This repository helps you understand python from the scratch.
-
Updated
May 21, 2024 - Jupyter Notebook
This repository helps you understand python from the scratch.
pyKVFinder: Python-C parallel KVFinder
A Python library for manipulating indices of ndarrays
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
Faster inference YOLOv8: Optimize and export YOLOv8 models for faster inference using OpenVINO and Numpy 🔢
An array-based cellular-automata implementation of my ant pheromone simulation!
Python script, to inject memory, CPU and URL stress
Un tableur en langage Python axé sur des fonctionnalités intuitives et la capacité de visualiser des données.
A short numpy project demonstrating the usage of the NumPy module
Pandas & Numpy Implementation
This repository contains the code and analysis for predicting flight cancellations for American Airlines Inc. using logistic regression, as well as exploratory data analysis (EDA) of the dataset.
Generates 3D graphs of terrain elevation, heatmaps based on the regolith temperature, thermal imaging representations of the surfaces, shortest paths, and top views of the terrain.
Solver for linear systems with n unknowns
Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
Credit Score Prediction
Python variables, conditionals, loops, data structures, functions, OOP. Numpy. Pandas.
code getter for numpy operations.
Add a description, image, and links to the numpy-arrays topic page so that developers can more easily learn about it.
To associate your repository with the numpy-arrays topic, visit your repo's landing page and select "manage topics."