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There's a ton of books on Lego Mindstorms programming out there - not least from the always-excellent No Starch Press.
Which book would you recommend for direct use by, or for teaching, children - primarily the 9-13 age range, but possibly a bit younger and a bit older too.
I'm assuming that NXT 2.0 is the language to learn.
I would suggest letting your children learn the language that is issued with the robotics kit at first. They will learn all the basics required (such as decision making, looping, reading data and outputting data and so on...). There is a book available on programming in NXT-G.
Once the feel comfortable with the language and are starting to feel limited in what they want to do I suggest they move onto something a little more challenging such as text based programming.
I would refer them at first to NXC (which is procedural programming). John C Hansen has written to books on programming with NXC.
Once they "mastered" NXC, I would suggest they have a look at leJOS, which is programming the NXT in java. They can learn all about object orientated programming and the benefits it provides. There is also a book on programming Minstorms in java.
I hope this helps. (This is not a have-to-do way to learn how to program the NXT, but I found it very comforting. :) ).
PS: Remember, to learn something there are more resources than books, eg online tutorials and so on.
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I have been looking around for powerful raytracing interfaces and discovered references to OpenRT but can't seem to find it anywhere. Does it even still exist?
If it is gone, what is the most used library for raytracing that is powerful enough for realtime rendering.
My answer below is all I have managed to find.
Update
I have continued my search and only seem to find OpenRL as it supports most of what I need. However I may end up writing my own wrapper or engine that suits my needs as there seems to be no mature solution. Thanks for the suggestions.
PowerVR Wizard GPUs by Imagination Technologies have been announced recently.
"Wizard is essentially an extension of Imagination’s existing PowerVR
Series6XT Rogue designs, taking the base hardware and adding the
additional blocks necessary to do ray tracing"
Possible, and seems to be the only, solution I have found is OpenRL.
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I am quite interested in image processing. What is the best way of learning image processing -- whether to begin with MATLAB or OpenCV? I am familiar with C and C++.
Any books/videos/blogs to recommend?
MATLAB is easier to start with but it has limited library and slower implementation.
OpenCV, being a C/C++ library, is the most popular. You can access great tutorials and references for it. It is a well documented and open-source library. Also, there are many discussion forums, Q&A web-sites, and blogs (http://opencvpython.blogspot.com/ , http://opencv-code.com/) about it.
SimpleCV, being a python library, is a wrapper library on OpenCV. Hard to comment on that -since I didn't use it- but it might not cover all the broad methods of OpenCV. On the other hand, it is easier to play with, however not well-known. You may not find answers to your questions on the web.
Here is a guide-book for OpenCV.
Here is a guide-book for SimpleCV.
In any case, I suggest you not to memorize or copy. Do not ask for codes, ask for ideas. Read the books and learn about the methods you are going to use -like what convolution kernel is, what the alpha channel is, etc.- Thats what improves you and makes you capable of dealing with broader range of vision problems.
The only problem with MATLAB, for a beginner, is that it is really expensive. Some universities buy it without the Image Processing Toolbox, in which case it is not so useful. Octave is well supported by the open source community, that is another alternative
"Processing" is a language that is easy to learn and powerful. You might want to take a look at it.
OpenCV is a bit hard to learn at the start, but very powerful. There are enough examples available in OpenCV documentation pages, so I recommend OPenCV over the other two.
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MS Word is nothing short of irritating to use for any sort of software development work (notes, documentation, etc.), which is likely why many people use other tools (notepad++, etc.)
Asides from turning off spell-check & grammar check functionality for a word document, our only other option is to create a new style for the document, and disable proofing for that style, as documented here: Systems documentation and MS Word
Has anyone out there come accross any particularily good custom dictionaries which covers words common to engineering, software development, etc.?
This would certainly be helpful in aleviating the frustration level a bit. The dictionary could always be imported into other word processing tools as well.
Cheers and TIA - Ray
Change the language to something obscure like Farci or Klingon.
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I'm studying operating systems with this book and following some exercise guides from the university: scheduling, synchronization, memory, file system, I/O...
It's an interesting topic, but I've to take the exam in a month so I've a short amount of time to deeply learn it. I tried reading a linux scheduler for example, but I couldn't understand it very well because of my limited C knowledge.
I'm looking for comprehensive material(interactive at best), I've found this about semaphores(synchronization) that seems really nice and I'm about to start looking at it.
My suggestion is, in addition to search for some interactive learning solutions, to read some chapters of Modern Operating Systems book by A. S. Tanenbaum
I studied it for Operating Systems and Architecture course (# university - Computer Science, 2nd year) and it's very good as the author makes concepts simple to understand!
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is there any well written perl open source out there (not using any kinda of framework) that i could use as sample for learning and good pratice of the perl...
I've searched around and found many things for PHP, but nothing in perl that uses no framework.
Thanks in advance.
Have you tried browsing CPAN? You can find code there doing pretty much anything, and many distributions post links to their github repositories, so you can follow along in the development process.
CPAN Ratings has reviews and rankings of a large number of releases, which helps you differentiate between good releases and bad ones, but being able to make this determination for yourself would be best, which you get through learning and experience.