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📝 quick note: at - the floating point numbers originated from b/a and not from np.floor
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Classroom Contents
NumPy Operations - Ultimate Guide to Methods and Functions for Beginners
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- 1 📝 quick note: at - the floating point numbers originated from b/a and not from np.floor
- 2 - intro
- 3 - create 2D demo arrays
- 4 - dtype attribute
- 5 - fill array with values
- 6 - assignment operators
- 7 - NumPy is Python or C?
- 8 - sum of array
- 9 - sum of columns or rows only
- 10 - product of array
- 11 - average of array mean
- 12 - minimum and maximum values
- 13 - index of minimum and maximum values
- 14 - peak to peak method ptp
- 15 - size attribute
- 16 - flatten vs ravel methods
- 17 - repeat function
- 18 - non-flat repeat function
- 19 - unique function
- 20 - diagonal function
- 21 - convert array to list
- 22 - save array to file
- 23 - swap axes of array
- 24 - transpose method
- 25 - T attribute
- 26 - NumPy documentation
- 27 - simple operations on 2 matrices
- 28 - modulo
- 29 - floor division
- 30 - matrix multiplication
- 31 - thanks for watching! :
