The ThoughtWorks Anthology, Volume 2: More Essays on by ThoughtWorks Inc.

By ThoughtWorks Inc.

When you hit a coarse spot in software program improvement, it is great to understand that somebody has been there earlier than. The area specialists at ThoughtWorks proportion what they have discovered during this anthology, bringing jointly the simplest field-tested insights in IT and software program improvement. you are going to take advantage of their event in parts from checking out to info visualization, from item orientated to practical programming, from incremental improvement to compelling innovation in supply. you will discover your self pertaining to this selection of solved difficulties everytime you want an expert's insight.

This new selection of essays from the specialists at ThoughtWorks bargains functional perception and recommendation on more than a few demanding situations confronted day-by-day via software program builders and IT pros. It covers a vast spectrum of software program improvement themes, from tuning agile methodologies to hard-core language geekery. This anthology captures the wide-ranging mind and variety of ThoughtWorks, mirrored via useful and well timed topics.

In it, you will find from-the-trenches recommendation on issues resembling non-stop integration, trying out, and enhancing the software program supply procedure. See how humans use sensible programming ideas in object-oriented languages, glossy Java internet purposes, and care for present difficulties in JavaScript improvement. test an summary of the main attention-grabbing programming languages at the present time and the present nation of data visualization. And it is all field-tested perception, since it comes from the sensible viewpoint of ThoughtWorks experts.

every one essay specializes in extending your talents and enlarging your toolkit. and every is drawn from useful event received within the field.

you will make the most of this ebook while you're concerned about constructing, deploying, or checking out software program, both as a supervisor or developer.

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The each() method allows you to iterate over a collection of things. Here you can see how we use the implicit it variable instead of defining an argument name. The second example takes two arguments and sorts a list based on what the closure returns. This is very similar to a Java Comparator. fan Hello Ola Hello Stella Number 42 Number 12 Number 56456 Number 23476 [Aardvark, Blarg, Quux, Fox, Bar] Although Fantom uses strong static typing in most cases, Fantom also has a lightweight way of getting around it, by supporting dynamic invocation.

If you have Factor on your command line, the result of running this file is just as expected. factor hello Ola hello Stella The way you think about Factor code is fundamentally different, because you usually need to keep track of what’s currently on the stack. You also have to make sure everything bottoms out correctly. Factor will not accept a program where the end result is not what it expects. That’s one of the main reasons words will define what their input and output on the stack are. writer IN: user 3 [ "Hello" print ] times { "foo" "bar" "baz" } [ [XML

  • <->
  • XML] ] map [XML

      <->

    XML] pprint-xml nl nl : separate-lines ( seq -- seq2 ) [ ":" split first ] map ; : remove-comments ( seq -- seq2 ) [ "#" head?

    So in Erlang, the way you model behavior and changing state is with actors. If you have worked with threads or processes in other languages, it’s important to remember that Erlang processes are quite different: they are very small and fast to create, and you can distribute them to different physical machines if you want. This makes it possible to write your program the same way, whether it should run on one machine or on a hundred machines. Tightly entwined with Erlang is the Open Telecom Platform (OTP), which is a set of libraries that can be used to create very robust servers.

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