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Изворен канал @pythonotes · Post #241 · 5 мај

Можно ли в Python создавать бинарные файлы? Конечно можно. Для этого в Python есть следующие инструменты: ▫️ тип данных bytes и bytearray ▫️ открытие файла в режиме wb (write binary) или rb (read binary) ▫️ модуль struct Про модуль struct поговорим в первую очередь. Файл в формате JSON или Yaml внутри себя содержит разметку данных. Всегда можно определить где список начался а где закончился. Где записана строка а где словарь. То есть формат записи данных содержит в себе элементы разметки данных. В binary-файле данные не имеют визуальной разметки. Это просто байты, записанные один за другим. Правила записи и чтения находятся вне файла. Модуль struct как раз и помогает с организацией данных в таком файле с помощью определения форматов записи для разных частей файла. Модуль struct преобразует Python-объекты в массив байт, готовый к записи в файл и имеющий определённый вид. Для этого всегда следует указывать формат преобразования (или, как оно здесь называется - запаковки). Формат нужен для того, чтобы выделить достаточное количество байт для записи конкретного типа объекта. В последствии с помощью того же формата будет производиться чтение. При этом следует помнить что мы говорим о типах языка С а не Python. Именно формат определяет, что записано в конкретном месте файла, число, строка или что-то еще. Вот какие токены формата у нас есть. Помимо этого, первым символом можно указать порядок байтов. На разных системах одни и те же типы данных могут записываться по-разному, поэтому желательно указать конкретный способ из доступных. Если этого не сделать, то используется символ '@', то есть нативный для текущей системы. В строке формата мы пишем в каком порядке и какие типы собираемся преобразовать в байты. Запакуем в байты простое число, токен "i". >>> import struct >>> struct.pack('=i', 10) b'\n\x00\x00\x00' Теперь несколько float, при этом нужно передавать элементы не массивом а последовательностью аргументов. >>> struct.pack('=fff', 1.0, 2.5, 4.1) b'\x00\x00\x80?\x00\x00 @33\x83@' Вместо нескольких токенов можно просто указать нужное количество элементов перед одним токеном, результат будет тот же. >>> struct.pack('=3f', 1.0, 2.5, 4.1) b'\x00\x00\x80?\x00\x00 @33\x83@' Теперь запакуем разные типы >>> data = struct.pack('=fiQ', 1.0, 4, 100500) я запаковал типы float, int и unsigned long long (очень большой int, на 8 байт) b'\x00\x00\x80?\x04\x00\x00...' Распаковка происходит аналогично, но нужно указать тот же формат, который использовался при запаковке. Результат возвращается всегда в виде кортежа. >>> struct.unpack('=fiQ', data) (1.0, 4, 100500) Как видите, ничего страшного! #lib#basic

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AI & Law

@ai_and_law · Post #584 · 04.06.2025 г., 07:04

🌐Global Consensus Emerges on AI Data Security Standards Four leading cybersecurity agencies — from the U.S., U.K., Australia, and New Zealand — have jointly released best practice guidance for securing data across AI system lifecycles. The focus: ensuring integrity, traceability, and resilience in AI training and deployment environments. The document recommends practical safeguards such as digital signatures for trusted dataset revisions, provenance tracking, and the use of secure infrastructure. It also emphasizes proactive risk mitigation, calling for robust data protection strategies not just at the point of deployment, but from the earliest stages of model development. #AI#DataSecurity#AIgovernance

AI & Law

@ai_and_law · Post #387 · 02.09.2024 г., 07:04

Privacy at Stake: LegalShield Faces Lawsuit Over AI-Driven Call Interceptions LegalShield, a prominent online legal services provider, is under fire as a class action lawsuit accuses the company of secretly intercepting and analyzing confidential client communications. The lawsuit claims that LegalShield failed to inform customers that their interactions would be routed through Talkdesk, a call center technology provider, which uses AI to listen, record, and analyze every word in real-time. Talkdesk allegedly utilizes this intercepted data not just for enhancing customer service but also for its own purposes, including developing AI models. The lawsuit highlights the sensitive nature of the information at risk, such as credit card details and Social Security numbers, and suggests that clients would have refrained from engaging with LegalShield had they known about these practices. This case underscores the growing concerns over privacy and the ethical use of AI in customer interactions, particularly in industries where confidentiality is paramount. #AI#Privacy#DataSecurity#LegalTech

NEA Singapore

@NEASingapore · Post #915 · 14.10.2024 г., 05:36

Give your e-waste a second life by recycling them this International E-waste Day 📱💻♻️ Find out more about how to recycle your e-waste at go.gov.sg/e-waste Let’s also reduce the amount of e-waste generated by: - Considering if you really need to buy new a product or if the current one can be repaired - Choosing second-hand products over new products - Donating devices that are in good condition to those who could put them to better use #RecycleRight#RecycleOurEWaste#IEWD2024#InternationalEWasteDay2024#DataSecurity

AI & Law

@ai_and_law · Post #43 · 30.06.2023 г., 07:04

Are your favorite Apps invading your privacy? Let's find out! Artificial Intelligence has become a hot topic, raising questions about its impact on user privacy. Are AI apps really intruding on our personal data? A recent investigation by Home Security Heroes (HSH) reveals some eye-opening findings. By examining various AI applications, HSH has uncovered the extent of data intrusion facilitated by AI technology. To determine the invasiveness of AI apps, HSH used the privacy labels available on the App Store. These labels reveal the amount of personal information an app tracks for marketing purposes. They evaluated a total of 159 apps. Key Insights: 1️⃣ 75% of AI apps share users' data with third parties. 2️⃣ 64% of investigated AI-powered apps track users' personal data for their own marketing benefits. The Most Invasive AI Apps: 🔹 Tracking 43% of personal data: Brainly Photoleap: AI Art Photo Editor 🔹 Tracking 36% of personal data: Google Assistant Socratic by Google DaVinci – AI Generated Art Facetune AI Photo/Video Editor How comfortable are you with AI apps tracking and sharing your personal data? Are the benefits worth the potential risks to your privacy? #AI#Privacy#DataSecurity#UserProtection#AIApps

Crypto M - Crypto News

@CryptoM · Post #64802 · 10.04.2026 г., 00:36

🚀 AI TRENDS | U.S. Officials Convene Wall Street Leaders Over AI Cybersecurity Concerns U.S. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell have called an urgent meeting with Wall Street leaders to address concerns about the potential cybersecurity risks posed by the latest AI model from Anthropic. Bloomberg posted on X, highlighting the growing apprehension among financial regulators regarding the implications of advanced AI technologies on the security of financial systems. The meeting underscores the increasing focus on AI's role in cybersecurity, as financial institutions grapple with the challenges of integrating cutting-edge technologies while safeguarding sensitive data. The Anthropic AI model, known for its advanced capabilities, has raised alarms about its potential misuse in cyberattacks, prompting federal officials to seek input from industry leaders on mitigating these risks. This development comes amid a broader dialogue on the balance between technological innovation and security, as AI continues to transform various sectors. The discussions are expected to explore strategies for enhancing cybersecurity measures and ensuring that AI advancements do not compromise the integrity of financial systems. #AI#Cybersecurity#WallStreet#Finance#Anthropic#USOfficials#Technology#Innovation#DataSecurity#FinancialRegulation

Crypto M - Crypto News

@CryptoM · Post #65386 · 13.04.2026 г., 04:05

🚀 Telegram CEO Criticizes WhatsApp's Encryption Practices Telegram CEO Pavel Durov has criticized WhatsApp's end-to-end encryption, labeling it as a 'massive consumer fraud.' According to ChainCatcher, Durov highlighted that approximately 95% of private messages are stored in unencrypted backups on Apple and Google servers. Durov expressed concerns that this situation poses a risk to user privacy. Despite WhatsApp's claims of using end-to-end encryption for message transmission, the backup mechanism fails to ensure complete encryption of user information. His remarks have sparked industry attention regarding privacy protection measures in mainstream communication applications. #Telegram#WhatsApp#Encryption#Privacy#DataSecurity#PavelDurov#CyberSecurity#MessagingApps#TechNews#EndToEndEncryption

X

@PROJECT · Post #22 · 12.11.2024 г., 03:35

🔐 Is Your Data Secure? 🔐 🫰 Discover peace of mind with #Cloudatabox – the #future of #secure, #decentralized storage powered by innovative #Web3 solutions! 🌐✨ 🚀Register Now to explore how Cloudatabox keeps your data protected and accessible like never before. 📂🔒 Secure your future, secure your data! #Cloudatabox#DataSecurity#Web3Solutions#DecentralizedStorage#RegisterToday#FutureOfStorage

Crypto M - Crypto News

@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

Crypto M - Crypto News

@CryptoM · Post #65190 · 11.04.2026 г., 18:14

🚀 Pavel Durov Highlights Privacy Risks of Push Notifications Pavel Durov has raised concerns about the privacy implications of push notifications. According to NS3.AI, Durov pointed out that message data can persist in notification logs, posing a privacy risk even after messages or apps are deleted. He referenced a report by 404 Media, which revealed that the FBI was able to retrieve deleted Signal messages from an Apple iPhone by accessing these notification logs. #PavelDurov#Privacy#PushNotifications#DataSecurity#Signal#iPhone#FBI#DigitalPrivacy#NotificationLogs#CyberSecurity