Resources
Physics Data References
Space Groups:
- http://www-srs.caos.kun.nl/csecm/doc/index.html -- CSECM Space Group
- http://zebra.sci.ccny.cuny.edu/web/ -- Magnus, combinatorial group theory software project
Physical constants:
- http://www.astro.wisc.edu/~dolan/constants.html -- Physical Constants and Astronomical Data
Emacs
GNU Emacs is a self-documented editor for the advanced programmer. For more information, check the related pages:
- Emacs Site-Map -- a wiki-based site for Emacs
- GNU Emacs for Windows --
- On-line resources -- on-line resources for the GNU Emacs
LaTeX Tips
- General LaTeX tips and tricks: http://www.kronto.org/thesis/tips/index.html
- Best websites: CTAN: The Comprehensive TeX Archive Network and CTAN Search Page
- LaTeX distribution: In linux, texlive, tetex; in windows, miktex
- Editor: GNU Emacs with AUCTeX, or use Kile in Linux. In windows, try led
- Drawing program: xfig or Dia to generation eps or pdf figures
- Creating graphs: gnuplot or gri graphing language as an alternative
Python stuffs
Packages required:
- scipy: Scientific Tools for Python, http://www.scipy.org
- pyode: the open dynamics engine, http://pyode.sourceforge.net/
- PyVib2: analyzing vibrational motion and vibrational spectra, http://pyvib2.sourceforge.net/
Python tutorial:
tutorials and study materials:
- scipy module: http://wiki.aims.ac.za/mediawiki/index.php/Python:scipy_module
- http://wiki.python.org/moin/NumericAndScientific
- scipy tutorial: http://www.rexx.com/~dkuhlman/scipy_course_01.html
- Scipy Cookbook: http://www.scipy.org/Cookbook
- Fitting Data: http://www.scipy.org/Cookbook/FittingData
- Optimization: http://www.scipy.org/Cookbook/OptimizationDemo1
- Optimization with fit: http://www.scipy.org/Cookbook/OptimizationAndFitDemo1
- Interpolation: http://www.scipy.org/Cookbook/Interpolation
- Signal Smoothing: http://www.scipy.org/Cookbook/SignalSmooth
- RadialWaveFunction fit: http://www.scipy.org/Cookbook/RadialBasisFunctions
- optimization: http://www.scipy.org/doc/api_docs/scipy.optimize.html
- find zeros: scipy.optimize.zeros.brent[qh]
numerical integration and visualization:
- tutorial and sources: