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🐍 7 “бесполезных” функций Python, которые на самом деле полезны

Инструменты из стандартной библиотеки, которые могут удивить:

1. textwrap.dedent() — удаляет отступы у многострочного текста.

import textwrap
text = textwrap.dedent(\"\"\"
Привет!
Это текст с отступами.
\"\"\").strip()
print(text)


2. difflib.get_close_matches() — находит похожие строки.

import difflib
words = ["python", "java", "javascript"]
print(difflib.get_close_matches("javascrip", words))


3. uuid.uuid4() — генерирует уникальный ID.

import uuid
print(uuid.uuid4())


4. shutil.get_terminal_size() — узнаёт размеры терминала.

import shutil
columns, rows = shutil.get_terminal_size()
print(f"Размер терминала: {columns}x{rows}")


5. functools.lru_cache() — кэширует результаты функции.

from functools import lru_cache
@lru_cache(maxsize=None)
def fib(n):
if n < 2:
return n
return fib(n-1) fib(n-2)
print(fib(100))


6. itertools.groupby() — группирует элементы по ключу.

from itertools import groupby
data = [('fruit', 'apple'), ('fruit', 'banana'), ('veg', 'carrot')]
for key, group in groupby(data, lambda x: x[0]):
print(key, list(group))


7. contextlib.suppress() — элегантная альтернатива try-except.

from contextlib import suppress
with suppress(FileNotFoundError):
open("not_exist.txt")


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🐍 7 “бесполезных” функций Python, которые на самом деле полезны

Инструменты из стандартной библиотеки, которые могут удивить:

1. textwrap.dedent() — удаляет отступы у многострочного текста.


import textwrap
text = textwrap.dedent(\"\"\"
Привет!
Это текст с отступами.
\"\"\").strip()
print(text)


2. difflib.get_close_matches() — находит похожие строки.

import difflib
words = ["python", "java", "javascript"]
print(difflib.get_close_matches("javascrip", words))


3. uuid.uuid4() — генерирует уникальный ID.

import uuid
print(uuid.uuid4())


4. shutil.get_terminal_size() — узнаёт размеры терминала.

import shutil
columns, rows = shutil.get_terminal_size()
print(f"Размер терминала: {columns}x{rows}")


5. functools.lru_cache() — кэширует результаты функции.

from functools import lru_cache
@lru_cache(maxsize=None)
def fib(n):
if n < 2:
return n
return fib(n-1) fib(n-2)
print(fib(100))


6. itertools.groupby() — группирует элементы по ключу.

from itertools import groupby
data = [('fruit', 'apple'), ('fruit', 'banana'), ('veg', 'carrot')]
for key, group in groupby(data, lambda x: x[0]):
print(key, list(group))


7. contextlib.suppress() — элегантная альтернатива try-except.

from contextlib import suppress
with suppress(FileNotFoundError):
open("not_exist.txt")


@pythonl

BY Python/ django


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Telegram has exploded as a hub for cybercriminals looking to buy, sell and share stolen data and hacking tools, new research shows, as the messaging app emerges as an alternative to the dark web.An investigation by cyber intelligence group Cyberint, together with the Financial Times, found a ballooning network of hackers sharing data leaks on the popular messaging platform, sometimes in channels with tens of thousands of subscribers, lured by its ease of use and light-touch moderation.

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