numpy-arrays

Repository to store sample python programs for python learning

This repository helps you learn Python and Machine Learning from scratch.

Python bindings for xtensor

scikit-fmm is a Python extension module which implements the fast marching method.

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

Load and view .npy files containing 2D and 1D NumPy arrays.

MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.

A Python library for manipulating indices of ndarrays

Python package to compress numerical series & numpy arrays into strings

N-dimensional NumPy array tiling and merging with overlapping, padding and tapering

Multiprocessing queues for numpy arrays using shared memory

Julia package for xtensor-julia

sugar for s3

Cheat Sheet generated in the Introduction to NumPy course

Converting images to numpy files

Karma of Humans is AI

pyKVFinder: Python-C parallel KVFinder

I have written Machine learning equations from scratch in python using Andrew Ng Coursera dataset. Andrew-Ng-Coursera-Machine-learning-in-Python.

DLPack data exchange interface in Python

Introduction to NumPy arrays