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Изворен канал @pythonotes · Post #32 · 7 фев.

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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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English Speakers

@English_Speakers · Post #57 · 12.01.2017 г., 12:13

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⤴️#Word_of_the_Day⤴️ 📚nibble Audio Pronunciation /ˈnɪbəl/ #verb 1⃣ : to eat slowly or with small bites [+ object] ✅We nibbled cheese and crackers. [no object] ✅We nibbled on some cheese and crackers before dinner. — often + at ✅She felt a fish nibble at the end of her fishing line. ✅Insects nibbled at the tree's leaves. — sometimes used figuratively ✅He nibbled at the idea of changing careers [=he thought briefly about changing careers], but decided against it in the end. 2⃣ [+ object] : to bite (something) very gently ✅He nibbled her ear. ✅nibble (away) at [phrasal verb] ✅nibble (away) at (something) : to make (something) disappear or go away very slowly ✅Police have been nibbling (away) at crime in the city for years. [=police have been very slowly reducing the amount of crime in the city] @English_Speakers

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Learn RCRussian🤍💙❤️

@learnRCRussian · Post #5753 · 29.11.2025 г., 09:00

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Если я погладил много котиков, значит ли это, что я гладиатор? If I've petted many kitties, does that make me a gladiator? • Гладить (imperf.) [gla-dit'] = • Погладить (perf.) [pa-gla-dit'] Meanings: 1) to iron clothes 2) to pet, to stroke (an animal) Also: • Гладиатор (masc.noun) [gla-di-a-tor] А gladiator (a warrior) Not everyone who ГЛАДИт cats can become a ГЛАДИатор. Or can they? 😒⚔️ #tricky_words #verb #meme #learn_russian 😎RCR | Support | Boost

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Crypto News & Web3 Events | TON Ecosystem

@tonevents_en · Post #1718 · 04.08.2025 г., 14:33

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VERB Raises $558M to Acquire TON VERB (ticker VERB) is securing approximately $558 million in funding to build a public TON treasury. With these funds, the company plans to buy Toncoin ($TON) and hold it as its primary reserve asset. The goal is to become the first public company whose core “cushion” consists of TON — effectively treating TON as a reserve asset on its balance sheet. VERB expects to earn both from TON’s price appreciation and staking rewards. Once the deal closes (scheduled for August 7, 2025), VERB will rebrand as TON Strategy Co. (TSC) and continue growing its existing projects. Investors: Over 110 institutional and “crypto-native” participants, including Pantera, Animoca, Kraken, BitGo, Vy Capital, Ribbit Capital, and Graticule (GAMA). Advisors & Partners: Experts from Kingsway Capital, TON Foundation, and Blockchain.com will join governance. Having Pantera, Animoca, Kraken, and BitGo on board is meant to add both expertise and trust. Leadership Team: Executive Chairman: Manuel Stotz (Kingsway Capital; President, TON Foundation) CEO: Veronika Kapustina (former TON Foundation advisor; ex-Morgan Stanley) CFO: Sara Olsen (Europa Partners; former Onyx by JPMorgan) Special Advisor: Peter Smith (CEO & Co-Founder, Blockchain.com) VERB is betting that TON will remain the main blockchain for Telegram’s product ecosystem. As Telegram’s ecosystem grows, so could the value of VERB’s TON reserves. Post-Closing Metrics: ➡️Lock-up:~36% of equity for 6–12 months ➡️Cash Ratio:~77% cash among DAT companies holding non-BTC/ETH assets — one of the highest in the sector ➡️TON Treasury Size: ~5% of TON’s circulating market cap ➡️Capacity for Further TON Accumulation ➡️Ticker: VERB remains listed on Nasdaq, with the new treasury strategy effective post-close ➡️Advisors: Cohen & Company (placement), Reed Smith, Perkins Coie, Brownstein Hyatt Farber Schreck, Morgan Lewis Risks: This is a private placement (PIPE) with standard risks: the transaction may not close, markets could decline, and the strategy might underperform. VERB discloses these risks in its disclaimer. Read press release 📱RedotPay | 🔃StormTrade | ❤️CapsGame |📱Degenphone #TON#Telegram#PIPE#Verb#Investments#Treasury

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#ton#telegram#pipe#verb#investments#treasury