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Dynamic Visualization   (Mathematica Guide)
Building on Mathematica's integrated symbolic architecture, it becomes easy to introduce powerful dynamic behavior into any aspect of visualization. Single Mathematica ...
Operations on Strings   (Mathematica Tutorial)
Mathematica provides a variety of functions for manipulating strings. Most of these functions are based on viewing strings as a sequence of characters, and many of the ...
SplineKnots   (Built-in Mathematica Symbol)
SplineKnots is an option for B-spline functions and graphics primitives that specifies the positions of knots.
Manipulating Elements of Lists   (Mathematica Tutorial)
Many of the most powerful list manipulation operations in Mathematica treat whole lists as single objects. Sometimes, however, you need to pick out or set individual elements ...
Rules & Patterns   (Mathematica Guide)
At the core of Mathematica's symbolic programming paradigm is the concept of transformation rules for arbitrary symbolic patterns. Mathematica's pattern language conveniently ...
Sound   (Built-in Mathematica Symbol)
Sound[primitives] represents a sound. Sound[primitives, t] specifies that the sound should have duration t.Sound[primitives, {t_min, t_max}] specifies that the sound should ...
New in 7.0: Core Language   (Mathematica Guide)
Built on powerful and elegant principles, the core Mathematica language has emerged over the past 20 years as perhaps the world's richest and deepest programming language. ...
Creating Web Pages   (Mathematica Guide)
Mathematica supports industrial-strength automatic creation of full-featured web pages. Mathematica's unified symbolic architecture allows you to build up linked web page ...
GenBank   (Mathematica Import/Export Format)
MIME type: chemical/seq-na-genbank GenBank molecular biology format. Native format of the U.S. National Center for Biotechnology Information (NCBI) database. Standard format ...
Sum   (Built-in Mathematica Symbol)
Sum[f, {i, i_max}] evaluates the sum \[Sum]i = 1 i_max f. Sum[f, {i, i_min, i_max}] starts with i = i_min. Sum[f, {i, i_min, i_max, di}] uses steps d i. Sum[f, {i, {i_1, i_2, ...
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