Binance Alpha Airdrop Tracker
@BinanceAlphaAirdropTracker · Post #397 · 05.11.2025 г., 08:58
⏰#TRUST Claim with minimum 224 pts starts in about 2 minutes 🎁 Airdrop: 200 $TRUST ($127)
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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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Data | CryptoAttack 🎅🏼
@cryptoarsenal · Post #62940 · 15.04.2026 г., 08:55
🎰#TRUST selling 🧨 1,55M USDT in 15 min (10%) on Binance Futures P: 0,09018 ⬆️ (6,84%) Vol 24h: 17M USDT Last 4 h ago #CEXTrack
Data | CryptoAttack 🎅🏼
@cryptoarsenal · Post #62935 · 15.04.2026 г., 04:50
🎰#TRUST buying 🔫 354K USDT in 6 min (11%) on Binance Futures P: 0,07667 ⬆️ (5,71%) Vol 24h: 3,52M USDT Last 10 d ago #CEXTrack
Data | CryptoAttack 🎅🏼
@cryptoarsenal · Post #62288 · 05.04.2026 г., 12:27
🎰#TRUST buying 🔫 351K USDT in 13 min (43%) on Binance Futures P: 0,06845 ⬆️ (4,63%) Vol 24h: 1,16M USDT Last 47 d ago #CEXTrack
Илья AGI TV 🤖
@ilia_plasma · Post #221 · 16.10.2023 г., 15:14
Новый нахваленный дизайн #Trust Wallet Теперь понятно почему #TWT токен упал. Глаза немного болят 😡
Airdrop3 LTD
@airdrop3ltd · Post #157 · 16.07.2021 г., 17:30
DUSD NETWORK #AIRDROP#TRUST WALLET #AIRDROP#META MASK Free 🎁 200 (DUSD) Tokens Reward 🎁 for a referral 50% = 100 (DUSD) ✅Open Trust wallet ✅Go to DApps ✅Copy & Paste Airdrop link below in Dapp Search Box: 👇 Project Link : https://dusd.network/ 👇 Airdrop Link : https://dusd.network/airdrop/index.html 🔹Change network to Smart chain 🔹Click Claim Airdrop (Little $0.18 Fee Required in BNB) Listing Pancakeswap 30th October, 2021. LISTING PRICE: 1 DUSD = 0.3 USD ✅To be listed at coinmarketcap ✅Add custom token: Contract Address: 0x5eba288f8833071ba7cd5c2b356754811c0ce8fb ✅BSCSCAN https://bscscan.com/token/0x5eba288f8833071ba7cd5c2b356754811c0ce8fb ✅TELEGRAM GROUP LINK: https://t.me/dusd_network ✅Twitter LINK https://twitter.com/DusdNetwork ✅Reddit Link https://www.reddit.com/user/DUSD_Network ✅discord.com https://discord.gg/m62cgWbP ✅Youtube https://www.youtube.com/channel/UCKlGuOEocIIwIGh8V2H8DFg ✅Medium https://medium.com/@dusd.network
VIP_影视分享
@WangZhuanZhan · Post #34934 · 05.11.2024 г., 06:32
Q-q请q把b生s命m交j给g我w- 请把生命交给我 (2018) 直达链接：https://pan.quark.cn/s/2846fb8084f9 #请把生命交给我 #Trust Your Life With Me 链接：https://link3.cc/sf_com #电影#爱情#内地#10年代
Mexc Dex Spread Tracker Alerts
@mexcdex · Post #24040 · 15.04.2026 г., 09:21
🟢 LONG? #TRUST Spread 8.16% detected 💥 Origin: MEXC (DUMP) [M: -10% VS D: -3%] 💎 Intuition #TRUST_USDT (COPY: TRUST) 🌐 Price DEX $0.09270 🎰 Price MEXC $0.08571 ️⚖️ Max Size: 23K $TRUST ($2K) 💹️ Funding Rate: -0.4395% 🏦 Market Cap: $16.7M 💰 Liquidity: $383K 💸 Vol DEX/MEXC: $243K / $525K ⛓️#BASE Dep: 🟢 (1800) W/d: 🟢 0x6cd905dF2Ed214b22e0d48FF17CD4200C1C6d8A3 ⏳Avg Align Time: 94s 📊Avg Spread / Max / Change: ±5% / ±5% / ±3% 📈Win / Draw / Lose: 1 / 0 / 1 💰Total / Week / 24H Profit: -0% / -3% / -3%
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TestFlighty | Notification
@testflightynoti · Post #37328 · 01.05.2026 г., 19:37
#Shade#Trust#No#One Join the Shade: Trust No One beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/wymhbMGt Shared by Dimitri
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利姆诺斯岛·深空放送局📡
@limnosdsstation · Post #10189 · 26.02.2026 г., 05:21
https://x.com/HappyShaunVT/status/2026711290039906367 HappyShaun : Face verification is getting interesting. I THINK I CAN TRUST IT. #happyshaun#vrchat#verification#meme#trust#lime
AI & Law
@ai_and_law · Post #96 · 28.08.2023 г., 07:04
Twilio Introduces "Nutrition Labels" to Boost Trust in AI Hello AI&Law society! Twilio, a communication tool services company, is taking a proactive step to enhance transparency and trust in its artificial intelligence services. The company is introducing "nutrition labels" for its AI models, providing information about the data used for training, the purpose of data collection, and more. The labels aim to offer users a clear understanding of how their data will be utilized. The "nutrition labels" highlight key aspects such as which AI models are being employed, whether customer data is used for training, and whether human involvement is integrated. Additionally, Twilio offers an online tool that enables other companies to generate similar labels for their AI products. Twilio's initiative aligns with broader industry efforts to ensure responsible and transparent AI practices. Salesforce, for instance, is also unveiling an acceptable use policy for its generative AI technologies, specifying prohibited practices and emphasizing responsible AI usage. #AI#Transparency#DataPrivacy#Trust#ResponsibleAI#Twilio#Salesforce
AI & Law
@ai_and_law · Post #29 · 15.06.2023 г., 07:04
Cybersecurity and AI: mapping key issues in the EU The European Union Agency for Cybersecurity (ENISA) has released a comprehensive report highlighting key cybersecurity issues in the field of artificial intelligence. The report aims to shed light on potential risks and provide guidance for policymakers, businesses, and AI developers. The report identifies several critical areas that require attention. One key concern is the security and integrity of AI systems, emphasizing the need for robust safeguards against unauthorized access, data breaches, and malicious attacks. It also highlights the importance of ensuring the privacy and protection of personal data used in AI processes. Additionally, the report emphasizes the significance of transparent and explainable AI algorithms. Clear accountability and understandable decision-making processes are vital to building trust in AI systems and avoiding potential biases or discrimination. #AI#Cybersecurity#EU#DataProtection#Privacy#Transparency#Trust#Cyberthreats