Dive deep into NumPy operations with this comprehensive tutorial video, focusing on essential array methods, functions, and mathematical operations for beginners. Learn to create and manipulate 2D arrays, understand data types, perform array filling and assignment, and explore various mathematical operations like sum, product, mean, min/max, and peak-to-peak. Master array manipulation techniques including flattening, repeating, finding unique elements, and working with diagonals. Discover how to convert arrays to lists, save arrays to files, and perform axis swapping and transposition. Gain insights into NumPy documentation and practice simple matrix operations, modulo arithmetic, floor division, and matrix multiplication. Enhance your NumPy skills with detailed examples and practical tips throughout this 28-minute guide.
NumPy Operations - Ultimate Guide to Methods and Functions for Beginners
Overview
Syllabus
quick note: at - the floating point numbers originated from b/a and not from np.floor
- intro
- create 2D demo arrays
- dtype attribute
- fill array with values
- assignment operators
- NumPy is Python or C?
- sum of array
- sum of columns or rows only
- product of array
- average of array mean
- minimum and maximum values
- index of minimum and maximum values
- peak to peak method ptp
- size attribute
- flatten vs ravel methods
- repeat function
- non-flat repeat function
- unique function
- diagonal function
- convert array to list
- save array to file
- swap axes of array
- transpose method
- T attribute
- NumPy documentation
- simple operations on 2 matrices
- modulo
- floor division
- matrix multiplication
- thanks for watching! :
Taught by
Python Simplified
