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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Python and Matplotlib are cross-platform, and are therefore available for Windows, OS X, and the Unix-like operating systems like Linux and FreeBSD. Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available.
HCI and interaction design, since many of the principles in how to design interactive data visualisation have been developed cross-disciplinary with HCI. Visual journalism and data-driven journalism or data journalism : Visual journalism is concerned with all types of graphic facilitation of the telling of news stories, and data-driven and data ...
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 is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
A browser-based notebook interface with support for code, text, mathematical expressions, inline plots and other media. Support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into one's own projects. Tools for parallel computing. IPython is a NumFOCUS fiscally sponsored project. [3]
Statistical software package for exploratory data analysis, dynamic data visualization, statistical modeling, design of experiments, time series forecasting, quality improvement and Six Sigma. Statistical Lab: Yes 2005: May 2, 2011 / 3.81 Systat: Proprietary: No 1979: Statistics SymPy: BSD: Yes 2007: September 14, 2018 / 1.3 Linux, Mac OS X ...
Visual Studio Code was first announced on April 29, 2015 by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.