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📘 Struggling with English-only coding tutorials? Master NumPy — the foundation of Data Science and AI — in simple Hinglish, from your very first array to real, hands-on mini projects.
30 pages. 14 chapters. Zero confusion.
| Chapter | What You'll Learn |
|---|---|
| 1. NumPy Kya Hai? | What NumPy is, why it matters, installation & your first array |
| 2. Array Banana | Creating arrays from lists, special arrays & 2D arrays |
| 3. Array Ke Properties | Shape, size, dimensions, dtype, reshape & flatten |
| 4. Indexing aur Slicing | 1D/2D indexing, slicing, boolean indexing & changing values |
| 5. Array Par Operations | Arithmetic, array-to-array ops, comparisons & vectorization |
| 6. Mathematical & Statistical Functions | Stats, math functions & axis-wise operations |
| 7. Sorting, Searching & Filtering | sort, argsort, where(), unique() & combined filters |
| 8. Stacking & Splitting | concatenate, vstack/hstack & split |
| 9. Broadcasting | Broadcasting with scalars & arrays, plus the rules |
| 10. Random Module | Random numbers, shuffle & random 2D arrays |
| 11. Linear Algebra Basics | Dot product, matrix multiplication, transpose, determinant & inverse |
| 12. Useful Functions Cheat Sheet | Quick-revision cheat sheets for all key functions |
| 13. Mini Projects | 2 complete projects: Student Marks Analyzer & Temperature Data Analysis |
| 14. Aage Kya? (Next Steps) | Your roadmap ahead in the AI & Data Skills Series |
⚡ Instant download — start reading within minutes of your order.
📱 Read anywhere — perfect on mobile, tablet & laptop.
🌱 Beginner-friendly — starts from absolute zero; no prior NumPy needed.
🚀 Grab your copy today — and build the NumPy foundation every data career stands on.