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Изворен канал @pythonotes · Post #61 · 2 апр.
Ранее я уже упоминал о другой фишке из ˍˍfutureˍˍ , это оператор деления. from __future__ import division Суть проста. Раньше сложность типа данных результата поределялась типом самого сложного операнда. Например: int/int => int int/float => float В первом случае оба операнда int, значит и результат будет int. Во втором float более сложный тип, поэтому результат будет float. Если нам требуется получить дробное значение при делении двух int то приходилось форсированно один из операндов конверировать в float. 12/float(5) => float Но с новой "философией" это не требуется. В Python3 "floor division" заменили на "true division" а старый способ теперь работает через оператор "//". >>> 3/2 1.5 >>> 3//2 1 То есть теперь деление int на int даёт float если результат не целое число. В классах теперь доступны методы __floordiv__() и __truediv__() для определения поведения с этими операторами. Данный переход описан в PEP238. #pep#2to3#basic
Пребарај: #cleanspark
@abmedia_news · Post #24538 · 12.05.2026 г., 08:30
【🚀 傳統金融｜BTC 礦企季報：MARA 營收 -18%、CleanSpark 虧 2.24 億】 #CleanSpark#Mara#比特幣挖礦 MARA 與 CleanSpark 於 5 月 11 日公布財報，指出幣價跌勢導致營收下滑並認列大額虧損。 MARA Q1 營收減 18% 並賣出逾兩萬顆 BTC 減債；CleanSpark 則持倉認列 2.24 億美元虧損。兩家去槓桿與擴張策略的不同—反映出礦企在減半週期下的兩條生存路徑。 📍閱讀全文： https://abmedia.io/mara-cleanspark-q1-q2-earnings-btc-mining-may-2026 📍 訂閱鏈新聞頻道：https://linktr.ee/abmedia.io
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@venturevillagewall · Post #4099 · 08.02.2025 г., 13:00
Cleanspark Hits Record Revenue, Expands BTC Reserves 📈 Bitcoin mining company Cleanspark reports record Q4 2024 revenue of $162.3 million, up 120% YoY. It now holds 10,500 BTC valued at $929 million, primarily self-mined at $34,000 per BTC. CEO announces ambitions to grow hash power to 50 EH/s by 2025. After closing a $650 million convertible bond, the firm solidifies its position in the U.S. mining space. 💔 On-chain Bitcoin activity dips to an annual low, with transactions currently around 349,000 per day, down 53% from September's ATH of ~734,000. Experts note significant outflow of Bitcoin from exchanges, indicating accumulation trends among major players. 🔗 Details: Cleanspark Revenue • Market Analysis #Cleanspark#Bitcoin#Mining#BTC#Crypto#Finance#USDC#Revenue#Market#Blockchain#DigitalAssets#Investing#Tech#AI#VC#Treasury#Economy#Growth#Analytics#CryptoQuant
@venturevillagewall · Post #3757 · 31.12.2024 г., 04:00
2025 Crypto Outlook Highlights Regulatory Impact Franklin Templeton forecasts a favorable regulatory environment led by US regulators like the SEC, supporting more crypto ETFs and tokenized securities. This trend is expected to reposition the US as a global hub for cryptocurrency innovation. Additionally, in noteworthy transactions: 58 million #XLM was transferred between unknown wallets, and CleanSpark withdrew 3,158 Bitcoins from Coinbase, totaling $293.39M. Former CFTC Chairman Chris Giancarlo praised Bitcoin as 'digital gold'. Read more hereTransaction detailsCleanSpark details #Crypto#US#ETFs#Regulation#Bitcoin#DigitalGold#Innovation#Blockchain#CFTC#XLM#WhaleAlert#CleanSpark#Mining#TokenizedSecurities#Finance#Investment#MarketTrends#2025Outlook#DigitalAssets#CryptoNews
@venturevillagewall · Post #3837 · 10.01.2025 г., 10:00
Alternatives vs. Altcoin Market Perspectives 🔍 CEO of CryptoQuant, Ki Yun Joo, labels the altcoin market as a 'zero-sum game' due to stagnant capital influx. He suggests only projects with robust use cases can survive. 🚀 Citi analysts forecast a potential alt season with Trump's return, benefiting Ethereum through ETF capital rotation. 📊 Nansen integrates TON blockchain data, offering real-time metrics for the Web3 ecosystem. 💰 CleanSpark becomes the fourth public miner with over 10,000 BTC, reaching this milestone by mining directly. 📈 Ripple aims to list its new RLUSD stablecoin on major exchanges, including ongoing talks with Coinbase and Binance. Bitstamp recently announced support for RLUSD. #Altcoins#Crypto#Ethereum#ETFs#TON#Web3#CleanSpark#Bitcoin#Ripple#RLUSD#Citi#CryptoQuant#Nansen#Blockchain#Mining#Exchange#Bitstamp#CapitalRotation#AltSeason#DonaldTrump#DataAnalytics