What sticks in your head

This morning I read an article by Dennis Felsing about his impressive/intimidating Linux desktop setup. He uses a lot of tools that are not the easiest way to get things done immediately but are long-term productivity investments.

Remembrance of syntax past

Felsing apparently is able to remember the syntax of scores of tools and programming languages. I cannot. Part of the reason is practice. I cannot remember the syntax of any software I don’t use regularly. It’s tempting to say that’s the end of the story: use it or lose it. Everybody has their set of things they use regularly and remember.

But I don’t think that’s all. I remember bits of math that I haven’t used in 30 years. Math fits in my head and sticks. Presumably software syntax sticks in the heads of people who use a lot of software tools.

There is some software syntax I can remember, however, and that’s software closely related to math. As I commented here, it was easy to come back to Mathematica and LaTeX after not using them for a few years.

Imprinting

Imprinting has something to do with this too: it’s easier to remember what we learn when we’re young. Felsing says he started using Linux in 2006, and his site says he graduated college in 2012, so presumably he was a high school or college student when he learned Linux.

When I was a student, my software world consisted primarily of Unix, Emacs, LaTeX, and Mathematica. These are all tools that I quit using for a few years, later came back to, and use today. I probably remember LaTeX and Mathematica syntax in part because I used it when I was a student. (I also think Mathematica in particular has an internal consistency that makes its syntax easier to remember.)

Picking your memory battles

I see the value in Felsing’s choice of tools. For example, the xmonad window manager. I’ve tried it, and I could imagine that it would make you more productive if you mastered it. But I don’t see myself mastering it.

I’ve learned a few tools with lots of arbitrary syntax, e.g. Emacs. But since I don’t have a prodigious memory for such things, I have to limit the number of tools I try to keep loaded in memory. Other things I load as needed, such as a language a client wants me to use that I haven’t used in a while.

Revisiting a piece of math doesn’t feel to me like revisiting a programming language. Brushing up on something from differential equations, for example, feels like pulling a book off a mental shelf. Brushing up on C# feels like driving to a storage unit, bringing back an old couch, and struggling to cram it in the door.

Middle ground

There are things you use so often that you remember their syntax without trying. And there are things you may never use again, and it’s not worth memorizing their syntax just in case. Some things in the middle, things you don’t use often enough to naturally remember, but often enough that you’d like to deliberately remember them. Some of these are what I call bicycle skills, things that you can’t learn just-in-time. For things in this middle ground, you might try something like Anki, a flashcard program with spaced repetition.

However, this middle ground should be very narrow, at least in my experience/opinion. For the most part, if you don’t use something often enough to keep it loaded in memory, I’d say either let it go or practice using it regularly.

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The hard part in becoming a command line wizard

I’ve long been impressed by shell one-liners. They seem like magical incantations. Pipe a few terse commands together, et voilà! Out pops the solution to a problem that would seem to require pages of code.

Source http://dilbert.com/strip/1995-06-24

Are these one-liners real or mythology? To some extent, they’re both. Below I’ll give a famous real example. Then I’ll argue that even though such examples do occur, they may create unrealistic expectations.

Bentley’s exercise

In 1986, Jon Bentley posted the following exercise:

Given a text file and an integer k, print the k most common words in the file (and the number of their occurrences) in decreasing frequency.

Donald Knuth wrote an elegant program in response. Knuth’s program runs for 17 pages in his book Literate Programming.

McIlroy’s solution is short enough to quote below [1].

    tr -cs A-Za-z '
    ' |
    tr A-Z a-z |
    sort |
    uniq -c |
    sort -rn |
    sed ${1}q

McIlroy’s response to Knuth was like Abraham Lincoln’s response to Edward Everett at Gettysburg. Lincoln’s famous address was 50x shorter than that of the orator who preceded him [2].

Knuth and McIlroy had very different objectives and placed different constraints on themselves, and so their solutions are not directly comparable. But McIlroy’s solution has become famous. Knuth’s solution is remembered, if at all, as the verbose program that McIlroy responded to.

The stereotype of a Unix wizard is someone who could improvise programs like the one above. Maybe McIlroy carefully thought about his program for days, looking for the most elegant solution. That would seem plausible, but in fact he says the script was “written on the spot and worked on the first try.” He said that the script was similar to one he had written a year before, but it still counts as an improvisation.

Why can’t I write scripts like that?

McIlroy’s script was a real example of the kind of wizardry attributed to Unix adepts. Why can’t more people quickly improvise scripts like that?

The exercise that Bentley posed was the kind of problem that programmers like McIlroy solved routinely at the time. The tools he piped together were developed precisely for such problems. McIlroy didn’t see his solution as extraordinary but said “Old UNIX hands know instinctively how to solve this one in a jiffy.”

The traditional Unix toolbox is full of utilities for text manipulation. Not only are they useful, but they compose well. This composability depends not only on the tools themselves, but also the shell environment they were designed to operate in. (The latter is why some utilities don’t work as well when ported to other operating systems, even if the functionality is duplicated.)

Bentley’s exercise was clearly text-based: given a text file, produce a text file. What about problems that are not text manipulation? The trick to being productive from a command line is to turn problems into text manipulation problems.  The output of a shell command is text. Programs are text. Once you get into the necessary mindset, everything is text. This may not be the most efficient approach to a given problem, but it’s a possible strategy.

The hard part

The hard part on the path to becoming a command line wizard, or any kind of wizard, is thinking about how to apply existing tools to your particular problems. You could memorize McIlroy’s script and be prepared next time you need to report word frequencies, but applying the spirit of his script to your particular problems takes work. Reading one-liners that other people have developed for their work may be inspiring, or intimidating, but they’re no substitute for thinking hard about your particular work.

Repetition

You get faster at anything with repetition. Maybe you don’t solve any particular kind of problem often enough to be fluent at solving it. If someone can solve a problem by quickly typing a one-liner in a shell, maybe they are clever, or maybe their job is repetitive. Or maybe both: maybe they’ve found a way to make semi-repetitive tasks repetitive enough to automate. One way to become more productive is to split semi-repetitive tasks into more creative and more repetitive parts.

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[1] The odd looking line break is a quoted newline.

[2] Everett’s speech contained 13,607 words while Lincoln’s Gettysburg Address contained 272, a ratio of almost exactly 50 to 1.

Improving on the Unix shell

Yesterday I ran across Askar Safin’s blog post The Collapse of the UNIX Philosophy. Two quotes from the post stood out. One was from Rob Pike about the Unix ideal of little tools that each do one job:

Those days are dead and gone and the eulogy was delivered by Perl.

The other was a line from James Hague:

… if you romanticize Unix, if you view it as a thing of perfection, then you lose your ability to imagine better alternatives and become blind to potentially dramatic shifts in thinking.

This brings up something I’ve long wondered about: What did the Unix shell get right that has made it so hard to improve on? It has some truly awful quirks, and yet people keep coming back to it. Alternatives that seem more rational don’t work so well in practice. Maybe it’s just inertia, but I don’t think so. There are other technologies from the 1970’s that had inertia behind them but have been replaced. The Unix shell got something so right that it makes it worth tolerating the flaws. Maybe some of the flaws aren’t even flaws but features that serve some purpose that isn’t obvious.

(By the way, when I say “the Unix shell” I have in mind similar environments as well, such as the Windows command line.)

On a related note, I’ve wondered why programming languages and shells work so differently. We want different things from a programming language and from a shell or REPL. Attempts to bring a programming language and shell closer together sound great, but they inevitably run into obstacles. At some point, we have different expectations of languages and shells and don’t want the two to be too similar.

Anthony Scopatz and I discussed this in an interview a while back in the context of xonsh, “a Python-powered, cross-platform, Unix-gazing shell language and command prompt.” While writing this post I went back to reread Anthony’s comments and appreciate them more now than I did then.

Maybe the Unix shell is near a local optimum. It’s hard to make much improvement without making big changes. As Anthony said, “you quickly end up where many traditional computer science people are not willing to go.”

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Three views of Windows and Unix

Rob Pike gave a presentation in 2001 entitled “The Good, the Bad, and the Ugly: The Unix Legacy.” His main point is that diversity has been bad for Unix. He opens his presentation with a couple of quotes to set this up.

‘‘The number of UNIX installations has grown to 10, with more expected.’’ — The UNIX Programmer’s Manual, 2nd Edition, June, 1972.

The number of UNIX variants has grown to dozens, with more expected.

He discusses much more than diversity, and I believe the more interesting parts of his talk are on other topics, but he begins and ends with diversity. One of his last slides says

Microsoft succeeds not because it’s good, but because there’s only one of them. … Unixes of the World, Unite!

Joel Spolsky has a different take on the differences between the operating systems in his article Biculturalism. Spolsky says that Unix software is programmer-friendly but Windows software is user-friendly for the vast majority of users who are not programmers. But Spolsky does touch on the diversity issue that Pike raised.

For example, Unix has a value of separating policy from mechanism which, historically, came from the designers of X. This directly led to a schism in user interfaces; nobody has ever quite been able to agree on all the details of how the desktop UI should work, and they think this is OK, because their culture values this diversity, but for Aunt Marge it is very much not OK to have to use a different UI to cut and paste in one program than she uses in another.

Just to throw in my two cents worth, I’ll mention my blog post Where the Unix philosophy breaks down. The Unix philosophy is to write little programs that do one thing well, then sew these little programs together to do your work. The problem is that many people lack the desire or skill to do the sewing. They want to avoid the transaction costs of switching software applications. Pike alludes to this problem, dismissively saying that people want “hand-holding” rather than pipes.

I don’t think this desire for integrated applications is necessarily a problem for Unix, only for the Unix philosophy that Unix doesn’t follow too strictly. The emphasis on orthogonal programs is a laudable ideal. It just needs to be tempered a bit for the convenience of mortal users.

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Software knowledge shelf life

In my experience, software knowledge has a longer useful shelf life in the Unix world than in the Microsoft world. (In this post Unix is a shorthand for Unix and Linux.)

A pro-Microsoft explanation would say that Microsoft is more progressive, always improving their APIs and tools, and that Unix is stagnant.

A pro-Unix explanation would say that Unix got a lot of things right the first time, that it is more stable, and that Microsoft’s technology turn-over is more churn than progress.

Pick your explanation. But for better or worse, change comes slower on the Unix side. And when it comes, it’s less disruptive.

At least that’s how it seems to me. Although I’ve used Windows and Unix, I’ve done different kinds of work on the two platforms. Maybe the pace of change relates more to the task than the operating system. Also, I have more experience with Windows and so perhaps I’m more aware of the changes there. But nearly everything I knew about Unix 20 years ago is still useful, and much of what I knew about Windows 10 years ago is not.

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Superficial convenience

Here’s an interesting phrase:

superficial convenience at the expense of real freedom

This comes from the conclusion of the 1998 essay The Elements of Style: UNIX as Literature by Thomas Scoville. The author sums up his preference for UNIX culture by saying he prefers the “freedom and responsibility that UNIX allows” to the “superficial convenience” of Windows NT.

I’m not interested in arguing here the relative merits of Unix and Windows. I’m more interested in broader ideas that spin off from the quote above. When is a convenience superficial? How well does convenience versus freedom explain technological controversies?

I could see substituting “short-term convenience” for “superficial convenience” and substituting “long-term efficiency” for “real freedom.” But that may lose something. Thomas Scoville’s terms may be more nuanced than my substitutions.

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Third-system effect

The third-system effect describes a simple system rising like a phoenix out of the ashes of a system that collapsed under its own complexity.

A notorious ‘second-system effect’ often afflicts the successors of small experimental prototypes. The urge to add everything that was left out the first time around all too frequently leads to huge and overcomplicated design. Less well known, because less common, is the ‘third-system effect’: sometimes, after the second system has collapsed of its own weight, there is a chance to go back to simplicity and get it right.

From The Art of Unix Programming by Eric S. Raymond. Available online here.

Raymond says that Unix was such a third system. What are other examples of the third-system effect?

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Why AT&T licensed UNIX to universities

Here are  a couple details of UNIX history I ran across this week.

Why AT&T first licensed UNIX to universities:

At this time [1974], AT&T held a government-sanctioned monopoly on the US telephone system. The terms of AT&T’s agreement with the US government prevented it from selling software, which meant that it could not sell UNIX as a product. Instead … AT&T licensed UNIX for use in universities for a nominal distribution fee.

And why later they turned it into a commercial product:

… US antitrust legislation forced the breakup of AT&T (… the break-up became effective in 1982) with the consequence that, since it no longer held a monopoly on the telephone system, the company was permitted to market UNIX.

Source: The Linux Programming Interface

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Where the Unix philosophy breaks down

Unix philosophy says a program should do only one thing and do it well. Solve problems by sewing together a sequence of small, specialized programs. Doug McIlroy summarized the Unix philosophy as follows.

This is the Unix philosophy: Write programs that do one thing and do it well. Write programs to work together. Write programs to handle text streams, because that is a universal interface.

This design philosophy is closely related to “orthogonality.” Programs should have independent features just as perpendicular (orthogonal) lines run in independent directions.

In practice, programs gain overlapping features over time.  A set of programs may start out orthogonal but lose their uniqueness as they evolve. I used to think that the departure from orthogonality was due to a loss of vision or a loss of discipline, but now I have a more charitable explanation.

The hard part isn’t writing little programs that do one thing well. The hard part is combining little programs to solve bigger problems. In McIlroy’s summary, the hard part is his second sentence: Write programs to work together.

Piping the output of a simple shell command to another shell command is easy. But as tasks become more complex, more and more work goes into preparing the output of one program to be the input of the next program. Users want to be able to do more in each program to avoid having to switch to another program to get their work done.

An example of the opposite of the Unix philosophy would be the Microsoft Office suite. There’s a great deal of redundancy between the programs. At a high level, Word is for word processing, Excel is the spreadsheet, Access is the database etc. But Excel has database features, Word has spreadsheet features, etc. You could argue that this is a terrible mess and that the suite of programs should be more orthogonal. But someone who spends most of her day in Excel doesn’t want to switch over to Access to do a query or open Word to format text. Office users are grateful for the redundancy.

Software applications do things they’re not good at for the same reason companies do things they’re not good at: to avoid transaction costs. Companies often pay employees more than they would have to pay contractors for the same work. Why? Because the total cost includes more than the money paid to contractors. It also includes the cost of evaluating vendors, writing contracts, etc. Having employees reduces transaction costs.

When you have to switch software applications, that’s a transaction cost. It may be less effort to stay inside one application and use it for something it does poorly than to switch to another tool. It may be less effort to learn how to do something awkwardly in a familiar application than to learn how to do it well in an unfamiliar application.

Companies expand or contract until they reach an equilibrium between bureaucracy costs and transaction costs. Technology can cause the equilibrium point to change over time. Decades ago it was efficient for organizations to become very large. Now transaction costs have lowered and organizations outsource more work.

Software applications may follow the pattern of corporations. The desire to get more work done in a single application leads to bloated applications, just as the desire to avoid transaction costs leads to bloated bureaucracies. But bloated bureaucracies face competition from lean start-ups and eventually shed some of their bloat or die. Bloated software may face similar competition from leaner applications. There are some signs that consumers are starting to appreciate software and devices that do less and do it well.

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The Unix Programming Environment

Joel Spolsky recommends the following books to self-taught programmers who apply to his company and need to fill in some gaps in their training.

The one that has me scratching my head is The Unix Programming Environment, first published in 1984. After listening to Joel’s podcast, I thumbed through my old copy of the book and thought “Man, I could never work like this.” Of course I could work like that, because I did, back around 1990. But the world has really changed since then.

I appreciate history and old books. I see the value in learning things you might not directly apply. But imagine telling twentysomething applicants to go read an operating system book that was written before they were born. Most would probably think you’re insane.

Update (16 November 2010): On second thought, I could see recommending that someone read The Unix Programming Environment these days even though technology has changed so much, but I’d still expect resistance.

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