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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

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Crypto Profit Coach™

@cryptoprofitcoach · Post #8447 · 11.11.2022 г., 11:32

#CTXC👈 https://www.binance.com/en/trade/CTXC_BTC Buyzone 470 - 485 👆 Buy in parts 👈strictly follow for max profits Sell 🤑 509-533 🤑 533 -570 🤑 570- 610 🚀 610-650 Exit/Re-Entry point-450

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Crypto Profit Coach™

@cryptoprofitcoach · Post #8414 · 28.10.2022 г., 16:37

#CTXC👈 https://www.binance.com/en/trade/CTXC_BTC Buyzone 510 - 524 👆 Buy in parts 👈strictly follow for max profits Sell 🤑 550-620 🤑 620 -650 🤑 650- 700 🚀 700-750 💃 750 -800 & above Exit/Re-Entry point-480

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Crypto Profit Coach™

@cryptoprofitcoach · Post #8377 · 20.10.2022 г., 05:29

#CTXC👈 https://www.binance.com/en/trade/CTXC_BTC Buyzone 510 - 526 👆 Buy in parts 👈strictly follow for max profits Sell 🤑 570-620 🤑 620 -650 🤑 650- 700 🚀 700-750 💃 750 -800 & above Exit/Re-Entry point-480

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Crypto Profit Coach™

@cryptoprofitcoach · Post #8302 · 30.09.2022 г., 09:00

#CTXC👈 https://www.binance.com/en/trade/CTXC_BTC Buyzone 550 - 570 👆 Buy in parts 👈strictly follow for max profits Sell 🤑 620 -650 🤑 650- 700 🚀 700-750 💃 750 -800 & above Exit/SL-500

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Crypto Profit Coach™

@cryptoprofitcoach · Post #8621 · 01.01.2023 г., 04:57

December Signal Report👇 #Signal- Profit% #MLN- 25% #IDEX-14% #AGIX-54% #CTXC-208% #REQ-25% #CTSI-46% #ELF-18% #ASR-open #ARDR-100% #ELF-29% #AION-10% #MLN-10% #MDX-12% #ACM-10% #DOCK-open #FXS-open/shift #CTSI-open/in profit #AGIX-11% #ADX-open #ACH-15% #MDX-open #MLN-10% #AION-34% Total profit-631%🤑🤑🤑🔥

#ALT market update with some free alpha 🔩 👉JASMY recently added AI to its roadmap, but the move is seen as risky and lacking confidence. AI is expected to be the main trend in 2023, with cryptocurrencies such as #FET, #CTXC, #NMR, #AGIX, and #PHB likely to benefit. 👉ACH has introduced a crypto on-ramp payment solution in Vietnam, where 30-50% of the population is invested in cryptocurrencies. The company also provides incentives for Twitter payments and is obtaining a Hong Kong license, making it a good mid-term investment. 👉CFX's founder has proposed the implementation of a burn mechanism, seeking community approval. If approved, a pump is expected similar to #RENDER. The company is also working with China, making it a good mid-term investment. 👉#RENDER is considered a good long-term investment as it operates in the GPU/VR field and has a burn mechanism in place. Additionally, it has a partnership with Apple and is poised to benefit from the growing trend in AI. 👉Arb cryptocurrencies are good investments during their respective seasons. To invest, buy on dips and hold. Some recommended Zk coins are #SYS, #DUSK, #MINA, #IMX, #CTSI, #MATIC, and #LRC. For arb, consider cryptocurrencies operating in the dex/perp/defi field such as #GMX, #GNS, #BFR, #RPL, and #GMD. 👉The ETH Shanghai update is due in Q1/Q2 with cryptocurrencies such as #FIS, #LDO, #RPL, #FXS, and #ANKR expected to benefit. 👉Finally, we believe that Chinese/Korean/Asian investors are driving the recent market pump. 2023 is the year to invest in China, so take advantage of this opportunity and good luck!

Coinlegs Cryptocurrency Signals

@coinlegs · Post #9786 · 26.01.2024 г., 02:03

🐬DOLPHIN | AI PREDICTIONS 26.01.2024 02:00 GMT Expected 5% Profit/Loss in 24 Hours #PORTO | 2.478 | PP: 51% | LP: 93% #PROM | 8.059 | PP: 49% | LP: 91% #LAZIO | 2.576 | PP: 46% | LP: 90% #DUSK | 0.2487 | PP: 46% | LP: 94% #PENDLE | 2.4848 | PP: 43% | LP: 93% #OM | 0.09924 | PP: 42% | LP: 90% #CVP | 0.3888 | PP: 36% | LP: 93% #SYN | 0.8595 | PP: 36% | LP: 95% #CHZ | 0.11037 | PP: 34% | LP: 93% #TRX | 0.11277 | PP: 33% | LP: 93% #POND | 0.01638 | PP: 31% | LP: 94% #CHR | 0.2542 | PP: 30% | LP: 94% #FIS | 0.392 | PP: 29% | LP: 91% #CTSI | 0.2212 | PP: 28% | LP: 93% #FXS | 10.035 | PP: 28% | LP: 94% #MKR | 2084 | PP: 28% | LP: 95% #ORDI | 51.163 | PP: 26% | LP: 90% #AMB | 0.00751 | PP: 25% | LP: 90% #BTCDOWN | 0.002722 | PP: 25% | LP: 93% #LSK | 1.301 | PP: 25% | LP: 95% #VTHO | 0.002161 | PP: 24% | LP: 92% #CITY | 2.958 | PP: 24% | LP: 93% #LDO | 2.999 | PP: 24% | LP: 93% #1000SATS | 0.0003885 | PP: 23% | LP: 91% #AUCTION | 24.96 | PP: 23% | LP: 93% #NMR | 19.46 | PP: 22% | LP: 94% #CTXC | 0.4164 | PP: 22% | LP: 95% #AMP | 0.003401 | PP: 21% | LP: 92% #SKL | 0.07252 | PP: 21% | LP: 93% #ALPINE | 2.074 | PP: 21% | LP: 94% #PROS | 0.5028 | PP: 21% | LP: 95% #PSG | 3.253 | PP: 20% | LP: 91% #WING | 8.78 | PP: 20% | LP: 92% #ACM | 2.047 | PP: 20% | LP: 94% #ASTR | 0.1674 | PP: 20% | LP: 94% #MAV | 0.5367 | PP: 20% | LP: 96% #MULTI | 2.202 | PP: 20% | LP: 96% #NTRN | 1.0397 | PP: 19% | LP: 91% #RAD | 1.867 | PP: 19% | LP: 92% #XMR | 157.8 | PP: 19% | LP: 92% #DATA | 0.0461 | PP: 19% | LP: 95% #SEI | 0.6017 | PP: 19% | LP: 96% #INJ | 31.39 | PP: 18% | LP: 93% #RLC | 2.09 | PP: 18% | LP: 95% #DIA | 0.4029 | PP: 17% | LP: 93% #BNX | 0.2869 | PP: 16% | LP: 90% #KMD | 0.2419 | PP: 16% | LP: 90% #RPL | 28.39 | PP: 16% | LP: 91% #SSV | 28.74 | PP: 16% | LP: 91% #ORN | 0.8144 | PP: 16% | LP: 93% ... ——————————————————————— Total Predictions: 368 PP > 50%: 1 LP > 50%: 368 PP > 60%: 0 LP > 60%: 368 PP > 70%: 0 LP > 70%: 367 PP > 80%: 0 LP > 80%: 357 PP > 90%: 0 LP > 90%: 219 ——————————————————————— PP: Profit Probability | LP: Loss Probability