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Chaîne source @OnePlusGuide · Post #2779 · 8 sept.

🔻OXYGENOS11 OPEN BETAPER ONEPLUS 8 E 8 PRO🔻 #OXYGENOS11#ONEPLUS Dopo mesi e mesi di teaser, leak e rumors ci siamo: OnePlus ha reso pubblica, sotto forma di Open Beta, la nuova OxygenOS 11 basata su Android 11 (al momento solo per OP8 e 8 Pro!) Per praticità (ma soprattutto per non fare un post lungo un'eternità) vi lascio qui di seguito il link a un telegraph dove sono elencati e brevemente descritti tutti i cambiamenti apportati fino ad ora. 🔸OxygenOS 11 Changelog 🔸 Downloads: OP8 | OP8PRO Se avete domande e/o dubbi, non esitate a porceli nei nostri gruppi! Pit — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity

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Recherche : #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.