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Developing an Import Converter   (Mathematica Tutorial)
Mathematica provides functions that allow users to write their own file format converters and integrate them with the Mathematica Import and Export framework. You can ...
Getting Started   (Parallel Package Tutorial)
Mathematica comes with all the tools and configuration so you can immediately carry out parallel computing. Note that, to take advantage of parallel computing it is often ...
BellY   (Built-in Mathematica Symbol)
BellY[n, k, {x_1, ..., x n - k + 1}] gives the partial Bell polynomial Y n, k (x_1, ..., x n - k + 1). BellY[n, k, m] gives the generalized partial Bell polynomial of a ...
String Patterns   (Mathematica Tutorial)
An important feature of string manipulation functions like StringReplace is that they handle not only literal strings but also patterns for collections of strings. This ...
ND   (Numerical Calculus Package Symbol)
ND[expr, x, x_0] gives a numerical approximation to the derivative of expr with respect to x at the point x_0.ND[expr, {x, n}, x_0] gives a numerical approximation to the ...
DiscreteWaveletData   (Built-in Mathematica Symbol)
DiscreteWaveletData[{wind_1 -> coef_1, ...}, wave, wtrans] yields a discrete wavelet data object with wavelet coefficients coef_i corresponding to wavelet index wind_i, ...
PieChart   (Built-in Mathematica Symbol)
PieChart[{y_1, y_2, ...}] makes a pie chart with sector angle proportional to y_1, y_2, ....PieChart[{..., w_i[y_i, ...], ..., w_j[y_j, ...], ...}] makes a pie chart with ...
The connectivity and data-processing capabilities of Mathematica make it ideal for importing and analyzing data displayed on a website. In most cases, this is relatively ...
StreamPlot   (Built-in Mathematica Symbol)
StreamPlot[{v_x, v_y}, {x, x_min, x_max}, {y, y_min, y_max}] generates a stream plot of the vector field {v_x, v_y} as a function of x and y. StreamPlot[{{v_x, v_y}, {w_x, ...
DiscreteUniformDistribution   (Built-in Mathematica Symbol)
DiscreteUniformDistribution[{i_min, i_max}] represents a discrete uniform distribution over the integers from i_min to i_max.DiscreteUniformDistribution[{{i_min, i_max}, ...
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