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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.
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Python was designed to be a highly readable language. [1] It has a relatively uncluttered visual layout and uses English keywords frequently where other languages use punctuation.
Assuming weak typing and not being concerned about name collision, this is represented by the code: temp = x x = y y = temp When the snippet is inserted, the programmer is prompted for the values of the two parameters. Assuming they are type foo and bar, which are the actual names of the variables they wish to swap, this will yield the code:
In 1981, Bernhard Flury and Hans Riedwyl suggested "asymmetrical" Chernoff faces; [3] since a face has vertical symmetry (around the y axis), the left side of the face is identical to the right and is basically wasted space – a point also made by Tufte. [4]
Rocket thruster built using a computational engineering model Simulation of an experimental engine. Computational Engineering is an emerging discipline that deals with the development and application of computational models for engineering, known as Computational Engineering Models [1] or CEM.
Waterfall plots are often used to show how two-dimensional phenomena change over time. [1] A three-dimensional spectral waterfall plot is a plot in which multiple curves of data, typically spectra, are displayed simultaneously. Typically the curves are staggered both across the screen and vertically, with "nearer" curves masking the ones behind.
Biopython development began in 1999 and it was first released in July 2000. [7] It was developed during a similar time frame and with analogous goals to other projects that added bioinformatics capabilities to their respective programming languages, including BioPerl, BioRuby and BioJava.