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#

numerical-computing

Here are 56 public repositories matching this topic...

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types

  • UpdatedDec 22, 2022
  • Scala

A focused resource for mastering NumPy, featuring practice problems, code examples, and interview-oriented numerical computing techniques in Python. Covers array operations, linear algebra, and performance optimization for data science interviews.

  • UpdatedMay 22, 2025
  • Python

A java package for nd-array calculations

  • UpdatedJan 14, 2021
  • Java

Python implementation of Methods and Algorithm or Numerical Computing Course. You just have to Enter the input values from the question and All the iterations will be generated automatically.

  • UpdatedAug 11, 2020
  • Jupyter Notebook

a basic numpy-like library in c with broadcasting :)

  • UpdatedSep 8, 2025
  • C
matrico

A structured collection of Jupyter notebooks exploring NumPy from the ground up; covering array creation, manipulation, broadcasting, indexing, and data visualization for scientific computing and data analysis.

  • UpdatedOct 11, 2025
  • Jupyter Notebook

The code provides a collection of functions for matrix changes, including transposing, finding the rank, inverting, multiplying.

  • UpdatedJun 24, 2023
  • Python

This repository contains the source code and documentation for the OptiNumPy library, a numerical analysis optimization package written in Python. The library provides various numerical optimization algorithms for solving optimization problems.

  • UpdatedJul 29, 2023
  • Python

This course contains lots of challenges for NumPy, each challenge is a small NumPy project with detailed instructions and solutions. You can practice your NumPy skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.

  • UpdatedOct 23, 2025
NumericalAnalysis

Complete numerical computing labs with pdf documents. You just need to change coding according to your question requirements.

  • UpdatedNov 23, 2020
  • Jupyter Notebook

Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.

  • UpdatedJun 8, 2025
  • Jupyter Notebook

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