The Scientific Computing Environment at Pacific

The Scientific Computing Environment at Pacific Pacific has built a robust and diverse computing environment for scientific computing in recent years. This, and subsequent pages are meant to introduce and outline what facilities exist, and offer some pointers to getting started using these tools. Scientific computing generally involves the following applications areas:

Editors for writing text and programs
Compilers/Programming Environments
Scientific Visualization for analyzing data graphically
Symbolic and Numerical Mathematics for solving equations and doing algebra
Statistical Analysis for analyzing data statistically
Scientific Publishing using mathematical typsetting tools

The specific tools at Pacific for these applications are listed below:

Editors Programming Visualization Mathematics Statisics Publishing

Emacs
Vi(m)
Jedit
Gedit
Arachniphilia
Compiled Programming Languages:
Java
C / C++
Fortran
SunStudio IDE

Scripted Languages:
Python
Perl
Shells

Mathematical/Graphical Environments
which allow programming:
MatLab
Maple
IDL
Gnuplot
IDL
Maple
MatLab
OpenGL MatLab
Maple
Mathematica
Octave
SPSS
LaTeX

Editors	Programming	Visualization	Mathematics	Statisics	Publishing
Emacs Vi(m) Jedit Gedit Arachniphilia	Compiled Programming Languages: Java C / C++ Fortran SunStudio IDE Scripted Languages: Python Perl Shells Mathematical/Graphical Environments which allow programming: MatLab Maple IDL	Gnuplot IDL Maple MatLab OpenGL	MatLab Maple Mathematica Octave	SPSS	LaTeX