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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🎧⤴
Ethereum ETF Set to Ignite Prices – Could ETH Hit $4,500?
Monochrome Asset Management has filed to launch an Ethereum ETF in Australia under the ticker "IETH." If approved, the ETF will offer a regulated way for retail investors to buy into Ethereum, marking a crucial expansion of crypto products in Australia. Analysts predict this could push ETH prices towards $4,500, especially if Bitcoin continues its upward momentum.
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IETH comin’, time to raise the stake,
Aussie brokers lined up, ready to go,
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Chorus:
Will ETH hit that 4-5-0-0?
Markets movin’ fast, now they wanna know,
Monochrome pushin’ for the big rise,
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Chorus:
Will ETH hit that 4-5-0-0?
Markets movin’ fast, now they wanna know,
Monochrome pushin’ for the big rise,
Crypto to the moon, no surprise.
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Regulated ETF, no more askin’ why,
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Crypto in the mainstream, here to stay.
Chorus:
Will ETH hit that 4-5-0-0?
Markets movin’ fast, now they wanna know,
Monochrome pushin’ for the big rise,
Crypto to the moon, no surprise.
#EthereumETF
#CryptoInvestment
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🎧@toncoin_rap
🌐Breaking News: Investment bank TD Cowen predicts a delay in the U.S. SEC approval for an #Ethereum spot ETF.
Analysts suggest the SEC might be cautious, observing outcomes from #Bitcoin ETFs first, before greenlighting #Ethereum or other crypto ETFs.
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-
Crypto GALAXY
Crypto Funds Struggle Compared to Bitcoin
OKX's founder Star claims no crypto fund has outperformed Bitcoin over the last decade, predicting a 100x growth for the industry. He acknowledged feedback on OKB's lack of use cases and poor listings. A new secret business line for OKX is set to launch in February.
In other news, Ethereum spot ETFs saw a net outflow of $39.432 million, while Bitcoin ETFs faced a larger outflow of $284 million. Notably, BlackRock's ETHA and IBIT ETFs saw significant inflows.
Read more about OKX's updates here, Ethereum's ETF activity here, and Bitcoin's ETF activity here.
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🚀 Morgan Stanley Explores Tokenized Money-Market Fund After Bitcoin ETF Launch
Morgan Stanley, managing $9.3 trillion in client assets, is considering launching a tokenized money-market fund following its recent introduction of a spot Bitcoin ETF. According to NS3.AI, Amy Oldenburg from Morgan Stanley highlighted the bank's interest in tax-loss harvesting for digital assets through its subsidiary, Parametric. Data from Farside Investors indicates that the new Bitcoin ETF has attracted approximately $46 million in net inflows since its launch on Wednesday. Additionally, Morgan Stanley submitted applications in January for ETFs linked to Ethereum and Solana.
#MorganStanley#TokenizedMoneyMarketFund#BitcoinETF#DigitalAssets#TaxLossHarvesting#EthereumETF#SolanaETF#Parametric#NS3AI#FarsideInvestors#CryptoInvesting#BTC#ETH#SOL