The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Empowering Scientific Computing and Data Manipulation With Numerical Python (NumPy)
Abstract
NumPy is a Python library for performing numerical data structures and specialized computing. It improves the components of N-dimensional arrays and provides operations and tools to interface with these arrays. NumPy implements the N-dimensional array, or ndarray, and provides Python-specific scientific methods for performing realistic array and matrix operations. When compared to array programming in other languages, it will allow us to do a wide range of mathematical operations and data manipulations. NumPy can be used with other Python packages and programming languages such as C and C++. NumPy now supports object-oriented programming as well. For example, a class called ndarray may be an N-dimensional array with multiple ways of performing various data structure operations and characteristics.
Related Content
|
Rashmi Gupta, Jeetendra Kumar, Suvarna Sharma.
© 2026.
32 pages.
|
|
Yashodeep Bharat Deshmukh, Abhishek Mukhopadhyay.
© 2026.
42 pages.
|
|
Suriya Murugan, Anandakumar Haldorai.
© 2026.
20 pages.
|
|
Meetu Malhotra, Rahul Awasthy.
© 2026.
34 pages.
|
|
Ismail Lamaakal, Bentaleb Youssef, Yassine Maleh, Ibrahim Ouahbi, Khalid El Makkaoui.
© 2026.
34 pages.
|
|
Muthmainnah Muthmainnah, Besse Darmawati, Abd. Rasyid, Sutejo Sutejo, Sri Haryatmo, Nurweni Saptawuryandari, Ahmad Al Yakin, Ismail Lamaakal.
© 2026.
28 pages.
|
|
Wasswa Shafik.
© 2026.
32 pages.
|
|
|