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Special Edition Using Perl 5 for Web Programming

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Back in 1986, a UNIX programmer by the name of Larry Wall found himself working on a task that involved generating reports from a great many text files, with cross-references. Because he was a UNIX programmer, and because the problem involved manipulating the contents of text files, he started to use awk for the task. But it soon became clear that awk wasn't up to the job, and with no other obvious candidate for the job, he'd just have to write some code.

Now, here's the interesting bit: Larry could have written a utility to manage the particular job at hand and gotten on with his life. He could see, though, that it wouldn't be long before he'd have to write another special utility to handle something else that the standard tools couldn't quite hack. (He may have realized that most programmers are always writing special utilities to handle things that the standard tools can't quite hack.)

So rather than waste any more of his time, he invented a new language and wrote an interpreter for it. That statement may seem to be a paradox, but it isn't. Setting yourself up with the right tools is always an effort, but if you do it right, the effort pays off.

The new language emphasized system management and text handling. After a few revisions, it could handle regular expressions, signals, and network sockets, too. The language became known as Perl and quickly became popular with frustrated, lazy UNIX programmers-and with the rest of us.
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The Decade of Autoimmunity
The Decade of Autoimmunity

This book is a direct result of 10 years of the well-known "Autoimmunity Days" in Israel, which are increasingly becoming an international focal point for autoimmunity scientists. Top researchers provide coverage of the most important knowledge generated during the last decade. The volume can therefore be seen almost as a textbook...

Test-Driven JavaScript Development (Developer's Library)
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Combinatorial Algorithms for Computers and Calculators (Computer science and applied mathematics)
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Since the appearance in 1975 of this work, the field of combinatorial algorithms has continued its rapid evolution. We have substantially rewritten several of the chapters in order to take account of theoretical or algorithmic improvements, and to clarify the presentation.

The result has been that a number of speedups,
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Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
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The definitive guide on the roles and responsibilities of the business analyst

Business Analysis offers a complete description of the process of business analysis in solving business problems. Filled with tips, tricks, techniques, and guerilla tactics to help execute the process in the face of sometimes overwhelming...

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