Python Dictionary || Python for beginners || Python Programming

This video tutorial explains the complete comcepts of python dictionaries explained in Part 1, Part 2, and Part 3.

Watch complete video to enhance your understanding of Python dictionaries with this complete video tutorial

🧠 What You'll Learn

This video serves as a complete revision and summary of all key concepts covered in our Python Dictionary series (Parts 1, 2, and 3). Ideal for beginners looking to reinforce their understanding.

• What is a dictionary in Python?
• Creating, accessing, and modifying key-value pairs
• Using built-in methods like get(), pop(), and setdefault()
• Dictionary comprehension and sorting
• Nested dictionaries and common use cases

📽️ Video Walkthrough

This all-in-one video brings together everything you’ve learned about Python dictionaries. It recaps syntax, usage, methods, and real-world examples — all explained in Hindi for beginner-friendly learning. If you watched the earlier parts, this is the perfect video to consolidate your skills.

• Full walkthrough of dictionary creation and operations
• Real coding examples to demonstrate each concept
• Mini challenges to test your understanding

✅ Key Takeaways

• Python dictionaries are powerful and versatile for structured data.
• Key-value pairs allow for fast and meaningful data access.
• Mastering methods like get(), items(), and setdefault() boosts productivity.
• This complete guide prepares you for more advanced data structures.

Python Dictionary Part-3

🧠 What You'll Learn

In Part 3 of our Python Dictionaries series, we'll dive deeper into advanced dictionary features and practical use cases to help you master dictionary handling in Python.

• Dictionary comprehension for creating dictionaries efficiently
• Using setdefault() method
• Sorting dictionaries by keys or values
• Working with immutable keys and hashability
• Common pitfalls and best practices

📽️ Video Walkthrough

This video tutorial guides you through advanced dictionary operations with clear examples. You'll learn how to use dictionary comprehensions to write concise code, explore the setdefault() method to simplify value insertion, and see techniques for sorting dictionaries. We also discuss why keys must be immutable and share tips to avoid common mistakes.

• Creating dictionaries using comprehensions
• Using setdefault() to manage missing keys
• Sorting dictionaries by keys and values
• Understanding immutable keys and hashability
• Best practices and debugging tips

✅ Key Takeaways

• Dictionary comprehensions offer a clean and efficient way to create dictionaries.
• setdefault() simplifies inserting default values without extra checks.
• Sorting dictionaries requires understanding keys and values distinction.
• Keys must be immutable (like strings, numbers, tuples) to be valid dictionary keys.
• Following best practices helps avoid bugs and improves code readability.

Dictionaries in Python

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Python Dictionaries:

Dictionaries are python data structures which store the data in key-value pairs. These are like Maps in other similar programming languages.

Dictionaries are not ordered unlike strings, Lists and Tuples.

Keys uniquely define the items in a python dictionary. So duplicate keys are not allowed.

Keys are unique but values are not.

Keys must be of immutable types like strings, numbers and tuples.

Dictionary can contain any type of values.



Creating a Dictionary :

Each key is separated from its value by a colon(:)

The items are separated by commas

All the above paired items are enclosed in curly braces.

watch video below to demonstrate python dictionaries: 

Empty Dictionary:
       An empty dictionary without any item is created with just two curly braces.{}

Example:

              

Dictionary containing items: (create and display)




Accessing values from Dictionary:

Values can be accessed  using square brackets along with the key to obtain its value.

Example:



Both the print commands produces the corresponding values with keys "Name" and "Age".

If we attempt to access the data item which is not present in dictionary, we'll get error as





Updating Dictionary :

Dictionary can be updated by adding a new entry or a Key-Value pair, modifying an existing entry or deleting an existing entry :
Example:

In the above code the key 'Age' has the updated value from 25 to 16.

Also, there is a new entry where key is 'Department' with the value 'Finance'.(see Highlighted)


Deleting Dictionary Element

You can delete either an individual item or entire content of a dictionary.

Entire dictionary can also be deleted in a single operation.

Example 1:


If we now want to print the items, An exception is raised because after the command del dict, dictionary does not  exist.

Example 2:




 Properties of Dictionary Keys:

1. More than one entry per key is not allowed i.e duplicate keys are not allowed. When duplicate keys are assigned, only the last assigned (latest) key exists.

2. Keys must be immutable. i.e you can use strings, numbers and Tuples as dictionary keys . others are not allowed.



Built-in Dictionary functions:

1.  cmp : compares elements of both dict.

             cmp ( dict1 , dict2)

2.   len: Gives total length or the total number of elements in the dictionary.

             len(dict)

3.   str: produces a printable string representation of a dictionary.

            str(dict)

4.  type (variable) - returns the type of passed variable . If passed variable is dictionary, then it returns dictionary type.



Dictionary Methods:

Python uses following dictionary methods:

1.    dict.clear( )

2.    dict.copy( )

3.    dict.fromkeys( )

4.    dict.get(key, default = None)

5.    dict.has_key(key)

6.    dict.items( )

7.    dict.keys()

8.    dict.setdefault(key, default=None)

9.    dict.update(dict2)

10.  dict.values()

Next : Python Sets 

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