- This documents some snipets which I found different from other programing languages.
- A library for numerical computing
- Python provides datastructures like LIST, DICTONARY. But operating on them is done using iterative loops which is computationally inefficient. Numpy provides 'ndarray' for this.
- Unlike ndarray objects, matrix objects are two dimensional
- Its ndarray bit depth defaults to that of python environment ie. for 64 bit its length will be 64. Use type specification
for these types of arrays