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Source channel @olddriverGDstudy · Post #13 · Mar 17

#秀哥语录 2020.12.27【撩妹模板】#撩妹#语录 告诉你们一个小秘密 没事多去逛逛有年轻漂亮老板娘的美甲店 不要问我为什么 小姐姐 我买几瓶指甲油送给喜欢的人 买好付完钱送给老板娘 你就是我喜欢的人 你可以直白的告诉老板娘 其实我已经关注你好久了 第一次见到你 就有种心跳的感觉 我已经好多次想进来了 就是不知道怎么和你搭讪 可是 你的身影实在挥之不去 我今天忍不住了 豁出去了 就想告诉你 我真的好喜欢你 能不能加个好友

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Libreware

@libreware · Post #1512 · 09/28/2025, 11:58 AM

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 · 01/25/2017, 01:30 PM

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.