dlouapre

# -*- coding: utf-8 -*-

from numpy import *
from numpy.random import *
from numpy.fft import *
from pylab import *

N = 2**9 # FFT works better with signals whose length is power of 2
T = 10   # Length of time interval
t = linspace(0,T,N)

dlouapre

# -*- coding: utf-8 -*-
from numpy import *
from numpy.random import *

# Discrete distributions
binomial(n=100, p=0.3, size = 5)   # e.g. array([24, 39, 27, 33, 32])
poisson (lam=30, size = 5)         # Poisson of average lambda = 30  

# Continuous
normal(loc=10, scale=3, size=5)

dlouapre

# -*- coding: utf-8 -*-
from numpy import *
from numpy.linalg import *

# Create matrices
a_list = [[0,1,2],[4,9,2],[-3,1,3]]
a_array = array(a_list)
A = matrix(a_array)
B = mat('1 2 3')     # Line vector
B = mat('1;2;3')     # Column vector

dlouapre

# -*- coding: utf-8 -*-
import xlrd

# Open the file
wb = xlrd.open_workbook('test.xlsx')

# Get the list of the sheets name
sheet_list = wb.sheet_names()
print sheet_list

dlouapre

# -*- coding: utf-8 -*-
from numpy import *

''' ----------------------------------------------------- '''
''' Differences between operations on list and on ndarray '''
''' ----------------------------------------------------- '''

# Lists
x = [1,2,3]
y = [4,5,6]