VecPy: Some Linear Algebra Basics in Python

A quick one:

>>> from vecpy import Vector as Vec
>>> v = Vec(0, 2)
>>> w = Vec([1, 3])
>>> v + 2
>>> v + w

Features

• Basic operations ( dot-product, projection, rescaling, etc.)

Installation

To install VecPy, simply:

$ pip install vecpy

Documentation

This is a simple package allowing to complete very basic linear algebra tasks.

It is best explained by example:

>>> v = Vec(0, 2)
>>> w = Vec(1, 3)

You can do basic rescaling of a vector:

>>> v_twice = v ^ 2
>>> print v_twice.length == 2 * v.length
>>> v_unit = v ^ 0
>>> print v_unit.length

Adding scalar and other vectors:

>>> v + 2
>>> v + w
...

Multiplication and dot-product

>>> v * 3
>>> v.dot(w)

A vector has several properties:

>>> v.length
>>> v.dim

You can specify which norm to use (default is the Euclidean)

>>> v.norm(1)
>>> v.norm('inf')
>>> v.norm(2) == v.length
...

You can project one vector on another:

>>> w_proj_v = v.proj(w)
>>> ratio = v.proj(w, get_scale=True)

Iteration is supported as well:

>>> print [xi for xi in v]

String representations:

>>> print str(v)
>>> print '{:[x, y, z]}'.format(v)