Numpy genfromtxt

Numpy genfromtxt

Numpy repeat

Numpy repeat example

Numpy empty function

Numpy empty function

numpy ravel

import numpy as np x = np.array([[7,8,9],[12,13,14],[16,17,18]]) print(x) print(‘Row Major:\n’,np.ravel(x,order=’C’)) print(‘Column major:\n’,np.ravel(x,order=’F’)) Output [[ 7 8 9][12 13 14][16 17 18]]Row Major:[ 7 8 9 12 13 14 16 17 18]Column major:[ 7 12 16 8 13 17 9 14 18]

numpy masked array

import numpy as npa = np.arange(5)print(a)x = np.ma.array(a,mask=[[9,9,9,9,9]])print(x)y = np.ma.array(a,mask=[[0,1,0,1,0]])print(y) Output[0 1 2 3 4][– — — — –][0 — 2 — 4]

Threading demo

from threading import *from time import * class Calc: def __init__(self,n1,n2):        self.num1 = n1       self.num2 = n2 def add(self):        print(self.num1 + self.num2) def subtract(self):        print(self.num1 – self.num2) obj1 = Calc(8,2)obj2 = Calc(10,3) ThreadAdd1 = Thread(target=obj1.add)ThreadAdd2 = Thread(target=obj2.add) ThreadAdd1.start()print()ThreadAdd2.start() ThreadSub1 = Thread(target=obj1.subtract)ThreadSub2 = Thread(target=obj2.subtract) ThreadSub1.start()print()ThreadSub2.start()

Threading

Python threading