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1. NumPy
Link: https://numpy.org/
Description: WebNumerical computing tools. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.
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2. Introduction to NumPy - W3Schools
Link: https://www.w3schools.com/python/numpy/numpy_intro.asp
Description: 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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3. NumPy: the absolute basics for beginners — NumPy v1.26 Manual
Link: https://numpy.org/doc/stable/user/absolute_beginners.html
Description: 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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4. NumPy documentation — NumPy v1.26 Manual
Link: https://numpy.org/doc/stable/
Description: 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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5. numpy · PyPI
Link: https://pypi.org/project/numpy/
Description: WebNumPy 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: …
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6. NumPy - Wikipedia
Link: https://en.wikipedia.org/wiki/NumPy
Description: 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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7. Python NumPy Tutorial: An Applied Introduction for Beginners
Link: https://www.learndatasci.com/tutorials/applied-introduction-to-numpy-python-tutorial/
Description: 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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8. NumPy Tutorial: Your First Steps Into Data Science in Python
Link: https://realpython.com/numpy-tutorial/
Description: 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 step on …
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9. GitHub - numpy/numpy: The fundamental package for scientific …
Link: https://github.com/numpy/numpy
Description: WebNumPy 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: …
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10. NumPy – Real Python
Link: https://realpython.com/tutorials/numpy/
Description: WebApr 19, 2023 · Master 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.