This repository contains practical exercises and assignments for the Big Data Computation course at Gunadarma University, 2023. The focus is on using Python for big data computation, including matrix operations and NumPy arrays.
A 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.
Python does not have a built-in type for matrices. However, we can treat lists within lists as matrices. For example:
A = [[1, 4, 5],
[-5, 8, 9]]NumPy is a library for scientific computing that supports multi-dimensional arrays. For example:
import numpy as np
a = np.array([1, 2, 3])
print(a)
print(type(a))GUNADARMA UNIVERSITY - 2023 X Webkumal