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4 Φεβ 2019 · If you need to search a longer string for a date, you could use regex to search for digits separated by forward-slashes: In [146]: import re In [152]: match = re.search(r'(\d+/\d+/\d+)','The date is 11/12/98') In [153]: match.group(1) Out[153]: '11/12/98'
10 Ιουλ 2010 · If the date is given in a fixed form, you can simply use a regular expression to extract the date and "datetime.datetime.strptime" to parse the date: import re from datetime import datetime match = re.search(r'\d{4}-\d{2}-\d{2}', text) date = datetime.strptime(match.group(), '%Y-%m-%d').date()
A RegEx, or Regular Expression, is a sequence of characters that forms a search pattern. RegEx can be used to check if a string contains the specified search pattern.
18 Νοε 2021 · Predict Nationality Using People’s Names In Python. Let’s get right into the code implementation. We’ll begin by importing the modules, and then the names and the nationalities dataset that we’ve chosen for this demonstration. Step 1: Importing Modules.
name2nat is a Python package that predicts the nationality of any name written in Roman letters. For example, it returns the correct output Korean for my name `Kyubyong Park'. Needless to say, it is not possible to guess somebody's nationality 100% right from their name.
31 Ιουλ 2018 · def get_path_list(directory, base_filename_list, saved_as_of): for template in base_filename_list: file_date = template.format(saved_as_of) print(f"looking for {file_date}") files = Path(directory).glob(file_date) for file in files: print(str(file)) if __name__ == "__main__":
This Python library provides information about names: Popularity (rank) Country (105 countries are supported) Gender. It can give you an answer to some of those questions: Who is Zoe? Likely a Female, United Kindgom. Knows Philippe? Likely a Male, France. And with the spelling Philipp? Male, Germany. How about Nikki? Likely a Female, United States.
