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Источник @procode404 · Post #3560 · 6 мая

​​⌨️Пишем API на JavaScript + NodeJS NodeJS — выбор большинства стартапов при разработке серверной части приложений, так как код пишется быстро, а производительность большая. А эти туториалы хорошо вам помогут в изучении этой мощной технологии. 1. Устанавливаем node правильно [8:14] 2. Установка Express. Добавляем базовый роутинг [11.13] 3. Реализуем добавление и обновление данных [10:13] 4. Подключение базы данных к express [10:43] 5. Реализуем добавление и обновление исполнителей в базе данных [9:38] 6. Модели и контроллеры в node [13:22] Перейти к плейлисту #javascript#node

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Поиск: #geolocation

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Libreware

@libreware · Post #1512 · 28.09.2025, 11:58

Chasing Your Tail (CYT) https://github.com/ArgeliusLabs/Chasing-Your-Tail-NG A comprehensive #WiFi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with #Kismet for packet capture and WiGLE API for #SSID#geolocation analysis, featuring advanced #surveillance#detection capabilities. Features Real-time Wi-Fi monitoring with Kismet integration Advanced surveillance detection with persistence scoring Automatic GPS integration - extracts coordinates from Bluetooth GPS via Kismet GPS correlation and location clustering (100m threshold) Spectacular KML visualization for Google Earth with professional styling and interactive content Multi-format reporting - Markdown, HTML (with pandoc), and KML outputs Time-window tracking (5, 10, 15, 20 minute windows) WiGLE API integration for SSID geolocation Multi-location tracking algorithms for detecting following behavior Enhanced GUI interface with surveillance analysis button Organized file structure with dedicated output directories Comprehensive logging and analysis tools Requirements Python 3.6+ Kismet wireless packet capture Wi-Fi adapter supporting monitor mode Linux-based system WiGLE API key (optional)

djangoproject

@djangoproject · Post #241 · 25.01.2017, 13:30

http://www.aparat.com/v/4yGhH #Geolocation apps with #Django. Latitude, longitude, altitude, and even #iBeacons can be leveraged to enable geo-targeted experiences. But how do we build and optimize the server-side components to handle these requirements? Using a combination of libraries and techniques, we will illustrate these concepts. In this discussion everything from #map clustering and caching, to distance calculations and polygonal layering will be demonstrated using Django, #GeoDjango, #Redis, and #PostGIS as our tool belt.