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github怎么使用

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如图,我在eclipse上使用了两种方式导入了github上的一个"android-ui"项目(不知道有什么不同?一个导进来叫>android-ui,一个叫main)。现在我想将它酷炫的特效放到到自己的应用里,该怎么办?也没找到.jar的支持库啊。
本人小白一枚,问了什么愚蠢的问题还请各位大神不要嫌弃耐心解释。 , 说详细形象点~
最好说说怎么用,因为界面全是英文根本看不懂。。。看懂了也不知道界面内各部分是用来干啥的 ...

web前端开发怎么使用github: 使用github

git diff 对比文件的差异

git branch 列出所有分支

git log 显示提交记录

分支
git brach 分支名 创建分支
git checkout 分支名 切换分支

提交
git add 跟踪新文件或者已有文件的改动,或者用来解决冲突
git commit 把文件从stage提交到branch

删除
git rm 文件名 不但从stage中删除,同时删除物理文件

github star 有什么用: github 中的star作用:
star 的作用是收藏,目的是方便以后查找。
另外还有:
watch 的作用是关注,目的是等作者更新的时候,你可以收到通知。
fork 的作用是参与,目的是你增加新的内容,然后 Pull Request,把你的修改和主仓库原来的内容合并。

windows7 怎么用命令行使用github: 1. 下载Github for Windows,然后安装。
  2. 登陆,安装好后打开GitHub,用你的GitHub账号登陆。
  需要注意的事,Github for Windows会帮你创建SSH Key,你打开邮件应该会收到邮件帮你创建SSH Key的信息,这也省了不少。
  3. 创建一个仓库。点击上面的 “+Add” 按钮创建一个新的仓库,输入相关信息:
  4. 新建的仓库还没有真正地提交到本地仓库。
  相当于这只是一个new的修改,github简化了一些操作过程,对于任何修改,只需要添加评论就可以提交到本地仓库,然后这个时候才可以提交到远程仓库,所以来添加一条评论:在每次添加一个评论之后,就相当于向本地仓库提交了一本版本,之后,就可以选择一个版本向远处仓库提交了。
  5. 这个时候就可以Publish一个仓库了
  Publish之后按钮就变成in sync文字,表示以后的修改提交就是同步,这个时候你到你的github上看应该就会多一个仓库了
  6. 添加项目仓库在本地保存在一个文件夹中,
  Github for windows会监视这个文件夹,任何修改都会在仓库中看到,然后像上面一样添加评论就可以将修改提交到本地仓库,这里打开仓库目录,往里面添加一个项目:
  7. 将修改提交到本地仓库
  回到Github for windows中,已经可以看到刚才添加的项目了,同样,提交注释提交到本地仓库。
  8.最后,点击sync将本地仓库提交到github7. 参与开源项目协同开发:
  github现在已经深度支持Windows开发者了,现在每个在github的开源项目前面都有一个“Clone in Windows”的按钮,可以Clone任何感兴趣的开源项目,然后在地进行修改,参与开源项目的开发。点击该按钮之后,浏览器会要求打开Github for Windows,并下载项目至本地,新建一个本地仓库。
  总结:github for Windows简化了一些概念和操作,并且几乎所有主要操作都通过图形界面来完成,基本上能完成日常写作了。这些主要的简化包括: 1. 将push到远程仓库简化为一个同步按钮 2. 将提交到本地仓库简化为只需要对一些列修改添加评论更多的,还包括分支的建立和管理,这部分自己去探索吧,总之,github for Windows确实是一个非常好的工具。

Github上把源代码下来以后怎么使用?: 这种情况一般来说都是因为你下载下来的项目是用androidstudio做的,你只要把两个项目中java文件夹下的类按照相应的包复制到android-ui项目的src下,把main中的图片、xml等等都复制到android-ui中对应的位置上,再导入对应v4或者v7包就好了。我也常常在github上下载项目,基本都会碰到这个问题,那上面感觉用eclipse的是少数。

使用github换电脑了怎么办: github是程序猿的代码托管平台,也是基于git的开源分布式版本控制系统。然而,当你登陆github官网时,它并没有为你准备一个很好的代码上传的系统,这是因为它是基于git的分布式版本管理系。那么,如何更快更有效的将本地代码上传到github呢?首先,我们需要在本地安装git,这样才能在本地环境中使用git命令行,(例如:$ git add index.html)其次是要连接到你的github账户上,这样才能把你的代码文件上传上去,而每一次的更改都会形成一个版本记录,这样对团队协作是很有帮助的。

GitHub怎么使用Elasticsearch:   Interview with the Github Elasticsearch Team
  Transcript condensed and edited from the original audio. Thanks to both Tim Pease and Grant Rodgers of Github for taking the time to answer these questions!
  Andrew Cholakian: I’m here with the elasticsearch guys at github, Tim Pease and Grant Rogers. For those who don’t know, Github has a search tool that’s based on elasticsearch. We’re going to talk about how they operate elasticsearch at scale. For those who don’t know, can you walk us through what the actual applications of search are at Github? Is it just the consumer facing part?
  Tim Pease: There is a lot of search at Github. There is definitely the consumer phasing part. If you go to github.com/search you can look through repositories, users, issues, pull requests. and source code. The goal is to make everything that is publicly available, easy to find.
  Just those five things would correspond to five separate search indexes. Behind the scenes, we actually have probably a good 40 to 50 search indexes, just for all the different things that we keep track of. One example would be audit logs, so any time a user performs some sort of security-related action on Github, we write a document to an audit log in elasticsearch. If somebody thinks their account has been compromised or somebody has used it nefariously, we have a record of various actions associated with that account.
  We also track all exceptions from the various components that power Github.com. All of those exceptions end up in an elasticsearch index, which means we can do work with some fun, little histogram facets and various other statistical facets. We can, for instance track increases in the rate of a particular type of exception and that will reveal bugs in our software.
  Andrew Cholakian: So you guys have your own error reporting framework built in elasticsearch. Did you say that you use the time histogram facets to see where the spikes are in that graph?
  Tim Pease: Correct, That is something that Grant could definitely talk much more about in-depth if you’re interested.
  Andrew Cholakian: I actually am interested. There’s ton of different databases out there, so what made elasticsearch standout for that task?
  Grant Rodgers: Originally that surface was using only Riak and the idea was to use Riak secondary indexes. They were performing analytic calculations and storing them in Riak. For whatever reason that didn’t work pretty well. It was decided a few months ago to move all of the calculations to elasticsearch using the histogram facets, and that’s worked really well.
  We’re just really happy with the way elasticsearch performed. We’re trying to expand its use in that particular application.
  Andrew Cholakian: Do you guys have multiple clusters for these different applications or do you have one big co-tenant cluster?
  Tim Pease: We definitely have different clusters. The exception tracking lives in a total separate cluster. That way if we get a large volume of exceptions for whatever reason, it’s not going to take down other parts of the site. We try to segregate production clusters from things that are either just research or supporting internal tools. I think we currently have five clusters that I’m aware of across a couple of different data centers.
  Andrew Cholakian: I’m wondering, Can you give us an overview of what a Github elasticsearch looks like? What goes into the building one?
  Tim: Oh my goodness.
  Andrew Cholakian: If it’s huge, maybe a minimal version of how that whole thing works.
  Tim Pease: I think addressing it from just how we progressed in time would give you some good insight. We started using elasticsearch roughly two years ago. Originally all search was done inside of Solr. As more people started using Github and putting their repositories on there, we quickly exceeded the volume, just literally the storage space that one Solr cluster and Solr instance could handle. The choice then was to be figure out how to shard our own data and cluster Solr that way. Or do we move to something else that will handle that for us?
  We decided to move to elasticsearch, because we figured Shay Banon could shard things much better than we could. We started migrating things off of Solr on to this small four machine cluster inside of Rackspace cloud. Everything lived inside of that cluster. All these different things that we’ve talked about, what the audit logs, all of our production data, all of our internal tools were being supported on this one instance there. That worked out very well.
  From there, we decided to start working on searching source code, which is an entirely different scale of data. We quickly realized that a few machines inside a Rackspace cloud could not handle this volume of data. We began spending up a new cluster inside of Amazon’s EC2. That definitely is the largest cluster [we have] by sheer volume of document stored and machines involved. I believe that’s 44 separate EC2 instances at the moment. Each one has a ephemeral SSD storage attached to it. Each machine in there has two terabytes of the ephemeral SSD storage.
  That one is running elasticsearch 0.2, The volume of data there is 30 terabytes of primary data.

如何在windows下使用github的项目?: 1.首先,当然是要下载和安装软件了(找不到软件在哪里下的,看下图有地址。),这个比较简单,这里就不再细说。我们着重说下怎么使用。
2.安装好后运行软件,使用你的GitHub账号登陆。Github for Windows会为你创建SSH Key信息,你打开你的邮件就能看到为你创建SSH Key的信息。点击图中的+add会为创建一个新的仓库,
3.下面我们来添加一条评论,因为只有添加了评论后,我们新建的仓库才真正提交到本地仓库,然后才可以提交到远程仓库。
4.现在我们就可以Publish一个仓库了,等按钮就变成文字in sync,这样你以后的修改和提交就是同步的了。完成这一步后,你是不是看到你的github上多了一个仓库,说明你做对了。
5.打开仓库目录,往里面添加一个项目。将修改提交到本地仓库,再回到Github for windows中,是不是看到刚才添加的项目。然后,再将注释提交到本地仓库。再点击上角的sync将本地仓库提交到github。
6.现在你会发现每个github的开源项目前有了一个“Clone in Windows”按钮,通过点击该按钮浏览器会打开Github for Windows,并下载项目至本地,进而新建一个本地仓库。我们就可以开始我们的管理工作了。

GitHub是用来干嘛的。。: GitHub是程序员用的
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