Git Source Code Review
fabiensanglard.net
fabiensanglard.net
Also, I don't believe this is intended to be a review looking at coding practices that may cause problems, but rather a review in the sense of a description of a real-world codebase that describes how it works. Think of it in the sense of a review of the literature, a summary of what a body of work is about, not in the sense of a code review that is looking for potential problems that may need to be fixed.
As far as the issues you bring up go, Git is pretty thoroughly cross-platform if you assume a reasonable Unixy/POSIXy platform; while it can be made to work on Windows, it's a bit more cumbersome there; you need to use something that provides at least somewhat of a Unix like environment on Windows, such as MSYS or Cygwin.
As far as resource management and so on go, one of the big problems with the Git code base is that it's designed pretty heavily around a one-shot command model, rather than something which is amenable to being used as a library or in a long-running process. This is reason why the libgit2 project exists, to provide an implementation of Git that can be used as a library and integrated into other applications. Even Linus himself, who wrote the initial Git implementation, uses libgit2 when he wants something that can be used as a library[1].
[1]: https://plus.google.com/+LinusTorvalds/posts/X2XVf9Q7MfV
Going back to the introduction, this comment:
"Linux kernel 3.10 release had 15,803,499 lines of code !"
This is probably a stupid question, but what's going to happen to the large low level projects in the future when these devs have retired. Is the industry creating enough young talent to take over the low level stuff?
I personally went through Uni without having to write a single line of C. Even with those that go through a Computer Science (instead of Development focused) degree, how many actually leave and choose C for their personal projects or use it in the industry?
That said, once you are in the real world and you bump into your first real hard problems, the answer is often C. Need to speed up some Python, use C. Need to pour rocket fuel on your Erlang, use C. Need to run on an embedded device, use C. C tends to be low on surprises and most of them are exceptionally well documented and understood at this point. C tends to have decent libraries for whatever you need.
In certain open source communities -- you will use C because the stuff you depend on uses it. It is that simple.
I suspect the number of C developers is still relatively high, and while it won't be a primary / favorite of many -- it is the lingua franca if you will... lots of times stuff can be framed as a comparison to C, because everyone understands the context.
I think you answer your own question. I was going to reply to the the parent post, but I'll say it here. I find it barking mad that you can get a 4 year degree without using C or close equivalent. How else you do really understand how the machine works, how do you debug difficult hardware problems, how do you.. you get the idea.
The counter argument is that University is not trade school. Sure, but you need to understand the fundamentals. While I intensely dislike how Knuth uses a made up assembly language for his books, he has an important point - we really do need to understand how things are implemented under the hood, either because we are the ones implementing what is under the hood, or we have to understand which of many choices to use, and/or to debug problems when they come up. And that is not a detail, it is a fundamental aspect of being an engineer.
I witness people, when I ask them "why is X happening", respond with guesses. I don't mean they say "since Y and Y, I suspect Q", which is a reasonable utterance for an engineer. I just get "Q". You press as to why, and like startled birds they flush and you get "well, maybe R, or it could be P. Yes, it's P".
Whether it is a "science" degree or "engineering", we need to understand systems, and have experience with them. Reading a book about heaps only takes you so far. If you haven't implemented, say, a simple file allocation system, debugged some pointers, stepped through the allocation and deallocation of memory, looked at the assembly generated from your code, and so on (these can reasonably be replaced with other, equivalent experiences of course), how can you really understand computers?
$> foo bar &
$> foo baz &
parallelizes `foo` with a minimum of technical debt compared to a lower level approach. Perhaps the most famous example in all hackerdom llustrating the power of the shell was the Knuth-Mcillroy affair.http://www.leancrew.com/all-this/2011/12/more-shell-less-egg...
Then how do you explain why other languages are so much more popular?
Not only that, but how do you explain why the market for software developers compensates those with experience in these other languages more than those few developers who are highly competent in writing portable shell scripts?
Relative to what I have seen written by other developers, I consider myself a competent shell user.
Practice helps. On average I write or revise more than one new script per day.
And I've been doing this for years. The number of shell scripts I have written numbers in the thousands.
Is there a place where shell scripting is valued on par with the trendy languages like Python, Ruby, etc.?
(Arguably the most powerful language by weight is APL, which has a tiny but dedicated community)
Shell is very good at a narrow range of tasks involving text and file manipulation, but a couple of crippling limitations: whitespace in filenames (especially, god help you, newlines) destroys many casually written scripts, and the only structure really supported by the shell utils is newline-delimited.
I am a student of k and now q.
The biggest problem of the shell is the rules around quoting. That includes whitespace but also many other snafus.
As for all the utilities being geared toward line-by-line (newline delimited), this is true.
But quoting can be learnt with practice; I rarely have problems because it is second nature.
And, there's a shell utility called lex. It lets you design your own utilities (filters).
And you can create filters that read multiple lines, easy as pie. (Easier than mastering awk.)
You can even create your own programming language by combining lex with another standard utility: yacc. This is how C was created.
Do they still force CS students to learn about these utilities?
I would have liked to see examples on how algorithms are implemented in git and general notions on git's coding style, testing?? and other interesting stuff that one might find in one of the landmark open source projects.
Here is the demo - a now older version of the jQuery source code:
http://sherlockcode.com/demos/jquery/#!/src/core.js
Hover over a variable to see all instances of that variable highlighted and click on a variable to see all uses of that variable across all the files. You can also bookmark lines by clicking on the line number.
https://itunes.apple.com/app/napcat-github-client-for-open/i...
The 'trending' and keyword search features make it stand out from other GitHub clients on iOS. No affiliation.
> Torvalds has quipped about the name git, which is British English slang roughly equivalent to "unpleasant person". Torvalds said: "I'm an egotistical bastard, and I name all my projects after myself. First 'Linux', now 'git'." The man page describes git as "the stupid content tracker".
The Merriam-Webster reference is pertinent in a subthread which is about the meaning of the word "git" (yes, not germane to the article, but to criticize that you would downvote the comment at the root of the subthread.) So all these downvotes for one good-natured sentence?
[0] http://www.theregister.co.uk/2005/04/14/torvalds_attacks_tri...
"This job will be a complete git to do" and "He's always been a bit of an old git"
vs
"He is a complete get"
As for your question, the only source for git been a corruption of get I could find is a wikipedia post which has a big [citation needed] next to it and the sentence is incomplete.
As for etymology, the OED thinks it came from "get":
There is actually more lines of perl than shell if we exclude tests:
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
C 340 20596 18649 135900
Perl 43 4698 4310 27503
Bourne Shell 77 2523 1843 18766
C/C++ Header 140 2636 4635 11132
-------------------------------------------------------------------------------
SUM: 600 30453 29437 193301
-------------------------------------------------------------------------------
If we don't exclude tests: -------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
C 341 20602 18656 135910
Bourne Shell 761 21736 6908 124222
Perl 47 4728 4325 27739
C/C++ Header 140 2636 4635 11132
-------------------------------------------------------------------------------
SUM: 1289 49702 34524 299003
-------------------------------------------------------------------------------