13.3.4 Some useful modules

 

 

The list of useful Python modules is vast. In the following table, we have given a very short segment of such a list, focused on modules related to mathematical and engineering applications (Table 13.2):

Module	Description
scipy	Functions used in scientific computing
numpy	Support arrays and related methods
matplotlib	Plotting and visualization
functools	Partial application of functions
itertools	Iterator tools to provide special capabilities, such as slicing to generators
re	Regular expressions for advanced string handling
sys	System-specific functions
os	Operating system interfaces such as directory listing and file handling
datetime	Representing dates and date increments
time	Returning wall clock time
timeit	Measuring execution time
sympy	Computer arithmetic package (symbolic computations...