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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

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@venturevillagewall · Post #4047 · 01.02.2025 г., 16:00

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Funding Round Highlights: January 2025 🔍 Key funding rounds from January 2025: - Omnitron Sensors: $13M for efficient MEMS manufacturing. Learn More - Unwrap.ai: $12M for AI-powered customer feedback analytics. Learn More - Le Fourgon: $8.55M for returnable product transportation. - TeamSec: $7.60M for cloud-based securitization solutions. Learn More - Crowded: $7.50M raised. - Cactos: $7.27M for innovative electricity storage solutions. Learn More - Selta Square: $6.41M for pharmacovigilance AI solutions. Learn More - Medsender: $5M for HIPAA-compliant document automation. Learn More - Univale Transportes: $4.78M raised. - SKUsafe: $4.30M for compliance and nutritional analysis tools. Learn More #AI#Fintech#Regtech#Manufacturing#Healthcare#Energy#SupplyChain#NutritionalAnalysis#Compliance#StartupFunding

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@venturevillagewall · Post #3419 · 18.12.2024 г., 12:11

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Tyme Raises $250M Round #Tyme has successfully raised a substantial $250 million in funding, closing the round on December 17, 2024. For more details, visit Tyme's website. #Funding#Tyme#Investment#Capital#Finance#Business#Technology#Startups#FundingRound#VentureCapital #2024 #Growth#Innovation#CapitalRaising#TechNews#Market#Entrepreneurship#StartUpFunding#FinancialServices

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@venturevillagewall · Post #3912 · 18.01.2025 г., 10:00

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$51M Raised Across Multiple Startups Ten innovative startups secured funding in January 2025, totaling $51 million. Highlights include: - Merit Systems: $10M for an open-source economy. - Botika: $8M, leading in AI-generated fashion models. - Underdogs: $6.13M, focused on training entrepreneurs. - TrustUp: $5.18M in health tech innovation. - Elcogen: $5M in efficient fuel cell manufacturing. - Convergence Medical Robotics: $5M for medical robotics solutions. - Constelli: $3M in signal processing for defense. - Immunocure Discovery Solutions: $3M in AI drug discovery services. - Naco: $2.58M for nano coatings in fuel cells. - TalentMapper: $2.44M for talent management solutions. Read more: Merit Systems | Botika | Underdogs | TrustUp | Elcogen | Convergence Medical Robotics | Constelli | Immunocure Discovery Solutions | Naco | TalentMapper #StartupFunding#OpenSource#AI#FashionTech#Education#HealthTech#FuelCells#Innovation#SignalProcessing#DrugDiscovery#NanoTech#HydrogenEnergy#MedTech#VC

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