内容简介:For many of us, how Git works under the hood is a mystery.If one really wanted to understand this topic better, these are some of the resources they’d probably look at:I’ve read
For many of us, how Git works under the hood is a mystery.
-
What is the
.gitdirectory used for? -
What are Git objects?
-
How does a Git client communicate with a Git server?
If one really wanted to understand this topic better, these are some of the resources they’d probably look at:
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The Pro Git book by Scott Chacon & Ben Straub
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Rebuilding Git in Ruby by Thoughtbot
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Write yourself a Git by Thibault Polge
I’ve read all of these, and I know that they aren’t the easiest to follow. They’re often theory-heavy with no code examples, or 2000 word+ series that can get hard to keep up with.
Here’s the part where I offer you a better solution.
The CodeCrafters’ Build your own Git challenge is a hands-on challenge where you’ll learn Git internals by building a small Git implementation. The application you build will be capable of cloning a public repository, committing changes and pushing them back to a Git server.
You’ll proceed stage by stage, starting with simple stages like “Initialize a repository” and eventually building up to a minimal-featured Git implementation that can interact with a public repository. Along the way, you’ll learn about the .git directory , a few of Git’s “plumbing” commands , Git objects (blobs, commits, trees etc.), Git’s transfer protocols and more.
You’re free to use any programming language of your choice, and work from the comfort of your own editor. Submit code via a git push once ready, and we’ll stream test results directly to your terminal.
You’ll also get to chat & compete with like-minded folks in the process. (We run 1-week long sessions, attempt at your own pace)
Sounds like your jam? Checkout ourearly access program!
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Java遗传算法编程
Lee Jacobson、Burak Kanber / 王海鹏 / 人民邮电出版社 / 2016-12-6 / 49元
本书简单、直接地介绍了遗传算法,并且针对所讨论的示例问题,给出了Java代码的算法实现。全书共分灾6章。第1章简单介绍了人工智能和生物进化的知识背景,这也是遗传算法的历史知识背景。第2章给出了一个基本遗传算法的实现;第4章和第5章,分别针对机器人控制器、旅行商问题、排课问题展开分析和讨论,并给出了算法实现。在这些章的末尾,还给出了一些练习供读者深入学习和实践。第6章专门讨论了各种算法的优化问题。 ......一起来看看 《Java遗传算法编程》 这本书的介绍吧!