Ruby: Productive Programming Language
For raw performance, C/C++ is still the best choice. For large multiplatform team efforts you may be best off with Java. But when it comes to delivering speed and proof-of-concepts, you should think seriously about using Python or Ruby. Perl I would reserve for system administration tasks.
Ruby has some distinct advantages over Python. It is a far cleaner OOP language with excellent features, and it supports Perl's regex type terse notation. It also scores high in enabling one to write short concise and maintainable code. In fact I do most of my development in Ruby now, touching Java and C++ only when I have to.
Ruby may not be a new paradigm, nor represent a new generation, but it combines the best of many programming languages and takes productivity to a new level. I am not original in stating that Ruby may supersede both Perl and Python and will make many a Java programmer envious.
Programming Ruby by David Thomas and Andrew Hunt, Addison-Wesley, October 2000, ISBN: 0201710897. Also on-line at www.rubycentral.com/book.
Ruby in a Nutshell by Yukihiro Matsumoto, November 2001, ISBN 0-59600-214-9. See www.oreilly.com/catalog/ruby for more information.
The Ruby Language web site is www.ruby-lang.org/en/.
The Ruby Application Archive contains many libraries and bindings and can be found at www.ruby-lang.org/en/raa.html/.
The pragmatic programmers are at www.pragmaticprogrammer.com/ruby/.
The C++ Programming Language, Bjarne Stroustrup, Addison-Wesley; ISBN: 0201700735
Pjotr Prins is senior developer for Causeway Technologies and has a real passion for development. He is convinced of the lower cost of maintenance of Linux systems (deploying some 30 ROCK Linux servers), Editor-in-Chief for the EUP E-zine and contributor to ROCK Linux and other open-source projects.
|Updates from LinuxCon and ContainerCon, Toronto, August 2016||Aug 23, 2016|
|NVMe over Fabrics Support Coming to the Linux 4.8 Kernel||Aug 22, 2016|
|What I Wish I’d Known When I Was an Embedded Linux Newbie||Aug 18, 2016|
|Pandas||Aug 17, 2016|
|Juniper Systems' Geode||Aug 16, 2016|
|Analyzing Data||Aug 15, 2016|
- Updates from LinuxCon and ContainerCon, Toronto, August 2016
- NVMe over Fabrics Support Coming to the Linux 4.8 Kernel
- What I Wish I’d Known When I Was an Embedded Linux Newbie
- New Version of GParted
- All about printf
- Analyzing Data
- Tor 0.2.8.6 Is Released
- Blender for Visual Effects
- Better Cloud Storage with ownCloud 9.1
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide