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NumPy-Notes NumPy Logo

🗒️ NumPy Notes & Cheatsheet

This repository contains my personal NumPy notes in numpy.md. It’s both a cheatsheet for quick revision and a learning log from my journey in mastering NumPy — Python’s most widely used numerical computing library.

Phase Link
Phase I Numpy Notes Phase - I
Phase II Numpy Notes Phase - II
Phase III Numpy Notes Phase - III
Phase IV Numpy Notes Phase - IV
Phase V Numpy Notes Phase - V
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Phase VI Numpy Notes Phase - VI
Phase VII Numpy Notes Phase - VII
Phase VIII Numpy Notes Phase - VIII
Phase IX Numpy Notes Phase - IX

🔑 What’s Inside

  • Introduction to NumPy & why it’s fast
  • Array creation & initialization
  • Indexing, slicing & masking
  • Shape manipulations (reshape, transpose, flatten)
  • Mathematical & statistical functions
  • Aggregations (sum, mean, max, etc.)
  • Random number generation (randint, rand, choice)
  • Common pitfalls & tips

🎯 Purpose

  • 📖 Acts as revision material while coding.
  • ⚡ Serves as a cheatsheet for interviews and projects.
  • 🧑‍💻 Documents my learning journey through structured notes.

📚 References & Learning Resources

These notes are compiled from multiple amazing sources:

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NumPy cheatsheet in Markdown — core concepts, quick refs, and the 80/20 essentials.

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