Search Results for "numeric"

...Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays from Python. Helpful wrappers: interpret Python sequences, dictionaries, arrays, dataframes and IO streams as their Julia counterparts, and vice versa.

This package provides support for one-dimensional numerical integration in Julia using adaptive Gauss-Kronrod quadrature. The code was originally part of Base Julia. It supports the integration of arbitrary numeric types, including arbitrary-precision (BigFloat), and even the integration of arbitrary normed vector spaces. The package provides three basic functions: quadgk, gauss, and kronrod. quadgk performs the integration, gauss computes Gaussian quadrature points and weights for integrating over the interval [a, b], and kronrod computes Kronrod points, weights, and embedded Gaussian quadrature weights for integrating over [-1, 1].

TensorBoardLogger.jl is a native library for logging arbitrary data to Tensorboard, extending Julia's standard Logging framework. It can also be used to deserialize TensoBoard's .proto files. The fundamental type defined in this package is a TBLogger, which behaves like other standard loggers in Julia such as ConsoleLogger or TextLogger. You can create one by passing it the path to the folder where you want to store the data. You can also pass an optional second argument to specify the...

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. ...

Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook.

...It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. SymPy.Sym inputs. If gradients are required, e.g. the ForwardDiff.Dual type, which implements forward-mode automatic differentiation, can be used.

...It shows a graphical representation of a logic scheme with wires connecting logic modules which have specific parameters. This software has been developped for NIM/TTL logic, thus his simplicity allows also the representation of other logic systems, numeric systems or analogic systems i.e. the pedal board of an electric guitar. The Secret of NIM is divided in two parts. The first one is the main part of the software. It edit different project, connect modules with wires and edit the parameters of those modules. The other part of the sofware is an utility. It edits the modules which will be used for the projects or create them if they aren't in the database yet. ...

Frtplot is a program for plotting your numeric data (such as output from simulations, or sensors) in real time. It can read data of a configured (text) format from the standard input, and display all changes immediately.

Franklin Math is an open source Java symbolic computer algebra system (CAS), with similarities to commercial math packages such as MATLAB or Mathematica. It allows numeric and symbolic calculations, with built-in functions including plotting commands.

RDV is a visualization environment for scientific and engineering data. Built on top of the RBNB dynamic data server, it supports local and remote data sources and can visualize numeric, video, image, and audio data in a number of different ways.

Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.

Matlab/Octave to Python conversion facility. The tool will take existing scripts and convert them to Python. Also includes Python bindings to Octave and a small runtime support library. Built on top of Numeric Python extensions.

MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.