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Изворен канал @pythonotes · Post #309 · 2 фев.

Метод строки split() разделяет строку на несколько строк по указанному символу >>> "a_b_c".split('_') ['a', 'b', 'c'] Можно указать максимальное количество разделений >>> "a_b_c".split('_', 1) ['a', 'b_c'] Или резать с другой стороны с помощью rsplit() (right split) >>> "a_b_c".rsplit('_', 1) ['a_b', 'c'] А что будет если оставить аргументы пустыми? >>> "a_b_c".split() ['a_b_c'] Получаем список с одним элементом, потому что по умолчанию используется пробельный символ. >>> "a b c".split() ['a', 'b', 'c'] То есть это равнозначно такому вызову? >>> "a b c".split(" ") ['a', 'b', 'c'] Кажется да, но нет! Давайте попробуем добавить пробелов между буквами >>> "a b c".split(" ") ['a', '', '', 'b', '', '', 'c'] И вот картина уже не так предсказуема 😕 А вот что будет по умолчанию >>> "a b c".split() ['a', 'b', 'c'] Всё снова красиво! 🤩 По умолчанию в качестве разделителя используется любой пробельный символ, будь то табуляция или новая строка. Включая несколько таких символов идущих подряд. А также игнорируются пробельные символы по краям строки. >>> "a\t b\n c ".split() ['a', 'b', 'c'] Аналогичный способ можно собрать с помощью регулярного выражения. Но пробелы по краям строки придется обрабатывать дополнительно. >>> import re >>> re.split(r"\s+", ' a b c '.strip()) ['a', 'b', 'c'] Здесь тоже можно указать количество разделений >>> re.split(r"\s+", 'a b c', 1) ['a', 'b c'] А что если мы хотим написать красиво, то есть split() без аргументов, но при этом указать количество разделений? В этом случае первым аргументом передаём None >>> "a\n b c".split(None, 1) ['a', 'b c'] Данный метод не учитывает строки с пробелами, взятые в кавычки 'a "b c" '.split() ['a', '"b', 'c"'] Но для таких случаев есть другие способы. #tricks#basic

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Crypto M - Crypto News

@CryptoM · Post #65371 · 13.04.2026 г., 02:55

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🚀 BTC Decline Affects Whale's Investment Strategy On April 13, BTC experienced a slight decline, impacting the HYPE token, which fell before recovering above $41. According to BlockBeats, a major investor known for profiting from a long BTC exchange rate strategy is facing pressure, with a capital withdrawal of $1.9 million this week. The investor currently holds a BTC long position with 40x leverage, valued at $30.06 million at an average price of $70,557, and a HYPE short position with 5x leverage, valued at $23.03 million at an average price of $38.93. The positions were established during a previous HYPE surge, with the full setup completed by March 20, totaling approximately $53 million. Since the establishment of these positions, the investor has incurred a net loss of about $1.32 million, with the portfolio yet to achieve positive returns. #BTC#HYPE#WhaleInvestment#Leverage#CapitalWithdrawal#CryptoStrategy#BTCDecline#InvestmentLoss#CryptoMarket

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Crypto M - Crypto News

@CryptoM · Post #64862 · 10.04.2026 г., 05:14

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🚀 Cryptocurrency Whale Faces Losses Amid Market Fluctuations On April 10, according to BlockBeats, monitoring by Hyperinsight revealed that a major cryptocurrency investor, known for leveraging market downturns, has faced challenges with their trading strategy. This investor has historically profited by betting on the 'BTC/altcoin' exchange rate during market declines. However, with Bitcoin stabilizing and HYPE gaining strength, surpassing $40 with a daily increase of over 5%, both sides of the investor's strategy are under pressure, resulting in a daily capital withdrawal of $900,000. Currently, the investor holds a long position in Bitcoin with a 40x leverage, valued at $30.4 million, and a short position in HYPE with a 5x leverage, valued at $23.2 million. The investor began positioning during HYPE's previous surge and completed their setup by March 20, with a total scale of approximately $53 million. Since then, they have incurred a net loss of about $300,000, without achieving positive returns. Previously, this investor employed a similar strategy, investing around $50 million to go long on Bitcoin while shorting eight other cryptocurrencies, including ETH, XRP, and ADA. This approach proved successful, maintaining a total cycle profit of approximately $37.1 million. #Cryptocurrency#Whale#MarketFluctuations#Bitcoin#HYPE#Leverage#CapitalWithdrawal#BTC#Altcoin#InvestorLosses#CryptoStrategy#BlockBeats#Hyperinsight#XRP

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#cryptocurrency #whale #marketfluctuations #bitcoin #hype #leverage #capitalwithdrawal #btc #altcoin #investorlosses #cryptostrategy #blockbeats #hyperinsight #xrp