{"id":20303163,"url":"https://github.com/bredalis/numpy","last_synced_at":"2026-05-06T08:31:05.142Z","repository":{"id":248436566,"uuid":"805807079","full_name":"Bredalis/Numpy","owner":"Bredalis","description":"✨ Library to work with arrays 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returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["arrays","data","matrix","numpy","numpy-arrays","numpy-library","python"],"created_at":"2024-11-14T16:36:10.848Z","updated_at":"2026-05-06T08:31:05.137Z","avatar_url":"https://github.com/Bredalis.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003e\u003cb\u003e🔢 Python NumPy Projects 🐍\u003c/b\u003e\u003c/h1\u003e\n\n\u003ca href=\"https://www.python.org\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-52BE80\"\u003e\n\u003c/a\u003e\n\u003ca href=\"https://numpy.org/install/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/NumPy-5DADE2\"\u003e\n\u003c/a\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003cimg src=\"https://i.pinimg.com/236x/a9/e3/f3/a9e3f37769bfb883efb28cd7621f3d09.jpg\"\u003e\n\n\u003cp\u003e\n🔢 \u003cb\u003ePython NumPy Projects\u003c/b\u003e is a collection of beginner-friendly numerical computing experiments built using Python and NumPy.\n\nThis repository contains simple examples that demonstrate arrays, matrix operations, identity matrices, and diagonal extraction.\n\nThe goal of this project is to understand the foundations of numerical computing and array manipulation through clean, modular, and well-structured code.\n\n\u003c/p\u003e\n\n---\n\n## Table of Contents 🧾\n\n* Description 📝\n* Features 📦\n* Installation 🛠️\n* Usage 📘\n* Technologies 🧪\n* License 📜\n\n---\n\n## Description 📝\n\nThis repository explores core concepts of numerical computing using Python and NumPy.\n\nThe examples included demonstrate:\n\n* 📐 Array creation\n* 🧮 Matrix operations\n* 🔹 Diagonal extraction\n* 🟢 Identity matrix generation\n* 🔄 Array reshaping\n* 🏗️ Modular and readable code structure\n\nThe project is structured to help beginners understand how to manipulate arrays and matrices step by step.\n\n---\n\n## Features 📦\n\n✔️ Clear and simple NumPy examples\n✔️ Matrix and array operations\n✔️ Identity and diagonal matrices\n✔️ Modular and readable code\n✔️ PEP 8–styled scripts\n\n---\n\n## Installation 🖥️\n\n1️⃣ Clone the repository:\n\n```bash\ngit clone https://github.com/Bredalis/Numpy.git\n```\n\n2️⃣ Navigate into the project directory:\n\n```bash\ncd Numpy\n```\n\n3️⃣ Install dependencies:\n\n```bash\npip install numpy\n```\n\n---\n\n## Usage ⚙️\n\nTo run any example:\n\n1️⃣ Navigate to the script location:\n\n```bash\ncd folder_name\n```\n\n2️⃣ Execute the Python file:\n\n```bash\npython script_name.py\n```\n\nEach file demonstrates a specific NumPy concept in isolation.\n\n---\n\n## Technologies 🧪\n\n* Python 🐍\n* NumPy 🔢\n* Scientific Computing Fundamentals\n* Numerical Array Manipulation\n\n---\n\n## License 📜\n\nThis project is licensed under the 📜 \u003ca href=\"https://www.gnu.org/licenses/gpl-3.0.en.html\" target=\"_blank\"\u003eGPLv3 (GNU General Public License V3.0)\u003c/a\u003e.\n\n---\n\n## 👩‍💻 Author\n\n\u003cimg src=\"https://avatars.githubusercontent.com/u/111624948?s=400\u0026v=4\" width=\"50\" height=\"50\"\u003e  \n\u003cimg src=\"https://readme-typing-svg.demolab.com?font=Roboto+Slab\u0026color=%23FFFFFF\u0026size=35\u0026center=true\u0026vCenter=true\u0026width=450\u0026duration=1500\u0026pause=1000\u0026lines=Hello,+I+am;Bredalis+Gautreaux!\" width=\"auto\" height=\"35\"/\u003e\n\n[![Github](https://img.shields.io/github/followers/Bredalis?label=Follow\\\u0026style=social)](https://github.com/Bredalis)\n![GitHub Followers](https://img.shields.io/github/stars/bredalis?style=social)\n\n\u003ca href=\"https://www.linkedin.com/in/bredalis-gautreaux/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/-LinkedIn-blue?style=flat-square\u0026logo=Linkedin\u0026logoColor=white\"\u003e\n\u003c/a\u003e\n\n😊 I am a programmer passionate about technology, numerical computing, and continuous learning.\nI enjoy exploring mathematical concepts and turning theory into practical Python examples.\n#python #numpy #ai 🚀\n\n---\n\n## ⭐ Check out my GitHub profile\n\n[![Web](https://img.shields.io/badge/GitHub-Bredalis-14a1f0?style=for-the-badge\\\u0026logo=github\\\u0026logoColor=white\\\u0026labelColor=101010)](https://github.com/bredalis)\n\n---\n\n✨ If you like this project, don’t forget to give it a star!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbredalis%2Fnumpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbredalis%2Fnumpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbredalis%2Fnumpy/lists"}