TGINSIGHT SIMILAR POSTS
Изворен канал @pythonotes · Post #309 · 2 фев.
Метод строки split() разделяет строку на несколько строк по указанному символу >>> "a_b_c".split('_') ['a', 'b', 'c'] Можно указать максимальное количество разделений >>> "a_b_c".split('_', 1) ['a', 'b_c'] Или резать с другой стороны с помощью rsplit() (right split) >>> "a_b_c".rsplit('_', 1) ['a_b', 'c'] А что будет если оставить аргументы пустыми? >>> "a_b_c".split() ['a_b_c'] Получаем список с одним элементом, потому что по умолчанию используется пробельный символ. >>> "a b c".split() ['a', 'b', 'c'] То есть это равнозначно такому вызову? >>> "a b c".split(" ") ['a', 'b', 'c'] Кажется да, но нет! Давайте попробуем добавить пробелов между буквами >>> "a b c".split(" ") ['a', '', '', 'b', '', '', 'c'] И вот картина уже не так предсказуема 😕 А вот что будет по умолчанию >>> "a b c".split() ['a', 'b', 'c'] Всё снова красиво! 🤩 По умолчанию в качестве разделителя используется любой пробельный символ, будь то табуляция или новая строка. Включая несколько таких символов идущих подряд. А также игнорируются пробельные символы по краям строки. >>> "a\t b\n c ".split() ['a', 'b', 'c'] Аналогичный способ можно собрать с помощью регулярного выражения. Но пробелы по краям строки придется обрабатывать дополнительно. >>> import re >>> re.split(r"\s+", ' a b c '.strip()) ['a', 'b', 'c'] Здесь тоже можно указать количество разделений >>> re.split(r"\s+", 'a b c', 1) ['a', 'b c'] А что если мы хотим написать красиво, то есть split() без аргументов, но при этом указать количество разделений? В этом случае первым аргументом передаём None >>> "a\n b c".split(None, 1) ['a', 'b c'] Данный метод не учитывает строки с пробелами, взятые в кавычки 'a "b c" '.split() ['a', '"b', 'c"'] Но для таких случаев есть другие способы. #tricks#basic
Пребарај: #tradingstrategy
@CryptoM · Post #65210 · 12.04.2026 г., 02:09
🚀 Analyst Discusses Stop-Loss Adjustment Strategy An analyst, @ai_9684xtpa, posted on X about the rationale behind adjusting a stop-loss point to $73,500. The adjustment was made to prevent precise liquidation, and the analyst noted that the price nearly reached this adjusted level. #StopLoss#TradingStrategy#MarketAnalysis#RiskManagement#PriceAdjustment#Investing
@CryptoM · Post #64661 · 09.04.2026 г., 13:04
🚀 Bitcoin's Current Volatility May Present a Generational Buying Opportunity Cryptocurrency analyst Ali Martinez recently shared an analysis on the X platform, suggesting that instead of debating whether Bitcoin has hit its bottom, attention should be focused on whether the current volatility presents a 'generational buying opportunity.' According to Odaily, Martinez identifies key 'value zones' for the current cycle based on long-term trend lines, on-chain liquidity, and cost distribution indicators. The UTXO Realized Price Distribution (URPD) indicates a significant concentration of holdings between $63,111 and $70,685, forming the primary support band. If Bitcoin falls below $63,111, the market may enter a liquidity vacuum. From a long-term perspective, Bitcoin is nearing a critical ascending trend line from the past decade, approximately between $56,000 and $60,000. Historically, this position has often marked the accumulation phase before significant price increases. In more extreme scenarios, the CVDD indicator suggests a structural bottom around $47,960, while the MVRV 0.8 range at approximately $43,647 indicates a market in an 'extreme pain' phase, typically associated with exhaustion of selling pressure. In the event of a black swan event, prices could briefly dip to an extreme range of around $36,657. Based on these zones, Martinez employs a dollar-cost averaging (DCA) strategy, gradually increasing positions across different support bands to reduce overall holding costs. He believes the market is currently in a phase of low sentiment, but potential opportunities are gradually emerging. #Bitcoin#Cryptocurrency#CryptoTrading#MarketAnalysis#Volatility#InvestmentOpportunity#DCA#OnChainAnalysis#CryptoMarket#TradingStrategy#BTC
@venturevillagewall · Post #3926 · 20.01.2025 г., 04:00
Melania Meme Token Debuts on Major Exchanges Centralized exchanges like MEXC, BingX, Gate, and Bitget list Melania Meme (MELANIA) token. The token's economic model: 35% team share (30-day lock), 20% treasury, 20% community, 15% public offering, 10% liquidity. Major transaction: an address bought 3.8M MELANIA for 800k USDC, now with a profit of $38.6M. Read more: Wu Blockchain News #Crypto#MemeToken#MELANIA#TrumpProject#Dogecoin#Bitcoin#Profit#Exchanges#Trading#Finance#USDC#MarketAnalysis#Tokenomics#Investment#TradingStrategy#Speculation#ProfitableAddresses#MarketTrends#Blockchain#Web3#VC
@ss7trader · Post #29955 · 26.02.2026 г., 22:28
Binary trading isn't gambling if you have the right tools. 📈 Watch how Pro Thunder V12 identifies the signal on MT5 before I even open the broker. No repainting, no delay, just pure accuracy. #binaryoptions#pocketoption#quotex#tradingstrategy#mt5#forexsignals#otctrading#daytrading#prothunderv12#fintok#wealthbuilding#tradingtips#makemoneyonline#investing2026
@venturevillagewall · Post #4198 · 20.02.2025 г., 10:00
Traders Face Major Losses with LIBRA Coin Nansen research reveals that 86% of LIBRA coin traders lost money, totaling $251 million in investor losses. Meanwhile, insiders profited over $100 million from the token issuance. For more details, visit CoinDesk. #LIBRA#Argentina#Crypto#Investors#Losses#Trading#Nansen#Market#Finance#Tokens#Wealth#Volatility#DeFi#Research#Blockchain#Memecoin#VC#Funds#Loss#Insiders#TradingStrategy
@venturevillagewall · Post #3760 · 31.12.2024 г., 13:00
XRP Market Insights and Predictions 📉 Current XRP Price: $2.16 with a $123B market cap. Trading volume: $2.21B. 📊Consolidation Phase: Support at $2.1, resistance at $2.5. RSI: 49.81 | Stochastic: 26.35 | CCI: -95.21. Mixed signals overall, MACD suggests bearish sentiment. 🔄Short-term Downtrend: Testing support at $2.115; resistance at $2.22 - $2.25. EMAs indicate sell signals for 10- and 20-periods. 📈Bullish/ Bearish Scenarios: Break above $2.25 targets $2.5; break below $2.1 targets $1.9. Traders should implement tight stop-losses. Full analysis details can be read here. #XRP#Crypto#MarketAnalysis#TradingStrategy#Investing#TechnicalAnalysis#PricePrediction#Bullish#Bearish#Support#Resistance#EMAs#MACD#RSI#Stochastic#CCI#Volume#Traders#Bulls#Bears#Consolidation