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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

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AI & Law

@ai_and_law · Post #405 · 26.09.2024 г., 07:04

The Environmental Impact of AI: What Does It Take to Write an Email with ChatGPT? As AI becomes more integrated into our daily lives, understanding its environmental impact is crucial. According to estimates reported by The Washington Post, generating an email using AI tools like ChatGPT requires about as much water as a single-use plastic bottle holds, and the energy consumption is equivalent to running 14 LED light bulbs for an hour. These figures shed light on the significant resources needed to operate data centers that power AI systems. As AI continues to evolve, addressing its environmental footprint will be essential for sustainable innovation. *#AIImpact#Sustainability#DataCenters#AIEthics

Crypto M - Crypto News

@CryptoM · Post #65438 · 13.04.2026 г., 08:02

🚀 Carson Block Warns of Potential U.S. Stock Market Turbulence Carson Block, founder of Muddy Waters and a globally recognized short seller, has issued a stark warning about the U.S. stock market. According to Jin10, Block suggests that the market could experience volatility surpassing that of the 2008 financial crisis. He attributes this potential upheaval to the disruptive impact of AI technologies on the market. Block advises short sellers to prepare for opportunities, indicating that betting against the U.S. stock market might be favorable in the current environment. #CarsonBlock#USStockMarket#StockMarketTurbulence#AIImpact#ShortSelling#FinancialCrisis#Volatility#MarketWarning#MuddyWaters#ShortSellers#MarketOpportunities

Crypto M - Crypto News

@CryptoM · Post #64792 · 10.04.2026 г., 00:06

🚀 Global Economic Concerns Amid Middle East Tensions According to Jin10, a report by China International Capital Corporation (CICC) highlights that since March, concerns over conflicts involving the U.S., Israel, and Iran, along with potential blockages in the Strait of Hormuz, have triggered a market-wide risk aversion. This has led to declines in most asset classes, excluding oil and agricultural products, raising fears of stagflation. CICC acknowledges the undeniable impact of supply shocks, which could potentially slow overall economic growth. However, if the Strait of Hormuz gradually reopens, the geopolitical risks might exacerbate the K-shaped economic divergence, leading to increased investment activity while cooling consumption and employment. In the context of accelerated AI substitution and an inherently cooling labor market, inflation in resource and capital goods is unlikely to create a 'wage-inflation' spiral. From this perspective, CICC suggests that the mainstream narrative of global stagflation might be overstated. The report reiterates the view held since the beginning of the year that, amid an intensified K-shaped economy, liquidity recovery from its trough, and sustained fiscal expansion, the global nominal economic cycle driven by investment is expected to resume its upward trend. This will likely lead to continued rebalancing of global funds across sectors, asset classes, and regions, benefiting a range of physical assets and emerging markets. #GlobalEconomy#MiddleEastTensions#GeopoliticalRisk#Stagflation#SupplyShock#EconomicGrowth#KShapedRecovery#Investment#AIImpact#LaborMarket#Inflation#LiquidityRecovery#FiscalExpansion#EmergingMarkets#AssetAllocation