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Tag cloud of a mailing list [1] A tag cloud with terms related to Web 2.0. A tag cloud (also known as a word cloud or weighted list in visual design) is a visual representation of text data which is often used to depict keyword metadata on websites, or to visualize free form text.
Python-based NetMiner Script was introduced; Encryption module for NMF format was added; Diffusion, Mining modules was added (Version 4.1.0.b.130318) Two mode analysis modules and Mining(Classification, Regression, Anomaly Detection, Frequent Subgraph etc.) was added (Version: 4.2.0)
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
Importing the antigravity module opens a web browser to xkcd comic 353 that portrays a humorous fictional use for such a module, intended to demonstrate the ease with which Python modules enable additional functionality. [36] In Python 3, this module also contains an implementation of the "geohash" algorithm, a reference to xkcd comic 426. [37]
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.
Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based vocabularies; Meson build system, a software tool for automating the building (compiling) of software; mod_python, an Apache module allowing direct integration of Python scripts with the Apache web server
Gensim is implemented in Python and Cython for performance. Gensim is designed to handle large text collections using data streaming and incremental online algorithms, which differentiates it from most other machine learning software packages that target only in-memory processing.