Matplotlib is a comprehensive Python library for creating static, animated, and interactive visualizations. It supports publication quality plots, interactive figures that zoom, pan and update, customizable visual styles and layouts, and exporting to many file formats. It can be embedded in JupyterLab and graphical user interfaces, and third-party packages extend and build on its functionality.
Sigma.js is a WebGL-powered JavaScript library for interactive graph visualization, built on graphology. It provides GPU-accelerated rendering, built-in pan, zoom, hover and multi-touch interactions, and works with React, Angular, Vue or vanilla JavaScript. Layouts, metrics and community detection come via graphology's standard library.
HTML widgets are R packages that produce interactive web visualizations, working like R plots. A line or two of R code produces a D3 graphic or Leaflet map. Widgets run at the R console and can be embedded in R Markdown reports and Shiny web applications. The page lists widget examples including Leaflet, dygraphs, Plotly and Highcharter, and describes composing dashboards with flexdashboard and linking widgets with crosstalk. New widgets can be developed by bridging R and JavaScript.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
Data Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
The Journal of Data Science is an academic journal listing featured articles, news, and calls for contributions. Featured articles include items on causal inference, reinforcement learning, and AI for science, each with a DOI and online publication date. The page also lists special issue calls for contributions and most-read articles.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
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Sigma.js is a WebGL-powered JavaScript library for interactive graph visualization, built on graphology. It provides GPU-accelerated rendering, built-in pan, zoom, hover and multi-touch interactions, and works with React, Angular, Vue or vanilla JavaScript. Layouts, metrics and community detection come via graphology's standard library.
HTML widgets are R packages that produce interactive web visualizations, working like R plots. A line or two of R code produces a D3 graphic or Leaflet map. Widgets run at the R console and can be embedded in R Markdown reports and Shiny web applications. The page lists widget examples including Leaflet, dygraphs, Plotly and Highcharter, and describes composing dashboards with flexdashboard and linking widgets with crosstalk. New widgets can be developed by bridging R and JavaScript.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
Data Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
The Journal of Data Science is an academic journal listing featured articles, news, and calls for contributions. Featured articles include items on causal inference, reinforcement learning, and AI for science, each with a DOI and online publication date. The page also lists special issue calls for contributions and most-read articles.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
