ObjectiveTest Tutorial | Test Management System

This is a tutorial on ObjectiveTest, which is a cloud-based test management tool. ObjectiveTest has features like Plan releases, Gather requirements, Manage test cases, Manage test runs, Defect management and Administration. At present, ObjectiveTest is free for small QA teams (up to 10 users for 12 months). Please view the ObjectiveTest tutorial video or read on... ObjectiveTest is available from their website, where we can click on the PRODUCTS tab and then click on the Demo Instance link. In the demo instance, the Username and Password is pre-populated. So, we can simply click the Login button.

The Projects drop down is at the top right, where we can select any project. Let us select the default project. The first task is to Plan releases. We can select any release by clicking  it. Each release needs to be linked to requirements. We can click the Add button in the Link Requirements section to open the Link Requirements window as shown below. A single release may have one or more builds.

Python tutorial 19 | Classes and Instance Objects

This is the last tutorial in the Python Tutorials for Beginners. This Python beginner tutorial explains Python classes and Python objects. Please view the Python video tutorial 19 or read on... What is class in Python programming? A class is a template or a pattern to create objects. Python classes support object-oriented programming. A Python class has class attributes. Also, a Python class can be updated after it's definition. The objects created from a Python class are called instance objects. The Python class syntax is:

class ClassName:
  class body

In the above class format, the Python keyword class is followed by the name of the class, then a colon and then one or more Python statements. Now, let us see Python class examples.

# Python code
class Tree:
    """A class that represents a tree""" # doc string - optional
    species = 'Pine' # class attribute - data attribute
    def describe_me (self): # class attribute - class method
        return 'this is a tree'

# print the data attribute of the Tree class i.e. print 'Pine'
print (Tree.species)
# print the documentation string of the Tree class
print (Tree.__doc__)
# update the Python class (after class definition)
Tree.species = 'Aspen'
print (Tree.species)

# class instantiation i.e. create objects
tree1 = Tree()
# note that there is no need to provide the self argument when calling the class method, describe_me()
print (tree1.describe_me(), 'of species', tree1.species)
# find out if tree1 is an object of the class Tree or not
print (isinstance(tree1, Tree))

Python tutorial 18 | Dictionaries

Moving on to the next tutorial in the Python Tutorials for Beginners. This Python beginner tutorial explains the dictionary data structure. Please view the Python video tutorial 18 or read on... What is dictionary in Python programming? It is a group of key value pairs, that may be stored in any order. The Python dictionary keys can be strings or numbers (immutable data types only). Also, each dictionary key is unique. Python dictionaries are mutable, meaning that any dictionary item may be updated. In other programming languages, dictionaries may be called associative arrays. The dictionary syntax is:

{key₀:value₀, key₁:value₁,..., key_n:value_n}

In the above  dictionary format, the key value pairs are separated by commas. The first item is key₀:value₀, the second item is key₁:value₁ and so on. The entire group of key value pairs is enclosed within curly braces. Now, let us see Python dictionary examples, Python dictionary operations and Python dictionary functions.

# Python code
num_to_words = {1:'one', 2:'two', 10:'ten', 3:'three', 5:'five'}
# print the Python dictionary (the items may be in any order)
print (num_to_words)
# print the Python dictionary item's value for the given key i.e. print 'three'
print (num_to_words[3])
# modify the Python dictionary item's value for the given key
num_to_words[1] = 'unity'
# print the updated value i.e. print 'unity'
print  (num_to_words[1])