A structured NumPy learning repository covering arrays, indexing, slicing, broadcasting, matrix operations, and numerical computing — building a foundation for Data Science, ML, and AI.
Array Creation • Indexing & Slicing • Reshaping • Mathematical Operations • Broadcasting • Aggregation • Matrix Operations • Statistical Functions • Random Generation • Boolean Masking
| 📓 Jupyter Notebook | 🌐 Interactive Web |
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| Hands-on practice covering all NumPy fundamentals | Browser-based reference with live code examples |
| Python • NumPy • Jupyter | HTML • CSS • JavaScript |
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git clone https://github.com/suryanshsingh-codes/NumPy.git
cd NumPy
pip install numpy jupyter
jupyter notebookLearn • Compute • Analyze • Build