{"id":20766903,"url":"https://github.com/rezapace/artificial-intelligence","last_synced_at":"2025-09-28T00:32:07.653Z","repository":{"id":138790458,"uuid":"567769877","full_name":"rezapace/ARTIFICIAL-INTELLIGENCE","owner":"rezapace","description":"This repository contains practical exercises and assignments for the Big Data Computation course at Gunadarma University, 2023. 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The focus is on using Python for big data computation, including matrix operations and NumPy arrays.\n\n## Table of Contents\n- [Resources](#resources)\n- [Python Matrices and NumPy Arrays](#python-matrices-and-numpy-arrays)\n  - [Matrix Definition](#matrix-definition)\n  - [Python Matrix](#python-matrix)\n  - [NumPy Array](#numpy-array)\n- [How to Run](#how-to-run)\n\n## Resources\n- [GOOGLE COLAB](https://colab.research.google.com/)\n- [JUPYTER NOTEBOOK](https://jupyter.org/try)\n- [Hypercomputation Gunadarma](https://hypercomputation-hub.gunadarma.ac.id/)\n- [Webkumal ARTIFICIAL INTELLIGENCE](https://webkumal.com/tag/artificial-intelligence/)\n\n## Python Matrices and NumPy Arrays\n\n### Matrix Definition\nA matrix is a two-dimensional data structure where numbers are arranged into rows and columns. For example, a 3x4 matrix (read as \"three by four\") has 3 rows and 4 columns.\n\n### Python Matrix\nPython does not have a built-in type for matrices. However, we can treat lists within lists as matrices. For example:\n```python\nA = [[1, 4, 5], \n     [-5, 8, 9]]\n```\n\n### NumPy Array\nNumPy is a library for scientific computing that supports multi-dimensional arrays. For example:\n```python\nimport numpy as np\n\na = np.array([1, 2, 3])\nprint(a)\nprint(type(a))\n```\n\n---\n\nGUNADARMA UNIVERSITY - 2023 X Webkumal","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frezapace%2Fartificial-intelligence","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frezapace%2Fartificial-intelligence","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frezapace%2Fartificial-intelligence/lists"}