PyGLM Types

PyGLM brings a couple of types with it.

These types represent either vectors, matrices or quaternions.

1. A vector usually is an array of 1 to 4 numbers that serve as positions or directions in a
   1 to 4 dimensional coordinate system (respectively).
   They support a lot of operations necessary in linear algebra.  
   Vector types are expressed as glm.vecN (N being the length).  
   For example a 2D vector would be expressed as glm.vec2.

2. A matrix is a 2 dimensional array of numbers ranging from 2x2 (4 numbers) to 4x4 (16 numbers).  
   They aid in a lot of complex vector manipulations.  
   Matrix types are expressed as glm.matNxM (N being the columns and M being the rows).
   So a 4x4 matrix would be glm.mat4x4, or glm.mat4 for short (because N and M are equal).
   Note: Yes, columns and rows are not in the natural order - this is a flaw of glm.

3. A quaternion is an array of 4 numbers that can be used for complex vector manipulations.
   They are made up of a scalar part (w) and a vector part (x, y, z) and are sometimes displayed as
   (w + x*i + y*j + z*k), where i, j and k are imaginary numbers.
   Quaternion types are simply expressed as glm.quat.

All of these types use 32-bit floating point numbers to store their values.  
PyGLM does however provide other data types.  
For all of the aforementioned:

Data type	Description	Prefix
double	64-bit floating point number	d or f64
float	32-bit floating point number	f or f32 or none

Additionally for matrices and vectors:

Data type	Description	Prefix
int	32-bit signed integer	i or i32
uint	32-bit unsigned integer	u or u32

And additionally for vectors:

Data type	Description	Prefix
int64	64-bit signed integer	i64
int16	16-bit signed integer	i16
int8	8-bit signed integer	i8
uint64	64-bit unsigned integer	u64
uint16	16-bit unsigned integer	u16
uint8	8-bit unsigned integer	u8
bool	boolean values	b

If for example you want to use a 2D int64 vector, the type you want to use would be glm.i64vec2.