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NumPy
https://numpy.org/
WEBNumerical computing tools. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.
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NumPy: the absolute basics for beginners — NumPy v1.26 Manual
https://numpy.org/doc/stable/user/absolute_beginners.html
WEBNumPy can be used to perform a wide variety of mathematical operations on arrays. It adds powerful data structures to Python that guarantee efficient calculations with arrays and matrices and it supplies an enormous library of high-level mathematical functions that operate on these arrays and matrices.
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NumPy - Wikipedia
https://en.m.wikipedia.org/wiki/NumPy
WEBNumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
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Introduction to NumPy - W3Schools
https://www.w3schools.com/python/numpy/numpy_intro.asp
WEBNumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely. NumPy stands for Numerical Python.
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NumPy documentation — NumPy v1.26 Manual
https://numpy.org/doc/stable/
WEBVersion: 1.26. Download documentation : Historical versions of documentation. Useful links : Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List. NumPy is the fundamental package for scientific computing in Python.
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NumPy Tutorial: Your First Steps Into Data Science in Python
https://realpython.com/numpy-tutorial/
WEBNumPy is a Python library that provides a simple yet powerful data structure: the n-dimensional array. This is the foundation on which almost all the power of Python’s data science toolkit is built, and learning NumPy is the first …
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numpy · PyPI
https://pypi.org/project/numpy/
WEBFeb 5, 2024 · NumPy is the fundamental package for scientific computing with Python. Website: https://www.numpy.org; Documentation: https://numpy.org/doc; Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion; Source code: https://github.com/numpy/numpy; Contributing: https://www.numpy.org/devdocs/dev/index.html
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Python NumPy Tutorial: An Applied Introduction for Beginners
https://www.learndatasci.com/tutorials/applied-introduction-to-numpy-python-tutorial/
WEBNumpy is an open-source library for working efficiently with arrays. Developed in 2005 by Travis Oliphant, the name stands for Numerical Python. As a critical data science library in Python, many other libraries depend on it.
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NumPy – Real Python
https://realpython.com/tutorials/numpy/
WEBMaster NumPy so you can perform complex mathematical operations on large data sets. NumPy is an industry-standard Python library that supports large multidimensional arrays and matrices, and mathematical functions to operate on them.
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NumPy: Getting Started Tutorial • Python Land
https://python.land/data-science/numpy
WEBJun 23, 2023 · Learn Python properly through small, easy-to-digest lessons, progress tracking, quizzes to test your knowledge, and practice sessions. Each course will earn you a downloadable course certificate. Quickly learn the basics of Numpy with lots of example code. We'll cover how to install Numpy and how to work with ndarrays.
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