TGTGInsighttelegram intelligenceLIVE / telegram public index
← Python Заметки

TGINSIGHT SIMILAR POSTS

Најди сличен содржај

Изворен канал @pythonotes · Post #65 · 8 апр.

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

Резултати

Пронајдени 3 слични објави

Пребарај: #onchaindetection

当前筛选 #onchaindetection清除筛选
Crypto M - Crypto News

@CryptoM · Post #64878 · 10.04.2026 г., 06:15

🚀 Huang Licheng Achieves Profitable Trading Streak Huang Licheng, also known as 'Machi Big Brother,' has maintained a successful trading streak without liquidation for 10 days. According to BlockBeats On-chain Detection, he has completed 13 consecutive profitable trades, earning a profit of $1.14 million over the past week. #HuangLicheng#Trading#CryptoTrading#ProfitStreak#Blockchain#OnChainDetection#CryptoInvesting#MachiBigBrother

Crypto M - Crypto News

@CryptoM · Post #64534 · 09.04.2026 г., 06:35

🚀 BTC Short Position Expanded by Strategy Counterparty On April 9, a significant adjustment was made to a BTC short position by the entity known as 'Strategy Counterparty' (0x94d3). According to BlockBeats On-chain Detection, the position was increased by 81.06 BTC, valued at approximately $5.209 million. The total position size has now reached $75.2048 million, with the average price slightly rising from $69,036.20 to $69,181.40. The liquidation price is set at $79,320.81. Currently, the position is experiencing a floating loss of approximately $1.8229 million, marking a decrease of 96.96%. This makes it the largest BTC short position on the Hyperliquid platform. It is noted that this address previously established a substantial short position against mainstream cryptocurrencies during MicroStrategy's significant BTC acquisitions last December. At that time, the position size peaked at $120 million, making it the largest BTC short on the Hyperliquid platform. #BTC#ShortPosition#StrategyCounterparty#Blockchain#OnChainDetection#Crypto#Hyperliquid#FloatingLoss#BTCShort#MarketAdjustment#Cryptocurrency

Crypto M - Crypto News

@CryptoM · Post #65228 · 12.04.2026 г., 06:13

🚀 Whales Accumulate TRUMP Tokens Ahead of Trump Luncheon On April 12, two significant cryptocurrency holders have been accumulating TRUMP tokens in anticipation of a luncheon with U.S. President Donald Trump. According to BlockBeats On-chain Detection, Whale 8DHkza has withdrawn 850,488 TRUMP tokens from a centralized exchange over the past two days. Meanwhile, Whale 7EtuAt extracted 105,754 TRUMP tokens from another centralized exchange 17 hours ago, bringing their total holdings to 1.13 million TRUMP tokens. #Whales#TRUMPTokens#DonaldTrump#Cryptocurrency#Blockchain#CryptoWhales#Luncheon#OnChainDetection#CentralizedExchange