linalg
A collection of wrapper classes to make it easier (more readable) to work with NumPy.
Requirements
- Python 3.7+
Example (Vector):
import numpy as np
from linalg.vector import Vector
vec1 = Vector(data=[1, 3, -5]) # => Vector(data=[1. 3. -5.], dtype=float32)
vec2 = Vector(size=3, dtype=np.int32) # => Vector(data=[0 0 0], dtype=int32)
vec3 = Vector(data=[4, -2, -1], dtype=np.int32) # => Vector(data=[4 -2 -1], dtype=int32)
vec1 + vec3 # => Vector(data=[5. 1. -6.], dtype=float32)
vec3 + vec1 # => Vector(data=[5 1 -6], dtype=int32)
vec1 * vec3 # => 3.0
vec1 * 2 # => Vector(data=[2. 6. -10.], dtype=float32)
vec1[0] # => 1
vec1[2] # => -5
vec1[-1] # => -5
for item in vec3:
print(item, end=' ') # => 4 -2 -1
