mathematic 28
matplotlib: python plotting — Matplotlib v1.1.0 documentation
19 days ago by shoul
matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six graphical user interface toolkits.
Mathematic
Python
Grafic
19 days ago by shoul
I'm Stephen Wolfram (Mathematica, NKS, Wolfram|Alpha, ...), Ask Me Anything >> Reddit
11 weeks ago by guardiantech
Fascinating and absorbing. Pretty much the first question: why aren't old versions of Mathematica made open source? His answer is smart.
wolfram
mathematic
reddit
11 weeks ago by guardiantech
Grundstudium.info - Informatik
february 2012 by shoul
… handelt vor allem von einigen Teilbereichen des Informatikstudiums.
Jedoch fließen auch Bereiche in diese Webseite ein, die nicht zum Grundstudium, sondern zum Haupstudium gehören, wie Animation und Neuronale Netze. Der Bereich Latex gehört gar nicht zum Informatikstudium, sondern ist allgemeiner Natur.
Mathematic
Computer_sienc
Jedoch fließen auch Bereiche in diese Webseite ein, die nicht zum Grundstudium, sondern zum Haupstudium gehören, wie Animation und Neuronale Netze. Der Bereich Latex gehört gar nicht zum Informatikstudium, sondern ist allgemeiner Natur.
february 2012 by shoul
SciPy - Scientific Tools for Python
january 2012 by Boinside
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
math
programming
python
software
development
mathematic
science
engineering
library
january 2012 by Boinside
PH Heidelberg/Arithmetik – ZUM-Wiki
january 2012 by shoul
Einführung in die Arithmetik
Mathematic
Grundlagen
january 2012 by shoul
Benoît Mandelbrot change de dimension
october 2010 by tlalinne
mandelbrot passed away at 85.
mathematic
fractal
mandelbrot
french
article
october 2010 by tlalinne
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