zipcode

I'm trying to handle proximity search for a basic store locater in Django. Rather than haul PostGIS around with my app just so I can use GeoDjango's distance filter, I'd like to use the Spherical Law of Cosines distance formula in a model query. I'd like all of the calculations to be done in the database in one query, for efficiency. An example MySQL query from The Internet implementing the Spherical Law of Cosines like this: SELECT id, ( 3959 * acos( cos( radians(37) ) * cos( radians( lat ) ) * cos( radians( lng ) - radians(-122) ) + sin( radians(37) ) * sin( radians( lat ) ) ) ) AS distance

Is it possible to know the city name based on IP address in java? are you using jsp or what ? for city name over client side you can use google's API which will return you the geographical details of the user mapped with the IP. As google's documentation say you can get the following When populated, the google.loader.ClientLocation object is populated with the following metro-level granularity properties: * ClientLocation.latitude — supplies the low resolution latitude associated with the client's IP address * ClientLocation.longitude — supplies the low resolution longitude associated with the

比较运算符 $eq 释义: 匹配等于 (=) 指定值的文档 示例: 查询age=20的文档： db.person.find( { age: { $eq: 20 } } ) 相当于： db.person.find( { age: 20 } ) $ne 释义:匹配不等于（≠）指定值的文档 $lt 释义:匹配小于（<）指定值的文档 $lte 释义: 匹配小于等于 (<=) 指定值的文档 $gt 释义:匹配大于 (>) 指定值的文档 $gte 释义:匹配大于等于 (>=) 指定值的文档 $in 释义:匹配数组中符合要求的值 示例: 查询该集合中字段qty的值与数组中的任意值相等的文档： db.inventory.find( { qty: { $in: [ 5, 15 ] } } ) $nin 释义:不匹配数组中得值 逻辑操作符 $or 释义:或 示例: 查询age<20或者address是beijing的文档： db.person.find( { $or: [ { age: { $lt: 20 } }, { address: "beijing" } ] } ) $and 释义:与 $not 释义:非 $nor 释义:一个条件都不满足 示例: 查询age既不等于20，sex也不是男的文档： db.person.find( { $nor: [ { age: 20 },{ sex: "男"} ]

When users register with our app, we are able to infer their zip code when we validate them against a national database. What would be the best way to determine a good potential guess of their time zone from this zip code? We are trying to minimize the amount of data we explicitly have to ask them for. They will be able to manually set the time zone later if our best guess is wrong. I realize zip codes won't help with figuring out the time zone outside the US, but in that case we'd have to manually ask anyway, and we deal predominantly with the US regardless. I've found a lot of zip code