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The creator of a malicious gem may be able to compromise the user's system or server. [8] A number of methods have been developed to counter the security threat: Cryptographic signing of gems since RubyGems version 0.8.11. The gem cert and gem install commands are used for this purpose.
To avoid installing the large SciPy package just to get an array object, this new package was separated and called NumPy. Support for Python 3 was added in 2011 with NumPy version 1.5.0. [15] In 2011, PyPy started development on an implementation of the NumPy API for PyPy. [16] As of 2023, it is not yet fully compatible with NumPy. [17]
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] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.
GEM XM with "GEM Desktop 3.0" was an updated version of GEM/2 in 1986/1987 for DOS (including DOS Plus) which allowed task-switching and the ability to run up to ten GEM and DOS programs at once, swapping out to expanded memory (XM) through EMS/EEMS or to disk (including RAM disks, thereby also allowing the use of extended memory).
FreeGEM is the free software/open source version of GEM developed after Caldera Thin Clients released the GEM code under the terms of the GNU GPL-2.0-only free software license in April 1999. [2] Caldera Thin Clients owned the source code to GEM through Caldera 's purchase of the remaining Digital Research assets from Novell on 23 July 1996 ...
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 ...
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [3]) is a free and open-source Python library used for scientific computing and technical computing. [4]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.