• Learning Ruby

    You don't have to know everything about a car to drive one, and you don't need to know everything about Ruby to start programming with it. Written for both experienced and new programmers alike, "Learning Ruby" is a just-get-in-and-drive book - a hands-on tutorial that offers lots of Ruby programs and lets you know how and why they work, just enough to get you rolling down the road. Interest in Ruby stems from the popularity of Rails, the web development framework that's attracting new devotees and refugees from Java and PHP. But there are plenty of other uses for this versatile language. The best way to learn is to just try the code! You'll find examples on nearly every page of this book that you can imitate and hack. Briefly, this book: outlines many of the most important features of Ruby; demonstrates how to use conditionals, and how to manipulate strings in Ruby; includes a section on regular expressions; describes how to use operators, basic math, functions from the Math module, rational numbers, etc; talks you through Ruby arrays, and demonstrates hashes in detail; explains how to process files with Ruby; discusses Ruby classes and modules (mixins) in detail, including a brief introduction to object-oriented programming (OOP). It also introduces processing XML, the Tk toolkit, RubyGems, reflection, RDoc, embedded Ruby, metaprogramming, exception handling, and other topics, and acquaints you with some of the essentials of Rails, and includes a short Rails tutorial. Each chapter concludes with a set of review questions, and appendices provide you with a glossary of terms related to Ruby programming, plus reference material from the book in one convenient location. If you want to take Ruby out for a drive, "Learning Ruby" holds the keys.

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    26
    1.58MB
    2014-06-01
    5
  • Expert_Python_Programming

    This book presents an interesting list of topics. It covers a range of Python features and how to use them in unexpected ways. It also covers a selection of interesting third-party libraries and tools. Along the way, agile programming with Python tools and libraries is covered. This includes test-driven development with Nose, document-driven development with doctest, source control with Mercurial, continuous integration with Buildbot, and project management with Trac. Finally, it covers more traditional topics such as profiling, optimization, and design patterns such as Alex Martelli's infamous Borg approach to Singletons.

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    72
    10.21MB
    2014-06-01
    0
  • 数据库的优化与调优:从理论到实践

    性能调优是一个系统工程:全面监控分析操作系统、I/O性能、内存、应用及数据库才能快速找到问题根源。

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    65
    1.48MB
    2014-06-01
    0
  • Puppet给运维带来的变革

    Puppet给运维带来的变革

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    72
    2.73MB
    2014-06-01
    10
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