Python Programming Training Certification
Flexible Hours
100 Assignments
Instructor Led online Training
50 LMS Access
24X7 Support
100% Skill Level
Enquire Now
Course Overview
Python is one of the world’s top programming languages used today and Python training has become the most popular training across individuals. Training Basket’s Python Training & Certification course covers basic and advanced Python concepts and how to apply them in real-world applications.Python is a flexible and powerful open-source language that is easy to learn and consists of powerful libraries for data analysis and manipulation. Our Python training course content is curated by experts as per the standard Industry curriculum. The curriculum, coding challenges and real-life problems cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django. Take this Python training and certification course and become job-ready now.
Python Dictionary
- Keys must be a single element.
- Value can be any type such as list, tuple, integer, etc.
In other words, we can say that a dictionary is the collection of key-value pairs where the value can be any Python object. In contrast, the keys are the immutable Python object, i.e., Numbers, string, or tuple.
The dictionary can be created by using multiple key-value pairs enclosed with the curly brackets {}, and each key is separated from its value by the colon (:).The syntax to define the dictionary is given below.
Syntax:
- Dict = {“Name”: “Tom”, “Age”: 22}
In the above dictionary Dict, The keys Name and Age are the string that is an immutable object.
Let’s see an example to create a dictionary and print its content.
-
Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
print(type(Employee))
print(“printing Employee data …. “)
print(Employee)
Output:
-
Printing Employee data ….
{‘Name’: ‘John’, ‘Age’: 29, ‘salary’: 25000, ‘Company’: ‘GOOGLE’}
Python provides the built-in function dict() method which is also used to create dictionary. The empty curly braces {} is used to create empty dictionary.
-
# Creating an empty Dictionary
Dict = {}
print(“Empty Dictionary: “)
print(Dict)# Creating a Dictionary
# with dict() method
Dict = dict({1: ‘Java’, 2: ‘T’, 3:’Point’})
print(“\nCreate Dictionary by using dict(): “)
print(Dict)# Creating a Dictionary
# with each item as a Pair
Dict = dict([(1, ‘Devansh’), (2, ‘Sharma’)])
print(“\nDictionary with each item as a pair: “)
print(Dict)
Output:
- Empty Dictionary:
{}Create Dictionary by using dict():
{1: ‘Java’, 2: ‘T’, 3: ‘Point’}Dictionary with each item as a pair:
{1: ‘Devansh’, 2: ‘Sharma’}
Accessing the dictionary values
We have discussed how the data can be accessed in the list and tuple by using the indexing.
However, the values can be accessed in the dictionary by using the keys as keys are unique in the dictionary.
The dictionary values can be accessed in the following way.
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
print(type(Employee))
print(“printing Employee data …. “)
print(“Name : %s” %Employee[“Name”])
print(“Age : %d” %Employee[“Age”])
print(“Salary : %d” %Employee[“salary”])
print(“Company : %s” %Employee[“Company”])
Output:
printing Employee data ….
Name : John
Age : 29
Salary : 25000
Company : GOOGLE
Python provides us with an alternative to use the get() method to access the dictionary values. It would give the same result as given by the indexing.
Adding dictionary values
The dictionary is a mutable data type, and its values can be updated by using the specific keys. The value can be updated along with key Dict[key] = value. The update() method is also used to update an existing value.
Note: If the key-value already present in the dictionary, the value gets updated. Otherwise, the new keys added in the dictionary.
Let’s see an example to update the dictionary values.
Example – 1:
- # Creating an empty Dictionary
Dict = {}
print(“Empty Dictionary: “)
print(Dict)# Adding elements to dictionary one at a time
Dict[0] = ‘Peter’
Dict[2] = ‘Joseph’
Dict[3] = ‘Ricky’
print(“\nDictionary after adding 3 elements: “)
print(Dict)# Adding set of values
# with a single Key
# The Emp_ages doesn’t exist to dictionary
Dict[‘Emp_ages’] = 20, 33, 24
print(“\nDictionary after adding 3 elements: “)
print(Dict)# Updating existing Key’s Value
Dict[3] = ‘JavaTpoint’
print(“\nUpdated key value: “)
print(Dict)
Output:
Empty Dictionary:
{}Dictionary after adding 3 elements:
{0: ‘Peter’, 2: ‘Joseph’, 3: ‘Ricky’}Dictionary after adding 3 elements:
{0: ‘Peter’, 2: ‘Joseph’, 3: ‘Ricky’, ‘Emp_ages’: (20, 33, 24)}Updated key value:
{0: ‘Peter’, 2: ‘Joseph’, 3: ‘JavaTpoint’, ‘Emp_ages’: (20, 33, 24)}
Example – 2:
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
print(type(Employee))
print(“printing Employee data …. “)
print(Employee)
print(“Enter the details of the new employee….”);
Employee[“Name”] = input(“Name: “);
Employee[“Age”] = int(input(“Age: “));
Employee[“salary”] = int(input(“Salary: “));
Employee[“Company”] = input(“Company:”);
print(“printing the new data”);
print(Employee)
Output:
Empty Dictionary:
{}Dictionary after adding 3 elements:
{0: ‘Peter’, 2: ‘Joseph’, 3: ‘Ricky’}Dictionary after adding 3 elements:
{0: ‘Peter’, 2: ‘Joseph’, 3: ‘Ricky’, ‘Emp_ages’: (20, 33, 24)}Updated key value:
{0: ‘Peter’, 2: ‘Joseph’, 3: ‘JavaTpoint’, ‘Emp_ages’: (20, 33, 24)}
The items of the dictionary can be deleted by using the del keyword as given below.
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
print(type(Employee))
print(“printing Employee data …. “)
print(Employee)
print(“Deleting some of the employee data”)
del Employee[“Name”]
del Employee[“Company”]
print(“printing the modified information “)
print(Employee)
print(“Deleting the dictionary: Employee”);
del Employee
print(“Lets try to print it again “);
print(Employee)
Output:
printing Employee data ….
{‘Name’: ‘John’, ‘Age’: 29, ‘salary’: 25000, ‘Company’: ‘GOOGLE’}
Deleting some of the employee data
printing the modified information
{‘Age’: 29, ‘salary’: 25000}
Deleting the dictionary: Employee
Lets try to print it again
NameError: name ‘Employee’ is not defined
The last print statement in the above code, it raised an error because we tried to print the Employee dictionary that already deleted.
- Using pop() method
The pop() method accepts the key as an argument and remove the associated value. Consider the following example.
- # Creating a Dictionary
Dict = {1: ‘JavaTpoint’, 2: ‘Peter’, 3: ‘Thomas’}
# Deleting a key
# using pop() method
pop_ele = Dict.pop(3)
print(Dict)
Output:
- {1: ‘JavaTpoint’, 2: ‘Peter’}
Python also provides a built-in methods popitem() and clear() method for remove elements from the dictionary. The popitem() removes the arbitrary element from a dictionary, whereas the clear() method removes all elements to the whole dictionary.
Iterating Dictionary
A dictionary can be iterated using for loop as given below.
Example 1
# for loop to print all the keys of a dictionary
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
for x in Employee:
print(x)
Output:
- Name
Age
salary
Company
Example
#for loop 2to print all the values of the dictionary
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
for x in Employee:
print(Employee[x])
Output:
- John
29
25000
GOOGLE
Example – 3
#for loop to print the values of the dictionary by using values() method.
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
for x in Employee.values():
print(x)
Output:
- John
29
25000
GOOGLE
Example 4
#for loop to print the items of the dictionary by using items() method.
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”}
for x in Employee.items():
print(x)
Output:
- (‘Name’, ‘John’)
(‘Age’, 29)
(‘salary’, 25000)
(‘Company’, ‘GOOGLE’)
- In the dictionary, we cannot store multiple values for the same keys. If we pass more than one value for a single key, then the value which is last assigned is considered as the value of the key.
Consider the following example.
- Employee={“Name”:”John”,”Age”:29,”Salary”:25000,”Company”:”GOOGLE”,”Name”:”John”}
for x,y in Employee.items():
print(x,y)
Output:
- Name John
Age 29
Salary 25000
Company GOOGLE
- In python, the key cannot be any mutable object. We can use numbers, strings, or tuples as the key, but we cannot use any mutable object like the list as the key in the dictionary.
Consider the following example.
- Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”,[100,201,301]:”Department ID”}
for x,y in Employee.items():
print(x,y)
Output:
- Traceback (most recent call last):
File “dictionary.py”, line 1, in
Employee = {“Name”: “John”, “Age”: 29, “salary”:25000,”Company”:”GOOGLE”,[100,201,301]:”Department ID”}
TypeError: unhashable type: ‘list’
Built-in Dictionary functions
The built-in python dictionary methods along with the description are given below.
| SN | Function | Description |
|---|---|---|
| 1 | cmp(dict1, dict2) | It compares the items of both the dictionary and returns true if the first dictionary values are greater than the second dictionary, otherwise it returns false. |
| 2 | len(dict) | It is used to calculate the length of the dictionary. |
| 3 | str(dict) | It converts the dictionary into the printable string representation. |
| 4 | type(variable) | It is used to print the type of the passed variable. |
Built-in Dictionary methods
The built-in python dictionary methods along with the description are given below.
| SN | Method | Description |
|---|---|---|
| 1 | dic.clear() | It is used to delete all the items of the dictionary. |
| 2 | dict.copy() | It returns a shallow copy of the dictionary. |
| 3 | dict.fromkeys(iterable, value = None, /) | Create a new dictionary from the iterable with the values equal to value. |
| 4 | dict.get(key, default = “None”) | It is used to get the value specified for the passed key. |
| 5 | dict.has_key(key) | It returns true if the dictionary contains the specified key. |
| 6 | dict.items() | It returns all the key-value pairs as a tuple. |
| 7 | dict.keys() | It returns all the keys of the dictionary. |
| 8 | dict.setdefault(key,default= “None”) | It is used to set the key to the default value if the key is not specified in the dictionary |
| 9 | dict.update(dict2) | It updates the dictionary by adding the key-value pair of dict2 to this dictionary. |
| 10 | dict.values() | It returns all the values of the dictionary. |
| 11 | len() | |
| 12 | popItem() | |
| 13 | pop() | |
| 14 | count() | |
| 15 | index() |
Recently Trained Students
Jessica Biel
– Infosys
My instructor had sound Knowledge and used to puts a lot of effort that made the course as simple and easy as possible. I was aiming for with the help of the ZebLearn Online training imparted to me by this organization.
Richard Harris
– ITC
I got my training from Zeblearn in the Python Certification Training, I would like to say that say he is one of the best trainers. He has not even trained me but also motivated me to explore more and the way he executed the project, in the end, was mind-blowing.
Candidate’s Journey During Our Training Program
Expert’s Advice & Selection of Module
Choosing the right type of module for the training is half the battle & Our Team of experts will help & guide you.
Get Trained
Get Trained & Learn End to End Implementation from our Expert Trainer who are working on the same domain.
Work on Projects
We Do make our student’s work on multiple case studies , scenario based tasks & projects in order to provide real-time exposure to them.
Placements
We have a dedicated placement cell in order to provide placement assistance & relevant interviews to our candididates till selection
Placement Partner
