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numpy-in-action

This repository contains well-structured Jupyter notebooks and code snippets demonstrating the power and versatility of NumPy — Python’s fundamental package for numerical computing.

Topics Covered:

  • NumPy array creation and manipulation
  • Broadcasting and vectorized operations
  • Indexing and slicing techniques
  • Mathematical and statistical functions
  • Linear algebra operations

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This repository contains well-structured Jupyter notebooks and code snippets demonstrating the power and versatility of NumPy — Python’s fundamental package for numerical computing.

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