SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.
On August 8, 1900 German mathematician David Hilbert gave a speech at the Paris conference of the International Congress of Mathematicians, at the Sorbonne, where he presented 10 mathematical Problems (out of a list of 23) all unsolved at the time, and several of them were very influential for 20th century mathematics.
The Swiss Bernoulli family is well known for their many offsprings who gained prominent merits in mathematics and physics in the 18th century. Jakob Bernoulli, born in 1654, is best known for his work Ars Conjectandi (The Art of Conjecture). In this work, published 8 years after his death in 1713 by his nephew Nicholas, Jakob Bernoulli described the known results in probability theory and in enumeration, including the application of probability theory to games of chance.
Here you can curve fit and surface fit your 2D and 3D data online with
a rich set of error histograms, error plots, curve plots, surface plots,
contour plots, VRML, auto-generated source code, and PDF file output.
If you're looking for quality curve fitting and surface fitting, this is the
site for you! Source code is available at the Google Code Repository.
To begin, select an equation family from the drop-down menus above or try
the "Function Finders" to help determine the best curve fit for your data.