introduced openCV and numpy to some extent

import cv2 as cv
import numpy as np

imread example:
img = cv.imread('reflections.jpg')

imwrite example:
cv.imwrite('outfile.jpg, img)

# display an image and wait for a key to be pressed
cv.imshow('Input img', img)
cv.waitKey(0)
cv.destroyAllWindows()

cv.filter2D examples:
mask1 = np.array([[.1,.1,.1],[.1,.2,.1],[.1,.1,.1]])
filteredimg = cv.filter2D(img, -1, mask1)


blurimg3 = cv.GaussianBlur(img, [11,11], 4)

OR:

smoothmask2 = cv.getGaussianKernel(11,4)
smoothmask2 = smoothmask2.transpose() * smoothmask2
imgblurred = cv.filter2D(img, -1, smoothmask2)

showed numpy stuff:

img.shape
img.dtype
img.size

img[:100,:100] = 255  # makes each pixel in top left corner 10000 pixels all 255,255,255
img[:100,:100] = np.array([20,30,60])

2 dtypes: float64, uint8