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introduction Python numpy

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Master how to create and manipulate NumPy arrays for efficient numerical computations in Python
  • Apply NumPy functions to perform linear algebra operations and matrix calculations effectively
  • Utilize Fourier transform techniques using NumPy for signal processing and data analysis tasks
  • Implement practical solutions with NumPy to optimize performance in scientific and engineering Python projects

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Lessons | 4


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Neeraj Kumar 

Good teaching style
2025-06-26

Shaik Awaz ali 

super
2024-12-18

Snowfia P 

excellent
2024-02-13

EL HARKAOUI 

great course
2023-10-20

Elzubier Alsayed 

simple and clean declaration of the main concepts of numby its a great job
2023-09-09

Dhruv Jain 

I learn very much throw this courses
2023-08-25

Anis yadu 

Good
2023-07-07

Amit Shah 

Good
2023-05-29

Sanjay Chandrashekhar Patil 

I like your teaching methods, it's very useful for me.
Thank you so much
2023-05-26

Mohammad afthabuddeen 

Very good
2023-05-20

SURENDAR S 

good teaching flow
2022-11-29

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NumPy 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 .