TGINSIGHT SIMILAR POSTS
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
Пребарај: #buyrating
@CryptoM · Post #65143 · 11.04.2026 г., 12:05
🚀 Wall Street Analysts Predict MSTR Stock to Double This Year Most Wall Street analysts anticipate that the stock price of Michael Saylor's company, MSTR, will more than double this year. According to Odaily, the majority of analysts maintain a buy rating, describing it as one of the most undervalued companies globally. #WallStreet#MSTR#StockPrediction#MichaelSaylor#BuyRating#UndervaluedCompanies
@CryptoM · Post #65130 · 11.04.2026 г., 09:03
🚀 TD Cowen Analyst Lowers Target Price for MicroStrategy TD Cowen analyst Lance Vitanza has revised the target price for Bitcoin reserve company MicroStrategy (MSTR) from $440 to $350, while maintaining a buy rating. According to Odaily, this adjustment reflects the analyst's updated assessment of the company's financial outlook. #TDCowen#Analyst#TargetPrice#MicroStrategy#Bitcoin#MSTR#FinancialOutlook#BuyRating#BTC
@CryptoM · Post #64767 · 09.04.2026 г., 20:52
🚀 Analyst Lance Vitanza Initiates Buy Ratings on Three Treasury Companies Lance Vitanza from TD Cowen has initiated coverage on Nakamoto, SharpLink Gaming, and Strive with Buy ratings. According to NS3.AI, Vitanza has set price targets of $1, $16, and $26 for these companies, respectively. He suggests that these treasury firms have the potential to outperform spot crypto exchange-traded products, provided that cryptocurrency prices recover and the companies continue to increase their token holdings per share. #LanceVitanza#TD Cowen #Nakamoto#SharpLinkGaming#Strive#BuyRating#TreasuryCompanies#Crypto#TokenHoldings#PriceTargets#BTC
@CryptoM · Post #65373 · 13.04.2026 г., 02:56
🚀 Daiwa Raises Gu Ming's Target Price to HKD 36 On April 13, according to Jin10, Daiwa released a research report raising the target price of Gu Ming (01364.HK) from HKD 35 to HKD 36, maintaining a 'buy' rating. This corresponds to a forecasted price-to-earnings ratio of 22 times for 2026. Daiwa noted that Gu Ming's takeaway proportion has decreased from a peak of 60% in the third quarter of last year to below 50%. The management expects this trend to continue, aiming to improve franchisee profitability through initiatives such as dine-in promotions, extending morning business hours, and increasing coffee sales. The firm has also raised its earnings per share forecast for Gu Ming from 2026 to 2028 by 6% to 12%. #Daiwa#GuMing#TargetPrice#HKD36#BuyRating#FranchiseeProfitability#EarningsForecast#TakeawayProportion#CoffeeSales#MorningBusinessHours