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Matplotlib is used in scientific research as a tool for data visualization Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating graphic or visual representations of [2] quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. For example, the event horizon telescope collaboration used matplotlib to produce visualizations during the effort to create the first image of a black hole

[10] matplotlib also underpins the plotting functionality of many scientific python libraries (for instance, pandas uses matplotlib as its default backend for. Guido van rossum began working on python in. Pythonanywhere — an online ide and web hosting service

Spyder — ide for scientific programming

Vim — with lang#python layer enabled Pycharm is an integrated development environment (ide) used for programming in python It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with django Pycharm is developed by the czech company jetbrains and built on their intellij platform

Visual studio code (commonly referred to as vs code) [10] is an integrated development environment developed by microsoft for windows, linux, macos and web browsers [11][12] features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with git. Vpython is an open source application that combines the python programming language with a 3d graphics module called visual This library application allows users to create 3d objects, such as spheres and cones, and then display these objects in an app window

This aids creation of simple visualizations, allowing programmers to focus more on the computational aspect of their programs

[4][5] created by pierre raybaut [6] and released in 2009 [1][2] under the mit license, [7] since 2012 spyder has been maintained and. Its design philosophy emphasizes code readability with the use of significant indentation

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