The goal of this repository is to provide high-quality resources by the NumPy project, both for self-learning and for teaching classes. Tutorial: Static Equilibrium · X-ray image processing · Requirements.txt

Numpy tutorial for beginners · Data Types · Array · Sampling Methods · Maths functions · Slicing and Indexing · Set operations · Linear Algebra ...

This section will serve as a quick crash course on both the Python programming language and its use for scientific computing.

Learn to write a NumPy tutorial. The Diátaxis framework for documentation dividing tutorials, how-to guides, explanation, and reference.

We'll first use a very simple setup and more precisely, we'll use the glider pattern that is known to move one step diagonally in 4 iterations.

NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays.

This tutorial demonstrates how to build a simple Long Short Term memory network (LSTM) from scratch in NumPy to perform sentiment analysis.

This repository contains all the material needed by students registered for the Numpy tutorial of SciPy 2022 on Monday, July 11th 2022.

Jupyter Notebook & Data Associated with my Tutorial video on the Python NumPy Library - NumPy/NumPy Tutorial.ipynb at master · KeithGalli/NumPy.

This repo currently holds: A tutorial on basic Python, NumPy, SciPy, and Matplotlib that is necesseary to get started with the above machine learning class.