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Изворен канал @pythonotes · Post #273 · 26 јул.

В стандартном модуле random есть две очень похожие функции random.randint() random.randrange() Обе возвращают случайное значение из указанного диапазона >>> random.randint(10, 20) 12 >>> random.randrange(10, 20) 17 В чем же отличие? Дело в том что у randrange() есть третий параметр step. randint() действительно возвращает случайное число из указанного диапазона. randrange() на первый взгляд делает тоже самое если передать также два параметра. Но есть указать еще и step то наш диапазон усложняется, то есть в него попадёт не полный ряд значений. Например, я хочу получить случайное значение из диапазона но только чётное число. Тогда достаточно сделать так: >>> randrange(10, 20, 2) 16 Таким образом получается что randint это частный случай randrange без указания параметра step. Еще одно важное отличие в том, что randint() включает в диапазон второе значение а randrange() нет. То есть выражение randrange(10, 20) никогда не вернёт 20, а randint(10, 20) вернёт. #tricks#basic

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EdgeMarket.AI 📣

@edgemarketai · Post #7992 · 21.02.2026 г., 09:36

Most systems try to predict outcomes. EdgeMarket focuses on something more fundamental: structure. Our AI ingests real-world events — political decisions, cultural moments, sports fixtures, institutional deadlines — and turns them into time-aware signals. Not opinions. Not hype. Just structured context that shows where pressure is building and when it matters. That’s how uncertainty becomes understandable. Explore how EdgeMarket uses AI as infrastructure, not guesswork 👉https://edgemarket.ai #AI#DecisionIntelligence#EdgeMarket#SignalsOverNoise

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@edgemarketai · Post #8001 · 22.02.2026 г., 10:52

Will BTS’ March album pre-orders exceed 6,000,000 by Feb 28? At this scale, outcomes don’t appear suddenly — they form through visible signals long before confirmation. EdgeMarket tracks how expectations converge. Hashtags: #BTS#MarketSignals#DecisionIntelligence#EdgeMarket#DataDriven#CulturalTrends

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@edgemarketai · Post #7991 · 20.02.2026 г., 10:35

High-profile matches expose more than skill — they reveal system dynamics. For Nottingham Forest vs Liverpool, EdgeMarket analyzes scenario formation: • Momentum vs control • Tactical flexibility • Fatigue and recovery cycles • Pressure response under crowd intensity Rather than framing outcomes as binary, we focus on how probabilities evolve before and during the match. Sport is one of the clearest real-world laboratories for decision intelligence. #DecisionIntelligence#SportsAnalytics#PremierLeague#EdgeMarket#SystemsThinking#OutcomeAnalysis

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@edgemarketai · Post #8026 · 10.03.2026 г., 08:20

Geopolitical questions rarely move markets when they become obvious. They move when probability starts shifting before formal signals appear. That is why prediction systems matter. Not because they claim certainty, but because they surface how conviction changes while narratives are still forming. At EdgeMarket, we study how distributed judgement reacts to emerging geopolitical scenarios long before consensus hardens. The important signal is rarely the headline itself. It is how probability changes before the headline arrives. #EdgeMarket#PredictionMarkets#Geopolitics#AI#MarketIntelligence#Decentralization#GlobalRisk#DecisionIntelligence

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@edgemarketai · Post #8009 · 27.02.2026 г., 12:43

Markets move on signals. Reality moves on decisions. A single announcement could reshape geopolitics, energy prices, defense markets, and global risk appetite. The question isn’t what you think it’s what happens next. EdgeMarket tracks real-world outcomes, not opinions. Will a Ukraine peace deal be announced by February 28? #Geopolitics#GlobalRisk#PredictionMarkets#DecisionIntelligence#Ukraine#USPolitics#EdgeMarket#FutureSignals#Macro