JLinX – Blog

Scott Stevenson has posted the video of his Introduction to Cocoa talk (entitled “Best of Both Worlds”) aimed at those who want to learn a bit about Apple’s preferred API for building OS X applications. The talk runs to over 90 minutes and includes “an introduction to Xcode, Interface Builder, Objective-C, Mac UI standards and more.”

use option “-G Xcode”

Echte Programmierer erstellen schnell funktionsfähigen Code, verwenden knappe Bezeichnungen, verschwenden keine Zeit auf Aussehen und unnötig lange Kommentare. Häufig entsteht durch viele Änderungen und Erweiterungen dann so genannter “Spaghetti-Code”, der für nicht Eingeweihte nur mühsam und mit viel Aufwand zu verstehen ist. Dies gilt bei vielen Programmierern als besonders männlich. Echte Männer haben es halt nicht nötig, auf die Ästhetik ihres Outputs zu achten. Sie sind effizient und pragmatisch und lassen Ecken und Kanten stehen…

Quelle: www.zeit.de

1. Layer: Messenger

• handles client requests
• handles tasks on message level
• supports policies on message level

2. Layer: Broker

• its main task is controlling and validation of incoming messages
• after passing the broker the client request is valid

3. Layer Dispatcher

•  the dispatcher calls the service actual implementation 
• handles timeouts, retry-methods and asychronous requests

Hanselmania, Polymorphic Podcast, and .NET Rocks!

• Add ‘deb http://apt.wxwidgets.org feisty-wx main‘ to your APT repositories
• Run ‘sudo apt-get update’
• Get codeblocks_8.02-0ubuntu1.deb.tar.gz from www.codeblocks.org and unpack
• Install all Code::Blocks debian packages by runnig ‘sudo dpkg -i *deb’

1. Get CUDA Toolkit version 1.1, CUDA SDK version 1.1 for Linux and NVIDIA Driver for Linux with CUDA Support from NVIDIAs CUDA Zone.
2. Install the Toolkit and the SDK as root by executing the *.run files.
3. Add the location of the CUDA binaries (nvcc) to your PATH environment variable and the location of the CUDA libraries to your LD_LIBRARY_PATH environment variable:
   export PATH=$PATH:<CUDA_INSTALL_PATH>/bin
   export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<CUDA_INSTALL_PATH>/lib
4. If you have no NVIDIA card installed you need to extract the libcuda.so library from the Driver bundle by executing the driver’s .run file with the option
   ‘–extract-only’
   Copy the /lib/*.so files of the driver packages to the other CUDA libraries (/usr/local/cuda/lib).
   Add a symbolic link:
   ‘sudo ln -s libcuda.so.169.09 libcuda.so’
   (In my case the lib is named “libcuda.so.169.09”. It my be different on your system.)
5. Go to the SDK directory and run make with emulation option enabled:
   ‘make emu=1’ or ‘make emu=1 dbg=1′ for debug mode
6. Run the examples in ./bin/linux/emurelease …  

HAVE FUN! (-;

• Macintosh Serial input and output

• harmless Cocoa (Cocoa classes for serial port)

• Add a serial port to your Mac

Cocoa Literature List

• Objective-C 2.0 Overview
• A Quick Objective-C 2.0 Tutorial
• A Quick Objective-C 2.0 Tutorial: Part II