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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.
The first release of the new OS — Mac OS X Server 1.0 — used a modified version of the Mac OS GUI, but all client versions starting with Mac OS X Developer Preview 3 used a new theme known as Aqua. Aqua was a substantial departure from the Mac OS 9 interface, which had evolved with little change from that of the original Macintosh operating ...
The scikit-image project started as scikits.image, by Stéfan van der Walt. Its name stems from the notion that it is a "SciKit" (SciPy Toolkit), a separately-developed and distributed third-party extension to SciPy. [4] The original codebase was later extensively rewritten by other developers.
Power Mac G4 (Digital Audio) Power Mac: August 13, 2002 February 22, 2001 iMac G3 (Winter 2001) iMac: July 18, 2001 May 1, 2001 iBook G3 "Snow" 12" (Mid 2001) iBook: October 16, 2001 July 18, 2001 iMac G3 (Summer 2001) iMac: March 18, 2003 Power Mac G4 Quicksilver: Power Mac: August 13, 2002 September 8, 2001 Macintosh Server G4 Quicksilver ...
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
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.
For a list of current programs, see List of Mac software. Third-party databases include VersionTracker , MacUpdate and iUseThis . Since a list like this might grow too big and become unmanageable, this list is confined to those programs for which a Wikipedia article exists.