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While the Mac OS was filled with APIs that shared memory to pass data, under Carbon all such access was re-implemented using accessor subroutines on opaque data types. This allowed Carbon to support true multitasking and memory protection, features Mac developers had been requesting for a decade. Other changes from the pre-existing API removed ...
At one time, it was a free download for Mac OS 9, Mac OS X 10.3, and Mac OS X 10.4. However, these may lack some features of 1.0 and may include promotion for the more advanced, commercial version of the software. A Windows version (offered for sale) was renamed NuCalc. The app has been ported from C++ to SwiftUI. [3]
Mac OS calculator: Proprietary: macOS: Double (64 bit) Yes Yes Yes GNOME Calculator: GPL-3.0-or-later: Linux, BSDs, macOS: Arbitrary decimal Yes Yes Yes KCalc: GPL-2.0-or-later: Linux, BSDs, macOS: Arbitrary decimal Yes Yes Yes Windows Calculator: MIT: Windows: ≥32 decimal Yes Yes Yes WRPN Calculator: Public domain: Windows, Linux, macOS ...
Grapher is a graphing calculator capable of creating both 2D graphs including classic (linear-linear), polar coordinates, linear-logarithmic, log-log, and polar log, as well as 3D graphs including standard system, cylindrical system, and spherical system. Grapher is a Cocoa application which takes advantage of Mac OS X APIs.
The Mac OS Calculator as it shipped in 1984, with System 1. The Calculator program has a long associated history with the beginning of the Macintosh platform, where a simple four-function calculator program was a standard desk accessory from the earliest Mac operating system versions.
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Maple is a symbolic and numeric computing environment as well as a multi-paradigm programming language.It covers several areas of technical computing, such as symbolic mathematics, numerical analysis, data processing, visualization, and others.
RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.