Небольшой трик с регулярными выражениями который редко вижу в чужом коде.
Допустим, вам нужно распарсить простой текст и вытащить оттуда пары имя+телефон. Вернуть всё это надо в виде списка словарей. Возьмем очень простой пример текста.
>>> text = '''
>>> Alex:8999123456
>>> Mike:+799987654
>>> Oleg:+344456789
>>> '''
Соответственно, для выделения нужных элементов будем использовать группы. Получится такой паттерн:
(\w+):([\d+]+)
Как мы будем формировать словарь из найденных групп?
>>> import re
>>> results = []
>>> for match in re.finditer(r"(\w+):([\d+]+)", text):
>>> results.append({
>>> "name": match.group(1),
>>> "phone": match.group(2)
>>> })
>>> print(results)
[{'name': 'Alex', 'phone': '8999123456'}, ...]
Можно немного сократить запись используя zip
>>> results = []
>>> for match in re.finditer(r"(\w+):([\d+]+)", text):
>>> results.append(dict(zip(['name', 'phone'], match.groups())))
Но есть способ лучше! Это именованные группы в regex. Можно в паттерне указать имя группы и результат сразу забрать в виде словаря.
>>> for match in re.finditer(r"(?P<name>\w+):(?P<phone>[\d+]+)", text):
>>> results.append(match.groupdict())
То есть всё что я сделал, это добавил в начале группы (внутри сбокочек) такую запись:
(?P<group-name>...)
Теперь найденная группа имеет имя и можно обратиться к ней как к элементу списка
>>> name = match['name']
Либо забрать сразу весь словарь методом groupdict()
>>> match.groupdict()
#tricks#regex
If you have $10 in your wallet and no debt, you have more wealth than 25% of Americans.
Not because you’re rich… but because debt has so many people buried.
A reminder that sometimes, financial peace isn’t about how much you have—
It’s about how little you owe. 💡
Stay grounded. Stay grateful ❤️
#Countries
🔔@Everything_Science
Chinese government takes its officials and members of their families on prison tours on a regular basis to give officials an introduction to what awaits them if they should engage in corruption.
The tours include meet-and-greets with former government officials who were caught for corruption.
#Countries
🔔@Everything_Science
In Finland, the official World Wife-Carrying Championships have been held since 1992. In this competition, men carry their wives as fast as possible through a long obstacle course. In the end, the winner gets a beer for his wife's weight.
#Countries
🔔@Everything_Science
🌍 Monaco is the most densely populated country on Earth, with over 25,000 people per square kilometer. This tiny city-state squeezes more residents into each square mile than anywhere else. ✨
#population⚡#density⚡#Monaco⚡#countries⚡#geography⚡#nature⚡#earth
👉subscribe Amazing Geography🌍
https://django-localflavor.readthedocs.io/en/latest/
#django- #localflavor is a collection of assorted pieces of code that are useful for particular #countries or #cultures. These are called the “local flavor” add-ons and live in the localflavor package.
🇿🇦🌍South Africa is the 25th largest country in the world.
It borders Namibia, Botswana, Zimbabwe, Mozambique, Eswatini (formerly Swaziland), and Lesotho.
🌊 On the west, South Africa is washed by the Atlantic Ocean, while to the south and southeast it is bordered by the Indian Ocean.
📏 Its area is about 1.21 million sq. km — roughly twice the size of France or three times the size of Germany.
🏞 The country consists of nine provinces.
#Geography#SouthAfrica#Africa#Countries#Facts#DidYouKnow
Lesson 20 of my Uzbek self-study course with audio is here! Learn how to say countries, nationalities and languages in Uzbek. The lesson includes exercises, tables, a crossword puzzle and clear grammar explanations.
https://yep.uz/en/2025/09/lesson-20-countries-nationalities-languages-uzbek/
#uzbeklanguage#learnuzbek#uzbeklesson#languages#nationalities#countries#selfstudy#languagelearning