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Basics commands
dir(__builtins__)
Show all the defined functions
help(function_name)
Show function description
print(string_text)
print(string_text)
(__name__)
print the scope in which the functionality is been executed
Define a function
- Type word def follow by name function with the parameters
- Type word return with the functionality
Ex: def f(x): return x**2
Testing
Inside your function description define the result expected inside the comments.
'''
>>> function_name(parameter_value)
result
>>> function_name(parameter_value_2)
result2
>>>
'''
To run the test cases type
import doctest
doctest.testmod()
You can also run the test cases after your return statement, so each time you include your function the test cases are executed.
Unittest
You can also use Unit Test
- Import unittest
- Create a class inherits from unittest.TestCase
- class TestMain(unittest.TestCase):
- Create your test case
- def test_name(self):
- Use self.assertEqual()
- Execute the test cases with unittest.main(exit=False)
Consideration for test cases
Take in consideration these cases:
- Size
- Dichotomies
- True/False
- Even/Odd
- Boundaries
- Order
Define a class
- Type the name of the class and inside the parenthesis the class you want to import
- Define your default constructor
- Define your methods
class MyClass(str):
def __init__(param1, param2):
self.var1 = param1
def paly(s):
print (__name__)
return len(s)
Define methods with default value in parameters
def method_name(param , param2=default_value):Then you can call method in these ways:
- method_name(2) or
- method_name(2, 'aa')
Algorithms
Each function performs as one of the following functions
- Lineal
- Exponential
- Logarithmic
log2(n) is the number of times we divide n by 2 in order to reach 1
To evaluate a function python have the library cProfile
Exceptions
Use the following syntaxis
try:
except exceptionType:
except exceptionType as e:
print (e)
print (e)
As recommendation can use assert to verify preconditions
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