Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.

It includes the basic and advance numpy array manipulations. The topics like indexing, slicing, fast element array-wise functions, mathematical and statistical methods, filing, linear algebra functions, pseudo-random numbers, reshaping, splitting, concatenating,tiles, repeating, where( ) function & numpy advanced array manipulation are implemented.

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities

This module gets first trained by the pre-trained haar-cascade classifier, then using collected face data, it recognizes the user.

basic machine learning code

The fundamentals of Python NumPy Library.

A utility application that simplifies texture manipulation. Using Numpy and PIL

I want make this course, because I want to learning how to use the Python programming language for Computer Vision.

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.

Решение инженерных и экономических задач с NumPy

This repository is adapt from the course materials for Honors Engineering Analysis at Northwestern University. The course is designed for Engineering first-year undergraduate students to learn about linear algebra and its applications.

Code to create a Pairwise Zip code Distance Matrix and use an index lookup. This is a tiny utility I built, for use in my work, but I figured it might be helpful to anyone else dealing with zip/postal code distances

Data analysis and python programming

Some stuff i keep going back to while doing Data Schinece projects, that i've used for practicing

Python Numpy Examples

A machine learning model after detailed image processing applications that classifies a bee as either honey bee or bumble bee

In-depth exploration of essential NumPy functions