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IPython continues to exist as a Python shell and a kernel for Jupyter, while the notebook and other language-agnostic parts of IPython moved under the Jupyter name. [ 4 ] [ 5 ] Jupyter supports execution environments (called "kernels") in several dozen languages, including Julia, R, Haskell , Ruby , and Python (via the IPython kernel).
Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...
Literate Programming by Donald Knuth is the seminal book on literate programming.. Literate programming is a programming paradigm introduced in 1984 by Donald Knuth in which a computer program is given as an explanation of how it works in a natural language, such as English, interspersed (embedded) with snippets of macros and traditional source code, from which compilable source code can be ...
At the end, the form of the kernel is examined, and if it matches a known distribution, the normalization factor can be reinstated. Otherwise, it may be unnecessary (for example, if the distribution only needs to be sampled from). For many distributions, the kernel can be written in closed form, but not the normalization constant.
There is a kernel for Project Jupyter, a flexible, notebook-style GUI written in Python. [5] GMaxima is a Maxima interface using GTK+. [6] Cantor, using Qt, can interface with Maxima (along with SageMath, R, and KAlgebra) [7] The GNU TeXmacs and LyX mathematical editor programs can be used to provide an interactive GUI for Maxima, as can SageMath.
kernel.org on the World Wide Web is the main distribution point of source code for the Linux kernel, which is the base of the Linux operating system.. The website and related infrastructure, which is operated by the Linux Kernel Organization, [1] host the repositories that make all versions of the kernel's source code available to all users.
The most striking difference between kernel density estimates and histograms is that the former are easier to interpret since they do not contain artifices induced by a binning grid. The coloured contours correspond to the smallest region which contains the respective probability mass: red = 25%, orange + red = 50%, yellow + orange + red = 75% ...
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.