TestFlightX
@TestFlightX · Post #34672 · 20.11.2024 г., 00:04
#ZERO#LOSS#COMPRESS https://testflight.apple.com/join/v5APJNcU
TGTGInsighttelegram intelligenceLIVE / telegram public index
TGINSIGHT SIMILAR POSTS
Најди сличен содржај
Изворен канал @pythonotes · Post #32 · 7 фев.
Скорее всего уже слышали, что складывать строки через + это плохая практика. Падение производительности, и всё такое. Без лишних слов, давайте измерять: from timeit import timeit def t1(): # складываем 10 строк через + из переменной t = 'text' for _ in range(1000): s = t + t + t + t + t + t + t + t + t def t2(): # склеиваем список строк через метод join arr = ['text'] * 10 for _ in range(1000): s = ''.join(arr) def t3(): # складываем через + но не из переменной а непосредственно инлайн объекты for _ in range(1000): s = 'text' + 'text' + 'text' + ... # всего 10 раз Теперь каждую строку склейки запустим по 10М раз >>> timeit(t1, number=10000) 0.21951690399964718 >>> timeit(t2, number=10000) 1.4978306379998685 >>> timeit(t3, number=10000) 0.2213820789993406 Хм, а нам говорили что через "+" это плохо и медленно ))) 😁 Тут стоит учитывать, что речь идёт о склейке множества длинных строк. Давайте изменим условия: def t4(): t = 'text'*100 for _ in range(1000): s = t + t + t + t + t + t + t + t + t def t5(): arr = ['text'*100] * 10 for _ in range(1000): s = ''.join(arr) def t6(): for _ in range(1000): s = 'text'*100 + 'text'*100 + ... # всего 10 раз >>> timeit(t4, number=10000) 12.795130728000004 >>> timeit(t5, number=10000) 2.642637542999182 >>> timeit(t6, number=10000) 0.2184546610005782 Вот, уже другой разговор, сразу видна разница, в среднем в 6 раз. Но погодите, почему последний тест t6() по скорости такой же как и t3()? Ведь строки теперь в 100 раз длиннее! Это вопросы оптимизации кода, какие простые изменения ускоряют или замедляют выполнение программы. Мы столкнулись с примером обхода обращения к переменной. Например, именно так работает директива #define в С++, во время компиляции подставляя значение переменной вместо ссылки на неё. В Python это тоже работает, но часто ли вы сможете встретить такой способ работы со строками? К сожалению, способ почти только теоретический. В целом, тесты показали то, что мы хотели. Делаем выводы самостоятельно. Полный листинг 🌍 #tricks
Резултати
Пронајдени 8 слични објави
Пребарај: #loss
当前筛选 #loss清除筛选
Crypto M - Crypto News
@CryptoM · Post #65159 · 11.04.2026 г., 13:44
🚀 Major WBTC Investor Exits Position After 15 Hours with $12,000 Loss An analyst @ai_9684xtpa posted on X that a significant investor, identified by the wallet address 0x0EA225f92408532403FbFE5357d5d94676F34a54, exited their position in Wrapped Bitcoin (WBTC) just 15 hours after entering. The investor initially purchased WBTC at a cost of $72,720.78, investing a total of $4.7 million. However, four hours ago, they sold 64.7 WBTC at $72,536, incurring a loss of $12,000. #WBTC#Bitcoin#Crypto#Investment#Loss#Blockchain#Cryptocurrency
Crypto M - Crypto News
@CryptoM · Post #65213 · 12.04.2026 г., 02:59
🚀 Bitcoin Long Position Closure Results in $192,000 Loss for Machi Big Brother Machi Big Brother recently closed a Bitcoin long position, incurring a loss of $192,000 following a market downturn. According to NS3.AI, this closure marked the end of a 13-win streak for the investor. #Bitcoin#LongPosition#Loss#MachiBigBrother#MarketDownturn#NS3AI#Investment#BTC
Crypto M - Crypto News
@CryptoM · Post #64677 · 09.04.2026 г., 13:48
🚀 Crude Oil Short Position Faces $2 Million Loss Amid Negative Funding Fees A wallet identified as 0x63c has opened a significant short position on crude oil through Hyperliquid, initially valued at $30 million. According to NS3.AI, this position is currently experiencing a floating loss of $2 million. Despite the loss, the position is generating approximately $388,000 daily in funding fees due to negative crude oil funding rates. #CrudeOil#ShortPosition#Loss#FundingFees#Hyperliquid#NS3AI#Finance#Investing#CommodityTrading
Crypto M - Crypto News
@CryptoM · Post #64987 · 10.04.2026 г., 12:57
🚀 Major BTC Long Position Liquidated on Hyperliquid Platform In the last 10 minutes, a significant BTC long position was liquidated on Hyperliquid, according to ChainCatcher. The position, held by the entity identified as 0x1e9, was closed at a price of $71,463, resulting in a substantial sell order. The position was initially opened today at 6 a.m. UTC+8, when BTC was trading above $72,000. It involved 247 BTC, equivalent to approximately $17.65 million. As the price declined, the holder opted for a rapid stop-loss exit, incurring a loss of about $180,000. #BTC#longposition#liquidation#Hyperliquid#ChainCatcher#cryptocurrency#BTCprice#stoploss#cryptotrading#loss
Venture Village Wall 🦄
@venturevillagewall · Post #3440 · 19.12.2024 г., 10:00
Market Meltdown: Investors React Investors in the stock market faced a staggering 5% loss in a single day, expressing their frustration on Reddit. Meanwhile, cryptocurrency investors suffered an even greater blow, losing 30% of their capital. In light of the downturn, many are humorously adopting McDonald's-themed avatars in chat groups. #StockMarket#Crypto#Investors#Loss#Reddit#Twitter#MarketCrash#Finance#Humor#Investment#Economy#Trading#Volatility
Venture Village Wall 🦄
@venturevillagewall · Post #4318 · 06.03.2025 г., 04:00
Bitcoin Hits $92,000; Crypto News Roundup - BioNexus Gene Lab adopts Ethereum treasury strategy, first Nasdaq firm to do so. Read more - Argentina freezes $100M in crypto linked to LIBRA sale, seeks transaction records. Read more - Trump's WLFI invests $336M in various tokens, faces $88M loss. Read more - Ethereum Devconnect set for Buenos Aires, Nov 17-22, 2025. Read more - $50M in USDC minted at USDC Treasury. Details - Mt. Gox transfers over $1B in Bitcoin to an unmarked address. Read more #Bitcoin#Crypto#Ethereum#USDC#MtGox#Argentina#BioNexus#WLFI#Devconnect#Tokens#CryptoAssets#Treasury#ETH#Investments#CryptoNews#Finance#Blockchain#Tech#NASDAQ#Loss
Venture Village Wall 🦄
@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