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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
Пребарај: #databreach
@WorldNews · Post #73974 · 08.04.2026 г., 19:44
10 petabyte (10000 terabyte) of data allegedly stolen from Chinese supercomputer, including classified defense documents [Read FullArticle] @WorldNews#CyberSecurity#DataBreach#GlobalNews
@WorldNews · Post #74316 · 23.04.2026 г., 12:19
Medical data of half a million Britons listed for sale on Chinese website, government says [Read FullArticle] @WorldNews#DataBreach#UKNews#DataPrivacy
Hashtags
@WorldNews · Post #73940 · 07.04.2026 г., 12:14
One of the largest corporate espionage and data breach scandals in digital history: New "BrowserGate" report claims LinkedIn secretly scans user browsers [Read FullArticle] @WorldNews#LinkedIn#DataBreach#CyberSecurity
@venturevillagewall · Post #4166 · 16.02.2025 г., 13:00
Nippon Steel Hit by Ransomware Attack 💻 Nippon Steel faces serious breach from BianLian, stealing 500GB of sensitive data. The attackers disclosed private info including financial data and personal details of top executives. With over 113,000 employees and $57.5B annual revenue, Nippon Steel is a key player in the steel industry worldwide. The hack adds to the company's challenges in 2025. 📌 For more details, visit Financial Times. #NipponSteel#BianLian#CyberSecurity#DataBreach#Ransomware#SteelIndustry#Japan#TechNews
@CryptoM · Post #65151 · 11.04.2026 г., 13:05
🚀 Lakeview Loan Servicing Reaches $26 Million Settlement Over Data Breach Lakeview Loan Servicing has agreed to a proposed $26 million settlement following a data breach that impacted 2.53 million individuals in the United States. According to NS3.AI, the lawsuit alleges that unauthorized actors gained access to the company's systems, potentially exposing names, Social Security numbers, financial account details, and other personal information. While Lakeview denies any wrongdoing, eligible class members may receive compensation, credit monitoring, and identity protection if the settlement is approved. #DataBreach#Settlement#Privacy#IdentityProtection#FinancialServices#CyberSecurity#USNews
@CryptoM · Post #64880 · 10.04.2026 г., 06:24
🚀 Security Concerns Arise Over LLM Agent API Routers On April 10, Solayer founder @Fried_rice highlighted on social media the growing reliance of large language model (LLM) agents on third-party API routers, which distribute tool call requests to multiple upstream providers. According to BlockBeats, these routers operate as application layer proxies and can access each JSON payload in plaintext during transmission. However, no provider currently enforces encryption integrity protection between the client and upstream models. A study tested 28 paid routers purchased from platforms like Taobao, Xianyu, and Shopify independent sites, along with 400 free routers collected from public communities. The findings revealed that one paid router and eight free routers were actively injecting malicious code. Additionally, two routers deployed adaptive evasion triggers, 17 accessed AWS Canary credentials owned by researchers, and one stole ETH from a private key held by researchers. Further poisoning studies demonstrated that seemingly harmless routers could also be exploited. A leaked OpenAI key was used to generate 100 million GPT-5.4 tokens and over seven Codex sessions. Weaker bait configurations resulted in 2 billion billing tokens, 99 credentials across 440 Codex sessions, and 401 sessions running autonomously in YOLO mode. The research team developed an experimental proxy named Mine, capable of executing all four types of attacks on four public proxy frameworks. They also verified three client defense strategies: fault lock strategy gating, response-side anomaly screening, and append-only transparent logging. #LLM#API#Security#CyberSecurity#Malware#DataBreach#Encryption#Proxy#AI#MachineLearning#ETH
@CryptoM · Post #65165 · 11.04.2026 г., 14:20
🚀 Heart South Reports Potential Data Breach Affecting Thousands Heart South has announced that approximately 46,666 individuals may have been affected by a data breach, with patient information from its network appearing on the dark web. According to NS3.AI, the company has been unable to verify if any specific individual's data was compromised. Notifications regarding the potential breach began being distributed in April 2026. #HeartSouth#databreach#patientdata#darkweb#NS3AI#privacy#cybersecurity#datasecurity#breachnotification#April2026