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Travis Oliphant - Wikipedia Travis Oliphant is an American data scientist, software developer, and entrepreneur known for his contributions to the Python scientific computing ecosystem He is the primary creator of Numpy, a foundational package for numerical computation in Python, and a founding contributor to SciPy, which together form the bedrock on which modern AI and
Matplotlib - Wikipedia 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 There is also a procedural "pylab" interface based on a state machine (like OpenGL
List of programming languages for artificial intelligence Python is a high-level, general-purpose programming language that is popular in artificial intelligence [1] It has a simple, flexible and easily readable syntax [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX The library NumPy can be used for manipulating arrays, SciPy for scientific and mathematical
Scientific programming language - Wikipedia In the broad sense, a scientific programming language is one that is applied to numerical modeling, simulation, data analysis, and visualization Languages such as Python, through libraries like NumPy, SciPy, and Matplotlib, have become dominant in fields ranging from machine learning to high-performance computing [3] Conversely, the strict sense emphasizes languages that provide built‐in
Array (data type) - Wikipedia They are a core facility in newer languages, such as Julia and recent versions of Fortran These capabilities are also provided via standard extension libraries for other general purpose programming languages (such as the widely used NumPy library for Python)
scikit-learn - Wikipedia scikit-learn is largely written in Python, and uses NumPy extensively for high-performance linear algebra and array operations Furthermore, some core algorithms are written in Cython to improve performance
Numba - Wikipedia Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes Numba was started by Travis Oliphant in 2012 and has since been under active development with frequent releases The project is