Download Masterminds of Programming: Conversations with the Creators by Federico Biancuzzi, Chromatic PDF

By Federico Biancuzzi, Chromatic

Masterminds of Programming beneficial properties specific interviews with the creators of numerous historical and hugely influential programming languages. during this precise assortment, you are going to know about the procedures that resulted in particular layout judgements, together with the targets that they had in brain, the trade-offs that they had to make, and the way their stories have left an effect on programming at the present time. Masterminds of Programming contains person interviews with: Adin D. Falkoff: APL Thomas E. Kurtz: uncomplicated Charles H. Moore: FORTH Robin Milner: ML Donald D. Chamberlin: SQL Alfred Aho, Peter Weinberger, and Brian Kernighan: AWK Charles Geschke and John Warnock: PostScript Bjarne Stroustrup: C++ Bertrand Meyer: Eiffel Brad Cox and Tom Love: Objective-C Larry Wall: Perl Simon Peyton Jones, Paul Hudak, Philip Wadler, and John Hughes: Haskell Guido van Rossum: Python Luiz Henrique de Figueiredo and Roberto Ierusalimschy: Lua James Gosling: Java Grady Booch, Ivar Jacobson, and James Rumbaugh: UML Anders Hejlsberg: Delphi inventor and lead developer of C# if you are attracted to the folk whose imaginative and prescient and tough paintings assisted in shaping the pc undefined, you will find Masterminds of Programming interesting.

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Additional resources for Masterminds of Programming: Conversations with the Creators of Major Programming Languages (Theory in Practice (O'Reilly))

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Of course, there are also examples where Python did eventually get replaced by a faster language—for example, the earliest Google crawler/indexer was (largely) written in Python—but those are the exceptions, not the rule. How does the immediacy of Python affect the design process? Guido: This is often how I work, and, at least for me, in general it works out well! Sure, I write a lot of code that I throw away, but it’s much less code than I would have written in any other language, and writing code (without even running it) often helps me tremendously in understanding the details of the problem.

What they do different is when you have a call from one Python procedure to another procedure: they do that with manipulation of objects, where they just push a stack of stack frames and the same bit of C code remains in charge. The way it’s done in C Python is that, at that point, a C function is invoked which will then eventually invoke a new instance of the virtual machine. It’s not really the whole virtual machine, but the loop that interprets the byte code. There’s only one of those loops on the C stack in stackless.

Languages like C++ and Java probably give static typing a bad name because they require you to tell the compiler the same thing several times over. Languages like Haskell and ML, however, use type inferencing, which is quite different, and has some of the same benefits as dynamic typing, such as more concise expression of ideas in code. However the functional paradigm seems to be hard to use on its own—things like I/O or GUI interaction don’t fit well into that mold, and typically are solved with the help of a bridge to a more traditional language, like C, for example.

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