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Source channel @olddriverGDstudy · Post #37 · Mar 17

1.前戏长点,能亲的不只嘴,还有锁骨、胸、大腿内侧 。侧着在后面含着耳垂舔。 2.后入时抓手臂更好用力,注意不要抓手腕(会弄疼女孩子),抓肩膀也可以哦。 3.大部分女生的耳朵是敏感处吧,吹气、低声说骚话真的会让女生不自觉地把腿夹紧。 4.洗白白吻遍身体很nice哦。 5.揉着胸从下面顶在洞口,没有见过不湿的。先来正常姿势,等她湿了就用龟头在洞口探进去再出来,一直挑逗,过一会就会发现她自己往里吸,忍着等她忍不住浑身扭,求你再进入。开始慢点,等明显感觉她夹得很紧,再开始。 #知识

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Search: #geolocation

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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.