# List Splicing

## combine two lists with alternating order

 # combination does not work if two lists are of different sizes list1=[1,2,3] list2=[4,5,6] combined_list=[0]*len(list1)*2 combined_list[::2]=list1 combined_list[1::2]=list2 

# List Generation

## generate parameter search list

 # generate n points around xo with a step of dx import numpy as np x=np.array([i*dx for i in range(n)]) # generate points with proper separation x=x+xo-x.mean() # shift mean to desired value 

## generate uniform or Chebyshev grid for fitting

 # generate an n-point uniform grid from 2 to 4 x = np.linspace(2,4,n) # generate an n-point Chebyshev grid from 2 to 4 x = [np.cos( (2*k+1)*np.pi/(2*n) ) for k in range(n)] # 0 to 1 x = (x-0.5)*2+3 # shift origin to 0, stretch, shift origin to 3 

# String Manipulation

## format complex numbers

"complex number z={:2.2f}".format(z)

# Matrix Manipulation

## reshape and transpose (permute indeices)

test = np.zeros(1,2,3) print test.shape test = test.transpose((1,0,2)) print test.shape test.reshape(2,3)