Difference between revisions of "NumPy"

From UConn PAN
Jump to navigation Jump to search
(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...")
 
Line 1: Line 1:
 
== Numerical Python (NumPy) ==
 
== Numerical Python (NumPy) ==
 +
<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.</i></font>
 +
<br>
 +
<br>
  
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.
+
* [https://numpy.org/doc/stable/user/absolute_beginners.html NumPy: the Absolute Basics for Beginners <b>(numpy.org)</b>]
<br>
 
* [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>]

Revision as of 02:06, 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.