Hello, accidental visitor 2147483647

Import pandas and load data from CSV file: import pandas as pd df = pd.read_csv('https://raw.githubusercontent.com/sledilnik/data/master/csv/cases.csv', parse_dates=['date']) Check columns in dataframe df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 1005 entries, 0 to 1004 Data columns (total 10 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 date 1005 non-null datetime64[ns] 1 cases.confirmed 989 non-null float64 2 cases.confirmed.todate 1005 non-null int64 3 cases.active 992 non-null float64 4 cases.closed.todate 991 non-null float64 5 cases.recovered.todate 990 non-null float64 6 cases....

Just testing gohugo.io :) package main import "fmt" func main() { fmt.Println("Hello, World!") }