Python Ndim

Python Ndim is a package for working with multi-dimensional arrays in Python. It is built on top of NumPy, providing a simple and intuitive interface for manipulating arrays of any shape and size.

Installation

You can install Python Ndim via pip:

pip install python-ndim

Usage

To use Python Ndim, you first need to import it:

import ndim

Python Ndim provides a NdimArray class, which you can use to create multi-dimensional arrays. You can create an NdimArray object by passing a Python list or tuple of values:

import ndim

# Create a 1D array
array_1d = ndim.NdimArray([1, 2, 3])

# Create a 2D array
array_2d = ndim.NdimArray([[1, 2], [3, 4], [5, 6]])

# Create a 3D array
array_3d = ndim.NdimArray([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])

You can access the elements of an NdimArray using the same syntax as a NumPy array:

import ndim

# Create a 2D array
array_2d = ndim.NdimArray([[1, 2], [3, 4], [5, 6]])

# Access an element
print(array_2d[0, 0])  # Output: 1

# Slice the array
print(array_2d[1:])  # Output: NdimArray([[3, 4], [5, 6]])

Python Ndim provides a number of functions for manipulating NdimArray objects, such as reshape, transpose, flatten, and concatenate. You can also perform arithmetic operations on NdimArray objects using the same syntax as NumPy arrays:

import ndim

# Create two 2D arrays
array_1 = ndim.NdimArray([[1, 2], [3, 4]])
array_2 = ndim.NdimArray([[5, 6], [7, 8]])

# Perform element-wise addition
array_sum = array_1 + array_2

# Perform dot product
array_dot = ndim.dot(array_1, array_2)

Conclusion

Python Ndim provides a powerful and easy-to-use interface for working with multi-dimensional arrays in Python. Its simple syntax and comprehensive set of functions make it a great choice for anyone working with numerical data in Python.