MATLAB® and NumPy/SciPy have a lot in common. But there are many differences. NumPy and SciPy were created to do numerical and scientific computing in the most natural way with Python, not to be MATLAB® clones. This page is intended to be a place to collect wisdom about the differences, mostly for the purpose of helping proficient MATLAB® users become proficient NumPy and SciPy users. NumPyProConPage is another page for curious people who are thinking of adopting Python with NumPy and SciPy instead of MATLAB® and want to see a list of pros and cons.
Jack W. Crenshaw wrote the Let's Build a Compiler article series from 1988 - 1995. This document is a formatted version of that excellent non-technical introduction to compiler construction. These web pages were created in 2005, and port Mr. Crenshaw's original Pascal code for the 68000 under SK*OS to the Forth language on a 80x86 CPU, under Windows XP. The text files were downloaded from http://compilers.iecc.com/crenshaw/. They are highly recommended. In this transcript I have assumed a 32-bit, byte-addressing Forth, with 8-bit characters. Division is symmetric, not floored, and two's complement is assumed throughout. iForth works splendidly for it, but other Forths can do it too.
A Programming Style That Automatically Detects Bugs in C Code by Jerry Jongerius / January 1995. This book describes an alternate class methodology that provides complete data hiding and fault-tolerant run-time type checking of objects in C programs. Wi
A. Heydarnoori, K. Czarnecki, and T. Bartolomei. ECOOP 2009 – Object-Oriented Programming, volume 5653 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2009)