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NumPy Basics

 మీరు AI Engineer/Data Scientist వైపు వెళ్లాలనుకుంటే NumPyలో ఈ టాపిక్స్‌ను క్రమంగా నేర్చుకోవడం చాలా ఉపయోగకరం. 1. NumPy Basics NumPy అంటే ఏమిటి? Installation import numpy as np Arrays సృష్టించడం np . array() np . zeros() np . ones() np . arange() np . linspace() 2. Array Attributes Array గురించి సమాచారం తెలుసుకోవడం arr . shape arr . ndim arr . size arr . dtype ఉదాహరణ: arr = np . array([[ 1 , 2 , 3 ],[ 4 , 5 , 6 ]]) print ( arr . shape) print ( arr . ndim) 3. Indexing & Slicing ఇది చాలా ముఖ్యమైన టాపిక్. arr [ 0 ] arr [ 1 : 4 ] arr [:, 1 ] arr [ 1 ,:] 4. Reshaping Arrays arr . reshape() arr . flatten() arr . ravel() ఉదాహరణ: arr = np . arange( 12 ) arr . reshape( 3 , 4 ) 5. Array Operations + - * / ** % ఉదాహరణ: a + b a * b 6. Broadcasting ⭐ NumPyలో అత్యంత ముఖ్యమైన కాన్సెప్ట్. arr = np . array([ 1 , 2 , 3 ]) arr + 10 Output: [ 11 12 13 ] 7. Mathematical Functions np . sum() np . mean() np . max() np . min() np . std() np . medi...
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