# vectors Release 1.0.0

A simple vector toolkit dealing with vectors and points in the 3-dimensional space

MIT
Install
``` pip install vectors==1.0.0 ```

# Vectors

Vectors is a simple library toolkit dealing with common vector and point logic in the 3-dimensional space.

Supports commonly used vector math functions including:

• Vector magnitude
• Addition with another vector or a real number.
• Multiplication by another vector or a real number.
• Dot product
• Cross/scalar product
• Create a unit vector of a vector
• Angle between vectors
• Check if two vectors are perpendicular, parallel or non-parallel

# Installation

``````pip install vectors
``````

# Documentation

## Usage

There are multiple ways to create our vector instances using the vectors module.

We can first initialize some vectors and points calling their repsective class contructors as follows.

```from vectors import Point, Vector

v1 = Vector(1, 2, 3) #=> Vector(1, 2, 3)
v2 = Vector(2, 4, 6) #=> Vector(2, 4, 6)

p1 = Point(1, 2, 6) #=> Point(1, 2, 3)
p2 = Point(2, 0, 2) #=> Point(2, 4, 6)```

We can also create a Point instance or a Vector instance with a list using the class method from_list().

```components = [1.2, 2.4, 3.8]

v = Vector.from_list(components) #=> Vector(1.2, 2.4, 3.8)```

We can also create our Vectors from two Point instances using the classmethod from_points().

`v = Vector.from_points(p1, p2) #=> Vector(1, -2, -4)`

We can also get access to the vector array to use it with other libraries.

`v1.vector #=> [1, 2, 3]`

We can also create our Vectors from a maginitude and up to two directions theta and phi.

```v1 = Vector.from_mag_and_dir(1, math.pi) #=> Vector(-1,0,0)
v2 = Vector.from_mag_and_dir(1, 0, (math.pi / 2)) #=> Vector(0,0,1)```

## Magnitude

We can get the magnitude of the vector easily.

`v1.magnitude() #==> 3.7416573867739413`

We can add a real number to a vector or compute the vector sum of two vectors as follows.

```v1.add(2) #=> Vector(3.0, 4.0, 5.0)

v1.sum(v2) #=> Vector(3.0, 6.0, 9.0)```

Both methods return a Vector instance.

## Multiplication

We can multiply a vector by a real number.

`v1.multiply(4) #=> Vector(4.0, 8.0, 12.0)`

The above returns a Vector instance.

## Dot Product

We can find the dot product of two vectors.

`v1.dot(v2) #=> 28`

We can also use angle theta on the dot function.

`v1.dot(v2. 180)`

Dot product returns a real number.

## Cross/Scalar Product

We can find the cross product of two vectors.

`v1.cross(v2) #=> Vector(0, 0, 0)`

Cross product returns a Vector instance, which is always perpendicular to the other two vectors.

## Unit Vector

We can find the unit vector of a given vector.

`v1.unit() #=> Vector(0.267261241912, 0.534522483825, 0.801783725737)`

Unit vector function returns a Vector instance that has a magnitude of 1.

## Angle Theta

We can also find the angle theta between two vectors.

`v1.angle(v2) #=> 0.0`

Angle is a measured in degrees.

## Parallel, Perpendicular, Non-Parallel

We can check if two vectors are parallel, perpendicular or non-parallel to each other.

```v1.parallel(v2) #=> True
v1.perpendicular(v2) #=> False
v1.non_parallel(v2) #=> False```

All of the above return either True or False.

#TODO

• Create Analytic Geometry Toolkit based on the vectors toolkit.

I'm looking for collaborators, so if you have something interesting, feel free to collaborate.