We are here because the editor of this magazine asked me, “Can you tell me what code is?”“No,” I said. “First of all, I’m not good at the math. I’m a programmer, yes, but I’m an East Coast programmer, not one of these serious platform people from the Bay Area.”
I began to program nearly 20 years ago, learning via oraperl, a special version of the Perl language modified to work with the Oracle database. A month into the work, I damaged the accounts of 30,000 fantasy basketball players. They sent some angry e-mails. After that, I decided to get better.
Which is to say I’m not a natural. I love computers, but they never made any sense to me. And yet, after two decades of jamming information into my code-resistant brain, I’ve amassed enough knowledge that the computer has revealed itself. Its magic has been stripped away. I can talk to someone who used to work at Amazon.com or Microsoft about his or her work without feeling a burning shame. I’d happily talk to people from Google and Apple, too, but they so rarely reenter the general population.
[---]
What I’m saying is, I’m one of 18 million. So that’s what I’m writing: my view of software development, as an individual among millions. Code has been my life, and it has been your life, too. It is time to understand how it all works.
[---]
Python is a very interesting language and quite popular, too. It’s object-oriented but not rigid. And it’s widely understood to be easier than C for programmers to use, because it provides more abstractions for programmers to reuse. It hides much of the weirdness of the computer and many details of how computation is performed. Python is usually slower than C; this is the price you pay for all those sweet levels of abstraction. In the vast majority of cases this difference in speed truly doesn’t matter, regardless of how much people protest. It’s only of consequence when you’ve built up a system in Python and a part of it runs millions or billions of times, slowing down the computer—and thus requiring more resources to get its work done.
What then? Does this mean you need to throw away all your Python and start over in some other language? Probably not. Python has a deserved reputation as a “glue language,” meaning you can take code from other, lower-level languages such as C, C++, and Fortran 77 (yes, as in the year 1977), code that is close to the machine and known to be sound, and write “wrapper functions.” That is, you can embed the older, faster code in the newer, slower, but easier-to-use system.
A big part of this process is in wrapping up the old code in nice, well-organized Python functions. In many ways the idiom of a language is not just how it looks but also how it feels. Some languages emphasize brevity. Some support long, complex functions, while others encourage you to break up functionality into small pieces. Style and usage matter; sometimes programmers recommend Strunk & White’s The Elements of Style—that’s right, the one about the English language. Its focus on efficient usage resonates with programmers. The idiom of a language is part of its communal identity.
Python is not the glue for everything, though. It’s hard to connect to Java but fits C hand to glove. There’s a version of Python designed to run inside of Java and use Java code. That’s called Jython. If you want a version that works with Microsoft’s .NET, you can go with IronPython.
But there’s another way to interpret all this activity around Python: People love it and want it to work everywhere and do everything. They’ve spent tens of thousands of hours making that possible and then given the fruit of their labor away. That’s a powerful indicator. A huge amount of effort has gone into making Python practical as well as pleasurable to use. There are lots of conferences, frequent code updates, and vibrant mailing lists. You pick a language not just on its technical merits, or its speediness, or the job opportunities it may present, but also on its culture.
Python people, generally, are pretty cool.
- More Here
I began to program nearly 20 years ago, learning via oraperl, a special version of the Perl language modified to work with the Oracle database. A month into the work, I damaged the accounts of 30,000 fantasy basketball players. They sent some angry e-mails. After that, I decided to get better.
Which is to say I’m not a natural. I love computers, but they never made any sense to me. And yet, after two decades of jamming information into my code-resistant brain, I’ve amassed enough knowledge that the computer has revealed itself. Its magic has been stripped away. I can talk to someone who used to work at Amazon.com or Microsoft about his or her work without feeling a burning shame. I’d happily talk to people from Google and Apple, too, but they so rarely reenter the general population.
[---]
What I’m saying is, I’m one of 18 million. So that’s what I’m writing: my view of software development, as an individual among millions. Code has been my life, and it has been your life, too. It is time to understand how it all works.
[---]
Python is a very interesting language and quite popular, too. It’s object-oriented but not rigid. And it’s widely understood to be easier than C for programmers to use, because it provides more abstractions for programmers to reuse. It hides much of the weirdness of the computer and many details of how computation is performed. Python is usually slower than C; this is the price you pay for all those sweet levels of abstraction. In the vast majority of cases this difference in speed truly doesn’t matter, regardless of how much people protest. It’s only of consequence when you’ve built up a system in Python and a part of it runs millions or billions of times, slowing down the computer—and thus requiring more resources to get its work done.
What then? Does this mean you need to throw away all your Python and start over in some other language? Probably not. Python has a deserved reputation as a “glue language,” meaning you can take code from other, lower-level languages such as C, C++, and Fortran 77 (yes, as in the year 1977), code that is close to the machine and known to be sound, and write “wrapper functions.” That is, you can embed the older, faster code in the newer, slower, but easier-to-use system.
A big part of this process is in wrapping up the old code in nice, well-organized Python functions. In many ways the idiom of a language is not just how it looks but also how it feels. Some languages emphasize brevity. Some support long, complex functions, while others encourage you to break up functionality into small pieces. Style and usage matter; sometimes programmers recommend Strunk & White’s The Elements of Style—that’s right, the one about the English language. Its focus on efficient usage resonates with programmers. The idiom of a language is part of its communal identity.
Python is not the glue for everything, though. It’s hard to connect to Java but fits C hand to glove. There’s a version of Python designed to run inside of Java and use Java code. That’s called Jython. If you want a version that works with Microsoft’s .NET, you can go with IronPython.
But there’s another way to interpret all this activity around Python: People love it and want it to work everywhere and do everything. They’ve spent tens of thousands of hours making that possible and then given the fruit of their labor away. That’s a powerful indicator. A huge amount of effort has gone into making Python practical as well as pleasurable to use. There are lots of conferences, frequent code updates, and vibrant mailing lists. You pick a language not just on its technical merits, or its speediness, or the job opportunities it may present, but also on its culture.
Python people, generally, are pretty cool.
- More Here
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