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搜索[本地AI]，共10010篇文章

centos7 配置本地yum源

dev/cdrom /mnt/cdrom 二、备份原yum源配置 mv /etc/yum.repos.d /etc/yum.repos.d.bak mkdir /etc/yum.repos.d 三、创建本地

2017-12-03

用Centos镜像搭建本地yum源

但是以上的方法都是需要网络的，当没有网络的时候就无法使用了，所以还有一个常用的方法就是用Centos的iso镜像搭建本地yum源，这样安装软件的速度就会飞快，缺点是可能有些包没有。

2017-12-02

应用场景 spark是用scala写的一种极其强悍的计算工具，spark内存计算，提供了图计算，流式计算，机器学习，即时查询等十分方便的工具，当然我们也可以通过python代码，来调用实现spark计算，用spark来辅助我们计算，使代码效率更快，用户体验更强。操作流程按照windows搭建Python开发环境博文，搭建python开发环境，实际已经将Spark环境部署完成了，所以直接可以用python语言写一些spark相关的程序！代码示例： from pyspark import SparkContext sc = SparkContext("local","Simple App") doc = sc.parallelize([['a','b','c'],['b','d','d']]) words = doc.flatMap(lambda d:d).distinct().collect() word_dict = {w:i for w,i in zip(words,range(len(words)))} word_dict_b = sc.broadcast(word_dict) def wordCountPerDoc(d): dict={} wd = word_dict_b.value for w in d: if dict.get(wd[w],0): dict[wd[w]] +=1 else: dict[wd[w]] = 1 return dict print(doc.map(wordCountPerDoc).collect()) print("successful!") 结果展示： D:\Anaconda\anaconda\python.exe E:/pythonworkspace/pythontest001/Test001/test002.py Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 17/11/21 15:00:18 INFO SparkContext: Running Spark version 1.6.1 17/11/21 15:00:21 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 17/11/21 15:00:21 INFO SecurityManager: Changing view acls to: lenovo 17/11/21 15:00:21 INFO SecurityManager: Changing modify acls to: lenovo 17/11/21 15:00:21 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(lenovo); users with modify permissions: Set(lenovo) 17/11/21 15:00:25 INFO Utils: Successfully started service 'sparkDriver' on port 60670. 17/11/21 15:00:25 INFO Slf4jLogger: Slf4jLogger started 17/11/21 15:00:25 INFO Remoting: Starting remoting 17/11/21 15:00:26 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.114.67:60684] 17/11/21 15:00:26 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 60684. 17/11/21 15:00:26 INFO SparkEnv: Registering MapOutputTracker 17/11/21 15:00:26 INFO SparkEnv: Registering BlockManagerMaster 17/11/21 15:00:26 INFO DiskBlockManager: Created local directory at C:\Users\lenovo\AppData\Local\Temp\blockmgr-a0245427-988c-4b5a-8653-ee9e228de6ba 17/11/21 15:00:26 INFO MemoryStore: MemoryStore started with capacity 511.1 MB 17/11/21 15:00:26 INFO SparkEnv: Registering OutputCommitCoordinator 17/11/21 15:00:26 INFO Utils: Successfully started service 'SparkUI' on port 4040. 17/11/21 15:00:26 INFO SparkUI: Started SparkUI at http://192.168.114.67:4040 17/11/21 15:00:27 INFO Executor: Starting executor ID driver on host localhost 17/11/21 15:00:27 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 60691. 17/11/21 15:00:27 INFO NettyBlockTransferService: Server created on 60691 17/11/21 15:00:27 INFO BlockManagerMaster: Trying to register BlockManager 17/11/21 15:00:27 INFO BlockManagerMasterEndpoint: Registering block manager localhost:60691 with 511.1 MB RAM, BlockManagerId(driver, localhost, 60691) 17/11/21 15:00:27 INFO BlockManagerMaster: Registered BlockManager 17/11/21 15:00:28 INFO SparkContext: Starting job: collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5 17/11/21 15:00:28 INFO DAGScheduler: Registering RDD 2 (distinct at E:/pythonworkspace/pythontest001/Test001/test002.py:5) 17/11/21 15:00:28 INFO DAGScheduler: Got job 0 (collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5) with 1 output partitions 17/11/21 15:00:28 INFO DAGScheduler: Final stage: ResultStage 1 (collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5) 17/11/21 15:00:28 INFO DAGScheduler: Parents of final stage: List(ShuffleMapStage 0) 17/11/21 15:00:28 INFO DAGScheduler: Missing parents: List(ShuffleMapStage 0) 17/11/21 15:00:28 INFO DAGScheduler: Submitting ShuffleMapStage 0 (PairwiseRDD[2] at distinct at E:/pythonworkspace/pythontest001/Test001/test002.py:5), which has no missing parents 17/11/21 15:00:28 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 6.6 KB, free 6.6 KB) 17/11/21 15:00:28 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 4.3 KB, free 11.0 KB) 17/11/21 15:00:28 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:60691 (size: 4.3 KB, free: 511.1 MB) 17/11/21 15:00:28 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006 17/11/21 15:00:28 INFO DAGScheduler: Submitting 1 missing tasks from ShuffleMapStage 0 (PairwiseRDD[2] at distinct at E:/pythonworkspace/pythontest001/Test001/test002.py:5) 17/11/21 15:00:28 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 17/11/21 15:00:28 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, partition 0,PROCESS_LOCAL, 2099 bytes) 17/11/21 15:00:28 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 17/11/21 15:00:30 INFO PythonRunner: Times: total = 1240, boot = 1221, init = 19, finish = 0 17/11/21 15:00:30 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 1222 bytes result sent to driver 17/11/21 15:00:30 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 1433 ms on localhost (1/1) 17/11/21 15:00:30 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 17/11/21 15:00:30 INFO DAGScheduler: ShuffleMapStage 0 (distinct at E:/pythonworkspace/pythontest001/Test001/test002.py:5) finished in 1.465 s 17/11/21 15:00:30 INFO DAGScheduler: looking for newly runnable stages 17/11/21 15:00:30 INFO DAGScheduler: running: Set() 17/11/21 15:00:30 INFO DAGScheduler: waiting: Set(ResultStage 1) 17/11/21 15:00:30 INFO DAGScheduler: failed: Set() 17/11/21 15:00:30 INFO DAGScheduler: Submitting ResultStage 1 (PythonRDD[5] at collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5), which has no missing parents 17/11/21 15:00:30 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 5.5 KB, free 16.5 KB) 17/11/21 15:00:30 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 3.4 KB, free 19.8 KB) 17/11/21 15:00:30 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on localhost:60691 (size: 3.4 KB, free: 511.1 MB) 17/11/21 15:00:30 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1006 17/11/21 15:00:30 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (PythonRDD[5] at collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5) 17/11/21 15:00:30 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks 17/11/21 15:00:30 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, localhost, partition 0,NODE_LOCAL, 1894 bytes) 17/11/21 15:00:30 INFO Executor: Running task 0.0 in stage 1.0 (TID 1) 17/11/21 15:00:30 INFO ShuffleBlockFetcherIterator: Getting 1 non-empty blocks out of 1 blocks 17/11/21 15:00:30 INFO ShuffleBlockFetcherIterator: Started 0 remote fetches in 9 ms 17/11/21 15:00:31 INFO PythonRunner: Times: total = 1289, boot = 1280, init = 9, finish = 0 17/11/21 15:00:31 INFO Executor: Finished task 0.0 in stage 1.0 (TID 1). 1290 bytes result sent to driver 17/11/21 15:00:31 INFO DAGScheduler: ResultStage 1 (collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5) finished in 1.377 s 17/11/21 15:00:31 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 1375 ms on localhost (1/1) 17/11/21 15:00:31 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool 17/11/21 15:00:31 INFO DAGScheduler: Job 0 finished: collect at E:/pythonworkspace/pythontest001/Test001/test002.py:5, took 3.307445 s 17/11/21 15:00:31 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 352.0 B, free 20.2 KB) 17/11/21 15:00:31 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 115.0 B, free 20.3 KB) 17/11/21 15:00:31 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on localhost:60691 (size: 115.0 B, free: 511.1 MB) 17/11/21 15:00:31 INFO SparkContext: Created broadcast 2 from broadcast at PythonRDD.scala:430 17/11/21 15:00:31 INFO SparkContext: Starting job: collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18 17/11/21 15:00:31 INFO DAGScheduler: Got job 1 (collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18) with 1 output partitions 17/11/21 15:00:31 INFO DAGScheduler: Final stage: ResultStage 2 (collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18) 17/11/21 15:00:31 INFO DAGScheduler: Parents of final stage: List() 17/11/21 15:00:31 INFO DAGScheduler: Missing parents: List() 17/11/21 15:00:31 INFO DAGScheduler: Submitting ResultStage 2 (PythonRDD[6] at collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18), which has no missing parents 17/11/21 15:00:31 INFO MemoryStore: Block broadcast_3 stored as values in memory (estimated size 4.3 KB, free 24.5 KB) 17/11/21 15:00:31 INFO MemoryStore: Block broadcast_3_piece0 stored as bytes in memory (estimated size 2.8 KB, free 27.3 KB) 17/11/21 15:00:31 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory on localhost:60691 (size: 2.8 KB, free: 511.1 MB) 17/11/21 15:00:31 INFO SparkContext: Created broadcast 3 from broadcast at DAGScheduler.scala:1006 17/11/21 15:00:31 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (PythonRDD[6] at collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18) 17/11/21 15:00:31 INFO TaskSchedulerImpl: Adding task set 2.0 with 1 tasks 17/11/21 15:00:31 INFO TaskSetManager: Starting task 0.0 in stage 2.0 (TID 2, localhost, partition 0,PROCESS_LOCAL, 2110 bytes) 17/11/21 15:00:31 INFO Executor: Running task 0.0 in stage 2.0 (TID 2) 17/11/21 15:00:33 INFO PythonRunner: Times: total = 1199, boot = 1195, init = 3, finish = 1 17/11/21 15:00:33 INFO Executor: Finished task 0.0 in stage 2.0 (TID 2). 1040 bytes result sent to driver 17/11/21 15:00:33 INFO TaskSetManager: Finished task 0.0 in stage 2.0 (TID 2) in 1235 ms on localhost (1/1) 17/11/21 15:00:33 INFO TaskSchedulerImpl: Removed TaskSet 2.0, whose tasks have all completed, from pool 17/11/21 15:00:33 INFO DAGScheduler: ResultStage 2 (collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18) finished in 1.237 s 17/11/21 15:00:33 INFO DAGScheduler: Job 1 finished: collect at E:/pythonworkspace/pythontest001/Test001/test002.py:18, took 1.267822 s [{0: 1, 1: 1, 2: 1}, {2: 1, 3: 2}] successful! 17/11/21 15:00:33 INFO SparkContext: Invoking stop() from shutdown hook Process finished with exit code 0

2017-11-21

本地windows跑Scala程序调用Spark

应用场景 spark是用scala写的一种极其强悍的计算工具，spark内存计算，提供了图计算，流式计算，机器学习，即时查询等十分方便的工具，所以利用scala来进行spark编程是十分必要的，下面简单书写一个spark连接mysql读取信息的例子。操作流程按照windows搭建Scala开发环境博文，搭建scala开发环境，实际已经将Spark环境部署完成了，所以直接可以用scala语言写一些spark相关的程序！ package epoint.com.cn.test001 import org.apache.spark.sql.SQLContext import org.apache.spark.SparkConf import org.apache.spark.SparkContext import org.apache.spark.rdd.RDD object SparkConnMysql { def main(args: Array[String]) { println("Hello, world!") val conf = new SparkConf() conf.setAppName("wow,my first spark app") conf.setMaster("local") val sc = new SparkContext(conf) val sqlContext = new SQLContext(sc) val url = "jdbc:mysql://192.168.114.67:3306/user" val table = "user" val reader = sqlContext.read.format("jdbc") reader.option("url", url) reader.option("dbtable", table) reader.option("driver", "com.mysql.jdbc.Driver") reader.option("user", "root") reader.option("password", "11111") val df = reader.load() df.show() } } 运行结果： Hello, world! Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/D:/spark1.6/lib/spark-assembly-1.6.1-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/D:/spark1.6/lib/spark-examples-1.6.1-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/D:/kettle7.1/inceptor-driver.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] 17/11/21 11:43:53 INFO SparkContext: Running Spark version 1.6.1 17/11/21 11:43:55 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 17/11/21 11:43:56 INFO SecurityManager: Changing view acls to: lenovo 17/11/21 11:43:56 INFO SecurityManager: Changing modify acls to: lenovo 17/11/21 11:43:56 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(lenovo); users with modify permissions: Set(lenovo) 17/11/21 11:43:59 INFO Utils: Successfully started service 'sparkDriver' on port 55824. 17/11/21 11:43:59 INFO Slf4jLogger: Slf4jLogger started 17/11/21 11:43:59 INFO Remoting: Starting remoting 17/11/21 11:43:59 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@192.168.114.67:55837] 17/11/21 11:43:59 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 55837. 17/11/21 11:43:59 INFO SparkEnv: Registering MapOutputTracker 17/11/21 11:43:59 INFO SparkEnv: Registering BlockManagerMaster 17/11/21 11:43:59 INFO DiskBlockManager: Created local directory at C:\Users\lenovo\AppData\Local\Temp\blockmgr-16383e3c-7cb6-43c7-b300-ccc1a1561bb4 17/11/21 11:43:59 INFO MemoryStore: MemoryStore started with capacity 1129.9 MB 17/11/21 11:44:00 INFO SparkEnv: Registering OutputCommitCoordinator 17/11/21 11:44:00 INFO Utils: Successfully started service 'SparkUI' on port 4040. 17/11/21 11:44:00 INFO SparkUI: Started SparkUI at http://192.168.114.67:4040 17/11/21 11:44:00 INFO Executor: Starting executor ID driver on host localhost 17/11/21 11:44:00 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 55844. 17/11/21 11:44:00 INFO NettyBlockTransferService: Server created on 55844 17/11/21 11:44:00 INFO BlockManagerMaster: Trying to register BlockManager 17/11/21 11:44:00 INFO BlockManagerMasterEndpoint: Registering block manager localhost:55844 with 1129.9 MB RAM, BlockManagerId(driver, localhost, 55844) 17/11/21 11:44:00 INFO BlockManagerMaster: Registered BlockManager 17/11/21 11:44:05 INFO SparkContext: Starting job: show at SparkConnMysql.scala:25 17/11/21 11:44:05 INFO DAGScheduler: Got job 0 (show at SparkConnMysql.scala:25) with 1 output partitions 17/11/21 11:44:05 INFO DAGScheduler: Final stage: ResultStage 0 (show at SparkConnMysql.scala:25) 17/11/21 11:44:05 INFO DAGScheduler: Parents of final stage: List() 17/11/21 11:44:05 INFO DAGScheduler: Missing parents: List() 17/11/21 11:44:05 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at show at SparkConnMysql.scala:25), which has no missing parents 17/11/21 11:44:06 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 5.2 KB, free 5.2 KB) 17/11/21 11:44:06 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 2.5 KB, free 7.7 KB) 17/11/21 11:44:06 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:55844 (size: 2.5 KB, free: 1129.9 MB) 17/11/21 11:44:06 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006 17/11/21 11:44:06 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at show at SparkConnMysql.scala:25) 17/11/21 11:44:06 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks 17/11/21 11:44:06 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, partition 0,PROCESS_LOCAL, 1922 bytes) 17/11/21 11:44:06 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 17/11/21 11:44:06 INFO JDBCRDD: closed connection 17/11/21 11:44:06 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 3472 bytes result sent to driver 17/11/21 11:44:06 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 224 ms on localhost (1/1) 17/11/21 11:44:06 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 17/11/21 11:44:06 INFO DAGScheduler: ResultStage 0 (show at SparkConnMysql.scala:25) finished in 0.261 s 17/11/21 11:44:06 INFO DAGScheduler: Job 0 finished: show at SparkConnMysql.scala:25, took 1.467252 s +---+----+----+------------+------------------+---------+-------+ | id|name| age| phone| email|startdate|enddate| +---+----+----+------------+------------------+---------+-------+ | 11| 徐心三| 24| 2423424| 2423424@qq.com| null| null| | 33| 徐心七| 23| 23232323| 13131@qe| null| null| | 55| 徐彬| 22| 15262301036|徐彬757661238@ww.com| null| null| | 44| 徐成|3333| 23423424332| 2342423@qq.com| null| null| | 66| 徐心四| 23|242342342423| 徐彬23424@qq.com| null| null| | 11| 徐心三| 24| 2423424| 2423424@qq.com| null| null| | 33| 徐心七| 23| 23232323| 13131@qe| null| null| | 55| 徐彬| 22| 15262301036|徐彬757661238@ww.com| null| null| | 44| 徐成|3333| 23423424332| 2342423@qq.com| null| null| | 66| 徐心四| 23|242342342423| 徐彬23424@qq.com| null| null| | 88| 徐心八| 123| 131231312| 123123@qeqe| null| null| | 99| 徐心二| 23| 13131313| 1313133@qeq.com| null| null| |121| 徐心五| 13| 123131231| 1231312@qq.com| null| null| |143| 徐心九| 23| 234234| 徐彬234@wrwr| null| null| +---+----+----+------------+------------------+---------+-------+ only showing top 14 rows 17/11/21 11:44:06 INFO SparkContext: Invoking stop() from shutdown hook 17/11/21 11:44:06 INFO SparkUI: Stopped Spark web UI at http://192.168.114.67:4040 17/11/21 11:44:06 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 17/11/21 11:44:06 INFO MemoryStore: MemoryStore cleared 17/11/21 11:44:06 INFO BlockManager: BlockManager stopped 17/11/21 11:44:06 INFO BlockManagerMaster: BlockManagerMaster stopped 17/11/21 11:44:06 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 17/11/21 11:44:06 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon. 17/11/21 11:44:06 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports. 17/11/21 11:44:06 INFO SparkContext: Successfully stopped SparkContext 17/11/21 11:44:07 INFO ShutdownHookManager: Shutdown hook called 17/11/21 11:44:07 INFO ShutdownHookManager: Deleting directory C:\Users\lenovo\AppData\Local\Temp\spark-7877d903-f8f7-4efb-9e0c-7a11ac147153

2017-11-20

iOS image内容保存到本地相册

如下代码所示点击按钮，将self.imageView上面的image内容保存到本地相册，并指定判断保存成功与否的方法imageSavedToPhotosAlbum:didFinishSavingWithError

2017-11-14

docker 入门操作与本地厂库

docker rm93e712c9d914 (删除正在运行的容器docker rm f) docker私有厂库：当我们使用docker pull的时候默认是从官方的镜像去下载的，在我们环境中要是搭建一个本地的厂库存放我们的镜像就在合适不过了

2017-11-14

android studio 修改gradle引用本地文件

如何使用本地gradle 修改gradle-wrapper.properties文件下的 distributionUrl=file:///Volumes/MAC-WORK/download/gradle

2017-11-11

DevOps和容器：本地or云端，如何选择？

在本地，还是去云端？这一辩论由来已久，尤其是在云计算兴起时，那时人们一直在反复思考是该将工作负载保留在本地数据中心还是迁移到云主机上。但是，Docker带来的技术革命把这场辩论引入了一个新的层面。

2017-11-11

iOS：搭建本地的服务器

一、介绍作为一个专业的程序员，不管你是前端还是移动端或者是后台，能够自己试着搭建一个本地的服务器还是很有必要的，有的时候，我们可以自己测试一些数据，很方便开发。

2017-10-17

iOS - OC NSLocale 本地化信息

前言 @interface NSLocale : NSObject <NSCopying, NSSecureCoding> NSLocale 类返回本地化信息，主要体现在"语言"和"区域格式

2016-08-17

iOS - Swift NSLocale 本地化信息

前言 public class NSLocale : NSObject, NSCopying, NSSecureCoding NSLocale 类返回本地化信息，主要体现在"语言"和"区域格式"这两个设置项

2016-08-15

iOS 疑难杂症 — — 推送本地国际化 loc-key 本地化失败的问题

一、准备推送本地国际化官方文档： https://developer.apple.com/library/ios/documentation/NetworkingInternet/Conceptual

2017-12-03

本地生活平台搭建：中台分层实践

地级市团队做本地生活平台搭建，首期往往只想跑通外卖加跑腿，预算留给专项定制，人力却有限。

2026-08-24

WorkBuddy使用心得_本地任务自动值守

之前想解决这事，要么租服务器配 cron + 推送通道，要么自己搭一套消息转发，想想就头大。

2026-08-21

极简的本地多 Agent 协作范式

在智能体（Agent）协作的浪潮里，主流方案大多围绕「云端编排 + 多服务通信」展开，动辄要启动 Redis、消息队列、独立进程，甚至拉起整套 Kubernetes。但对个人开发者来说，很多场景其实并不需要这么重：我只是想在本机同时跑几个各司其职的智能体，让它们协同改代码、做调研、写文档，互相传递上下文，最后汇总结果。

2026-08-21

DeepSeek Harness 本地安装与使用指南

DeepSeek Harness（简称 DSH）是 DeepSeek AI 于 2026 年 8 月开源的 Agent 运行框架，目前处于开发者预览阶段。

2026-08-14

Paperclip如何搭本地Agent工作台

Paperclip 是 paperclipai/paperclip 仓库里的开源项目，README 把它定位为用于管理工作场景 AI agents 的应用，适合先按本地开发工具来验收。

2026-08-14

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