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Project Jupyter. Project Jupyter ( / ˈdʒuːpɪtər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages . It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger. Project Jupyter's name is a reference to the three core programming ...
Spyder 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. [ 4][ 5] It is ...
Mojo is a programming language in the Python family that is currently under development. [ 3][ 4][ 5] It is available both in browsers via Jupyter notebooks, [ 5][ 6] and locally on Linux and macOS. [ 7][ 8] Mojo aims to combine the usability of higher level programming languages, specifically Python, with the performance of lower level ...
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Name mangling. In compiler construction, name mangling (also called name decoration) is a technique used to solve various problems caused by the need to resolve unique names for programming entities in many modern programming languages . It provides means to encode added information in the name of a function, structure, class or another data ...
Nuitka. Nuitka (pronounced as / njuːtkʌ / [ 2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution. [ 3][ 4] Nuitka initially was designed to ...
Following is a list of code names that have been used to identify computer hardware and software products while in development. In some cases, the code name became the completed product's name, but most of these code names are no longer used once the associated products are released.
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.