https://github.com/bredalis/numpy
✨ Library to work with arrays ✨
https://github.com/bredalis/numpy
arrays data matrix numpy numpy-arrays numpy-library python
Last synced: about 1 month ago
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✨ Library to work with arrays ✨
- Host: GitHub
- URL: https://github.com/bredalis/numpy
- Owner: Bredalis
- License: gpl-3.0
- Created: 2024-05-25T14:11:18.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-11-10T20:57:21.000Z (over 1 year ago)
- Last Synced: 2025-07-18T22:34:42.270Z (11 months ago)
- Topics: arrays, data, matrix, numpy, numpy-arrays, numpy-library, python
- Language: Python
- Homepage:
- Size: 26.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
🔢 Python NumPy Projects 🐍
🔢 Python NumPy Projects is a collection of beginner-friendly numerical computing experiments built using Python and NumPy.
This repository contains simple examples that demonstrate arrays, matrix operations, identity matrices, and diagonal extraction.
The goal of this project is to understand the foundations of numerical computing and array manipulation through clean, modular, and well-structured code.
---
## Table of Contents 🧾
* Description 📝
* Features 📦
* Installation 🛠️
* Usage 📘
* Technologies 🧪
* License 📜
---
## Description 📝
This repository explores core concepts of numerical computing using Python and NumPy.
The examples included demonstrate:
* 📐 Array creation
* 🧮 Matrix operations
* 🔹 Diagonal extraction
* 🟢 Identity matrix generation
* 🔄 Array reshaping
* 🏗️ Modular and readable code structure
The project is structured to help beginners understand how to manipulate arrays and matrices step by step.
---
## Features 📦
✔️ Clear and simple NumPy examples
✔️ Matrix and array operations
✔️ Identity and diagonal matrices
✔️ Modular and readable code
✔️ PEP 8–styled scripts
---
## Installation 🖥️
1️⃣ Clone the repository:
```bash
git clone https://github.com/Bredalis/Numpy.git
```
2️⃣ Navigate into the project directory:
```bash
cd Numpy
```
3️⃣ Install dependencies:
```bash
pip install numpy
```
---
## Usage ⚙️
To run any example:
1️⃣ Navigate to the script location:
```bash
cd folder_name
```
2️⃣ Execute the Python file:
```bash
python script_name.py
```
Each file demonstrates a specific NumPy concept in isolation.
---
## Technologies 🧪
* Python 🐍
* NumPy 🔢
* Scientific Computing Fundamentals
* Numerical Array Manipulation
---
## License 📜
This project is licensed under the 📜 GPLv3 (GNU General Public License V3.0).
---
## 👩💻 Author
[](https://github.com/Bredalis)
😊 I am a programmer passionate about technology, numerical computing, and continuous learning.
I enjoy exploring mathematical concepts and turning theory into practical Python examples.
#python #numpy #ai 🚀
---
## ⭐ Check out my GitHub profile
[](https://github.com/bredalis)
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