Vectors are used in science to describe anything that has both a direction and a magnitude. They are usually drawn as pointed arrows, the length of which represents the vector's magnitude. Vectors have many real-life applications, including situations involving force or velocity. For example, consider the forces acting on a boat crossing a river. The boat's motor generates a force in one direction, and the current of the river generates a force in another direction. Both forces are vectors
Pip install this module from your console
pip install numerical-analysis-aman
Import this module to your Work Space
# Import In Python File
from Numerical_analysis_aman import Vector
# Import all
from Numerical_Analysis_Aman import *Representaion of vector in module when we declare an array to be Vector :
Vector : ( 1, 2, 3, 4 )
Addition, Subtraction, Product( Cross , Dot), equality
# Declaration
v1 = Vector([1,2,3])
v2 = Vector([4,5,6])
a = 5
# Addition
print( v1 + v2 )
# Subtraction
print( v1 - v2 )
# Cross Product
print( v1.cross(v2) )
# Dot Product
print( v1.dot(v2) )
# Equality
print( v1 == v2 )
# Scaler Product
print( v1.times_scalar(a))Get property helps to to get basic property of Declared Vector
# Declaration
v1 = Vector([3,4,5])
v2 = Vector([2,4,6])
a = 5
# Magnitude
print( v1.magnitude() )
# Normalized Vector
print( v1.normalized() )
# Angle
print( v1.angle(v2) ) #RADIAN output
print( v1.angle( v2, deg=True ) ) #Degree output# Declaration
v1 = Vector([1,5,8])
v2 = Vector([6,2,5])
a = 3
# Check Parallel
print(v1.is_parallel(v2))
# Check orthogonal
print(v1.is_orthogonal(v2))
# Check Parallel
print(v1.is_zero())
# Parallel Component of Projection
print( v1.com_parallel_to(v2))
# Orthogonal Component of Projection
print( v1.com_orthogonal_to(v2))Maybe in future Version You will get more Advanced functions for Vector so stay Tuned
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This repository is licensed under the MIT license.
See LICENSE for details.