🚀 Numerical Methods in Python

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🌟 Welcome! (click to expand)

Numerical Methods in Python is your interactive playground for learning, experimenting, and visualizing mathematical concepts. Whether you're a student, educator, or enthusiast, you'll find something to spark your curiosity!

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📚 What's Inside?

Lab Assignment 01 2220281_Mst_Aysa_Siddika_Meem_CSE317L_Lab_Assignment_01.ipynb	Random matrix generation Row & column operations Vector creation & manipulation Block matrix math 2D & 3D plotting Image processing
Finding Roots Solution Finding_Roots_Solution.ipynb	Algorithms for finding roots of equations (coming soon)
Numpy Basics Numpy_basics.ipynb	Essential NumPy operations (coming soon)
Taylor Series Taylor_Series.ipynb	Taylor series expansion and applications (coming soon)

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🛠️ Technologies Used

• numpy — Fast numerical computations
• matplotlib — Beautiful plots & graphs
• Pillow (PIL) — Image processing
• IPython.display — Interactive notebook visuals

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✨ Highlights

Matrix Magic: Create, slice, and analyze matrices with ease
Vector Power: Generate and transform vectors for any purpose
Plotting Playground: Visualize equations and surfaces in 2D & 3D
Image Wizardry: Manipulate images, convert to grayscale, and reshape for analysis

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🚦 Getting Started

1. Clone this repo
2. Install dependencies:

   pip install numpy matplotlib pillow

3. Open a notebook in Jupyter or VS Code
4. Run the cells and explore!

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📖 License & Contribution

This repository is for educational purposes. Contributions, suggestions, and questions are always welcome—just open an issue or pull request!

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Made with ❤️ for learning and sharing.

Author: Aysa Siddika Meem

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For any questions or suggestions, feel free to open an issue or contact the repository owner.

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