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A comprehensive collection of Python scripts covering basic to advanced NumPy operations, including array manipulations, linear algebra, and statistical computations. Ideal for learning and practicing numerical computations with NumPy

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jubairt/Numpy

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NumPy Operations Repository

This repository contains a comprehensive collection of Python scripts and a Jupyter notebook covering a wide range of NumPy operations. It's designed for both beginners and advanced users to explore NumPy's capabilities in numerical computation and data manipulation.

Repository Structure

Below is the list of files and their focus areas:

  1. Basic_operations.py

    • Covers basic NumPy operations like array creation, reshaping, indexing, slicing, and basic arithmetic.
  2. Linear_Algebra.py

    • Includes matrix operations, determinants, eigenvalues, eigenvectors, and solving linear systems.
  3. Statitics.py

    • Focuses on statistical functions in NumPy, such as mean, median, variance, standard deviation, and percentiles.
  4. common_operations.py

    • Contains reusable utility functions like element-wise operations, broadcasting, and aggregation techniques.

Getting Started

To use this repository:

  1. Clone the repository to your local system:
    git clone https://github.com/jubairt/Numpy.git

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A comprehensive collection of Python scripts covering basic to advanced NumPy operations, including array manipulations, linear algebra, and statistical computations. Ideal for learning and practicing numerical computations with NumPy

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