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# create an empty dictionary
empty_property = dict()

# create dictionary using a list of key-value tuples
job2 = dict([
  ("title","Marketing & Business Development Manager"),("location","Mombasa"),
  ("job_type","Full Time"),
  ("employer","KUSCCO Limited (Kenya Union of Savings & Credit Co-operatives Limited)"),
  ("category","Marketing & Communications")
])

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# Using keyword arguments
dict(
  title="Marketing & Business Development Manager",
  location="Mombasa",job_type="Full Time",
  employer="KUSCCO Limited (Kenya Union of Savings & Credit Co-operatives Limited)",
  category="Marketing & Communications"
)

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# Check existence of title
"title" in job2 # returns True

"salary" in job2 # returns False

# Using key indexing
job2["title"] # return 'Marketing & Business Development Manager'

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# Using get() method
job2.get("title") # return 'Marketing & Business Development Manager'

job2.get("salary") # return None

# Passing a second argument to get()
job2.get("salary", 5000) # return 5000

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# Adding a new entry for salary using the index
job2["salary"] = 10000

# Modifying the entry for job_type using the index
job2["job_type"] = "Part time"

# Modifying the salary entry using update
job2.update({"salary":20000})

# Adding the available entry using update

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extra_info = {
  "verified":True,
  "qualification":"Undergraduate Degree",
  "taxable":True}

# Merge extra_info with job2
job2.update(extra_info)

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del job2["salary"]
del job2["available"]
print(job2) #return a dictionary without 'salary' and 'available' entries

job1.clear()
print(job1) #return an empty dictionary

del job1
print(job1) # return NameError

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# Iterating through the dictionary itself
for x in job2:
    print(x) # prints the keys of job2
    
# Using keys()
for key in job2.keys():
    print(key) # prints the keys of job2
    
# Using values()
for val in job2.values():

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with open('jobs.csv','r') as csv_file:
    reader = csv.DictReader(csv_file)
    for job in reader:
        
        # Using sorted() to sort a dictionary's items on the keys
        for key,val in sorted(job.items(),key=lambda item:item[0]):
        
            # Apply any additional processing
            print(key, val) #print the keys and values of each job