?fbclid=IwAR0zFKe_1Y6Nm0ak1n0W1ucFZcVT4VBWEP4LOFHJP-DgoL32kx3JCCxkGLQ

1. COVID19Py by Konstantinos Kamaropoulos
Python package for easy access to up-to-date Coronavirus (COVID-19, SARS-CoV-2) cases data.
Installation:
pip install COVID19Py
Example:
import COVID19Py
covid19 = COVID19Py.COVID19()
covid19 = COVID19Py.COVID19(data_source="csbs")
print(covid19.getLatest())
>>Output
{'confirmed': 1272115, 'deaths': 69374, 'recovered': 0}
##Turkey
covid19.getLocationByCountryCode("TR", timelines=True)
>>Output
[{'id': 213,
'country': 'Turkey',
'country_code': 'TR',
'country_population': 77804122,
'province': '',
'last_updated': '2020-04-06T23:05:01.184968Z',
'coordinates': {'latitude': '38.9637', 'longitude': '35.2433'},
'latest': {'confirmed': 27069, 'deaths': 574, 'recovered': 0},
'timelines': {'confirmed': {'latest': 27069,
'timeline': {'2020-01-22T00:00:00Z': 0,
'2020-01-23T00:00:00Z': 0,
'2020-01-24T00:00:00Z': 0,
'2020-01-25T00:00:00Z': 0,
'2020-01-26T00:00:00Z': 0,
'2020-01-27T00:00:00Z': 0,
'2020-01-28T00:00:00Z': 0,
'2020-01-29T00:00:00Z': 0,
'2020-01-30T00:00:00Z': 0,
'2020-01-31T00:00:00Z': 0,
'2020-02-01T00:00:00Z': 0,
'2020-02-02T00:00:00Z': 0,
'2020-02-03T00:00:00Z': 0,

2. '2020-02-04T00:00:00Z': 0,
'2020-02-05T00:00:00Z': 0,
'2020-02-06T00:00:00Z': 0,
'2020-02-07T00:00:00Z': 0,
'2020-02-08T00:00:00Z': 0,
'2020-02-09T00:00:00Z': 0,
'2020-02-10T00:00:00Z': 0,
'2020-02-11T00:00:00Z': 0,
'2020-02-12T00:00:00Z': 0,
'2020-02-13T00:00:00Z': 0,
'2020-02-14T00:00:00Z': 0,
'2020-02-15T00:00:00Z': 0,
'2020-02-16T00:00:00Z': 0,
'2020-02-17T00:00:00Z': 0,
'2020-02-18T00:00:00Z': 0,
'2020-02-19T00:00:00Z': 0,
'2020-02-20T00:00:00Z': 0,
'2020-02-21T00:00:00Z': 0,
'2020-02-22T00:00:00Z': 0,
'2020-02-23T00:00:00Z': 0,
'2020-02-24T00:00:00Z': 0,
'2020-02-25T00:00:00Z': 0,
'2020-02-26T00:00:00Z': 0,
'2020-02-27T00:00:00Z': 0,
'2020-02-28T00:00:00Z': 0,
'2020-02-29T00:00:00Z': 0,
'2020-03-01T00:00:00Z': 0,
'2020-03-02T00:00:00Z': 0,
'2020-03-03T00:00:00Z': 0,
'2020-03-04T00:00:00Z': 0,
'2020-03-05T00:00:00Z': 0,
'2020-03-06T00:00:00Z': 0,
'2020-03-07T00:00:00Z': 0,
'2020-03-08T00:00:00Z': 0,
'2020-03-09T00:00:00Z': 0,
'2020-03-10T00:00:00Z': 0,
'2020-03-11T00:00:00Z': 1,
'2020-03-12T00:00:00Z': 1,
'2020-03-13T00:00:00Z': 5,
'2020-03-14T00:00:00Z': 5,
'2020-03-15T00:00:00Z': 6,
'2020-03-16T00:00:00Z': 18,
'2020-03-17T00:00:00Z': 47,
'2020-03-18T00:00:00Z': 98,
'2020-03-19T00:00:00Z': 192,
'2020-03-20T00:00:00Z': 359,
'2020-03-21T00:00:00Z': 670,
'2020-03-22T00:00:00Z': 1236,
'2020-03-23T00:00:00Z': 1529,
'2020-03-24T00:00:00Z': 1872,
'2020-03-25T00:00:00Z': 2433,
'2020-03-26T00:00:00Z': 3629,
'2020-03-27T00:00:00Z': 5698,
'2020-03-28T00:00:00Z': 7402,
'2020-03-29T00:00:00Z': 9217,
'2020-03-30T00:00:00Z': 10827,
'2020-03-31T00:00:00Z': 13531,
'2020-04-01T00:00:00Z': 15679,

3. '2020-04-02T00:00:00Z': 18135,
'2020-04-03T00:00:00Z': 20921,
'2020-04-04T00:00:00Z': 23934,
'2020-04-05T00:00:00Z': 27069}},
'deaths': {'latest': 574,
'timeline': {'2020-01-22T00:00:00Z': 0,
'2020-01-23T00:00:00Z': 0,
'2020-01-24T00:00:00Z': 0,
'2020-01-25T00:00:00Z': 0,
'2020-01-26T00:00:00Z': 0,
'2020-01-27T00:00:00Z': 0,
'2020-01-28T00:00:00Z': 0,
'2020-01-29T00:00:00Z': 0,
'2020-01-30T00:00:00Z': 0,
'2020-01-31T00:00:00Z': 0,
'2020-02-01T00:00:00Z': 0,
'2020-02-02T00:00:00Z': 0,
'2020-02-03T00:00:00Z': 0,
'2020-02-04T00:00:00Z': 0,
'2020-02-05T00:00:00Z': 0,
'2020-02-06T00:00:00Z': 0,
'2020-02-07T00:00:00Z': 0,
'2020-02-08T00:00:00Z': 0,
'2020-02-09T00:00:00Z': 0,
'2020-02-10T00:00:00Z': 0,
'2020-02-11T00:00:00Z': 0,
'2020-02-12T00:00:00Z': 0,
'2020-02-13T00:00:00Z': 0,
'2020-02-14T00:00:00Z': 0,
'2020-02-15T00:00:00Z': 0,
'2020-02-16T00:00:00Z': 0,
'2020-02-17T00:00:00Z': 0,
'2020-02-18T00:00:00Z': 0,
'2020-02-19T00:00:00Z': 0,
'2020-02-20T00:00:00Z': 0,
'2020-02-21T00:00:00Z': 0,
'2020-02-22T00:00:00Z': 0,
'2020-02-23T00:00:00Z': 0,
'2020-02-24T00:00:00Z': 0,
'2020-02-25T00:00:00Z': 0,
'2020-02-26T00:00:00Z': 0,
'2020-02-27T00:00:00Z': 0,
'2020-02-28T00:00:00Z': 0,
'2020-02-29T00:00:00Z': 0,
'2020-03-01T00:00:00Z': 0,
'2020-03-02T00:00:00Z': 0,
'2020-03-03T00:00:00Z': 0,
'2020-03-04T00:00:00Z': 0,
'2020-03-05T00:00:00Z': 0,
'2020-03-06T00:00:00Z': 0,
'2020-03-07T00:00:00Z': 0,
'2020-03-08T00:00:00Z': 0,
'2020-03-09T00:00:00Z': 0,
'2020-03-10T00:00:00Z': 0,
'2020-03-11T00:00:00Z': 0,
'2020-03-12T00:00:00Z': 0,
'2020-03-13T00:00:00Z': 0,
'2020-03-14T00:00:00Z': 0,

4. '2020-03-15T00:00:00Z': 0,
'2020-03-16T00:00:00Z': 0,
'2020-03-17T00:00:00Z': 1,
'2020-03-18T00:00:00Z': 1,
'2020-03-19T00:00:00Z': 3,
'2020-03-20T00:00:00Z': 4,
'2020-03-21T00:00:00Z': 9,
'2020-03-22T00:00:00Z': 30,
'2020-03-23T00:00:00Z': 37,
'2020-03-24T00:00:00Z': 44,
'2020-03-25T00:00:00Z': 59,
'2020-03-26T00:00:00Z': 75,
'2020-03-27T00:00:00Z': 92,
'2020-03-28T00:00:00Z': 108,
'2020-03-29T00:00:00Z': 131,
'2020-03-30T00:00:00Z': 168,
'2020-03-31T00:00:00Z': 214,
'2020-04-01T00:00:00Z': 277,
'2020-04-02T00:00:00Z': 356,
'2020-04-03T00:00:00Z': 425,
data = covid19.getAll(timelines=True)
data
>>Output:
{'latest': {'confirmed': 359991, 'deaths': 10189, 'recovered': 0},
'locations': [{'id': 0,
'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'New York',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '40.71455', 'longitude': '-74.00714'},
'latest': {'confirmed': 72181, 'deaths': 3485, 'recovered': 0}},
{'id': 1,
'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'Nassau',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '40.74165225', 'longitude': '-73.5889961
9'},
'latest': {'confirmed': 15616, 'deaths': 162, 'recovered': 0}},
{'id': 2,
'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'Westchester',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '41.16319759', 'longitude': '-73.7560629
'},
'latest': {'confirmed': 14294, 'deaths': 197, 'recovered': 0}},
{'id': 3,

5. 'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'Suffolk',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '40.87732808', 'longitude': '-72.8589803
6'},
'latest': {'confirmed': 14185, 'deaths': 199, 'recovered': 0}},
{'id': 4,
'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'Rockland',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '41.152374', 'longitude': '-74.02401032'
},
'latest': {'confirmed': 5703, 'deaths': 69, 'recovered': 0}},
{'id': 5,
'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'Orange',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '41.40206825', 'longitude': '-74.3055956
7'},
'latest': {'confirmed': 3397, 'deaths': 53, 'recovered': 0}},
{'id': 6,
'country': 'US',
'country_code': 'US',
'country_population': 310232863,
'province': 'New York',
'county': 'Dutchess',
'last_updated': '2020-04-06T18:53:00Z',
'coordinates': {'latitude': '41.76477515', 'longitude': '-73.7428168
4'},
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by VOLKAN OBAN