Difference between revisions of "NumPy"

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(Created page with "== Numerical Python (NumPy) == NumPy is an open-source Python library created in 2005. It is used for working with arrays, but also has functions for working in the domain of...")
 
 
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== Numerical Python (NumPy) ==
 
== Numerical Python (NumPy) ==
 
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<font><i>NumPy is an open-source Python library created in 2005. It is used for working with arrays, but also has functions for working in the domain of linear algebra, fourier transform, and matrices.
NumPy is an open-source Python library created in 2005. It is used for working with arrays, but also has functions for working in the domain of linear algebra, fourier transform, and matrices.
 
 
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* [https://numpy.org/doc/stable/user/absolute_beginners.html NumPy: the absolute basics for beginners <b>(numpy.org)</b>]
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<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
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* [https://numpy.org/doc/stable/user/absolute_beginners.html NumPy: the Absolute Basics for Beginners <b>(numpy.org)</b>]
 
* [https://www.w3schools.com/python/numpy/numpy_intro.asp NumPy Introduction <b>(w3schools.com)</b>]
 
* [https://www.w3schools.com/python/numpy/numpy_intro.asp NumPy Introduction <b>(w3schools.com)</b>]
 
* [https://numpy.org/doc/stable/user/whatisnumpy.html NumPy User Guide <b>(numpy.org)</b>]
 
* [https://numpy.org/doc/stable/user/whatisnumpy.html NumPy User Guide <b>(numpy.org)</b>]
 
* [https://www.geeksforgeeks.org/python-numpy/ NumPy Tutorial <b>(geeksforgeeks.org)</b>]
 
* [https://www.geeksforgeeks.org/python-numpy/ NumPy Tutorial <b>(geeksforgeeks.org)</b>]
 
* [https://pypi.org/project/numpy/ Fundamental package for array computing in Python <b>(pypi.org)</b>]
 
* [https://pypi.org/project/numpy/ Fundamental package for array computing in Python <b>(pypi.org)</b>]

Latest revision as of 02:07, 7 March 2023

Numerical Python (NumPy)

NumPy is an open-source Python library created in 2005. It is used for working with arrays, but also has functions for working in the domain of linear algebra, fourier transform, and matrices.

Below are some websites with more information and beginner tutorials: