SQLExecute (DatabaseLink Tutorial)

SQLExecute allows SQL statements to be executed. Statements can be used to select data, create tables, insert data, update data, remove data, and drop tables. The statement ...

The Database Explorer (DatabaseLink Tutorial)

The Database Explorer is a graphical interface to DatabaseLink. It provides a number of useful functions, such as managing connections and working with the data in a ...

Introduction (NETLink Tutorial)

Welcome to .NET/Link, a product that integrates Mathematica and Microsoft's .NET platform. .NET/Link lets you call .NET from Mathematica in a completely transparent way, and ...

Google Web Services Example (WebServices Tutorial)

Google.com is a well-known web search engine. Google has made a web service available that allows developers to interface with their search engine within their own ...

Parallel Computation (Compiled Function Tools Tutorial)

The Mathematica compiler can run computations in parallel. It does this by threading a compiled function over lists of data in parallel. A first step is to create a compiled ...

Summary of New Features in 7.0 (Mathematica Guide)

The introduction of Mathematica 6 in 2007 represented a revolutionary redefinition of Mathematica. Arriving only 18 months after Mathematica 6, Mathematica 7 represents ...

Introduction (CUDALink Tutorial)

CUDALink allows Mathematica to use the CUDA parallel computing architecture on Graphical Processing Units (GPUs). It contains functions that use CUDA-enabled GPUs to boost ...

Table Structure (DatabaseLink Tutorial)

This section discusses commands that get information about database tables. If you find that the examples in this section do not work as shown, you may need to install or ...

CellularAutomaton (Built-in Mathematica Symbol)

CellularAutomaton[rule, init, t] generates a list representing the evolution of the cellular automaton with the specified rule from initial condition init for t steps. ...

SmoothKernelDistribution (Built-in Mathematica Symbol)

SmoothKernelDistribution[{x_1, x_2, ...}] represents a smooth kernel distribution based on the data values x_i.SmoothKernelDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...