Python 3 Basics # 16 | Dictionaries in Python | Python Dictionary | Working with Key-Values Pairs

Python 3 Basics # 16 | Dictionaries in Python | Python Dictionary | Working with Key-Values Pairs

0:00 Introduction
0:15 Types of Collection Data Types
0:19 Data is stored in the form of Key-Values pair
1:44 Ordered or Unordered
1:57 Dictionary are Changeable
2:13 Dictionary doesn't have Duplicates
2:41 Create a Dictionary
3:37 Define Empty Dictionary
4:11 How to get the key-values and items of a dictionary
5:00 Ways to populate/create ur dictionary
5:14 Using .get method to handle exceptions
7:54 How to add key-value to an existing Dictionary
8:10 How to add a dictionary to a dictionary
9:13 How to copy a dictionary to another dictionary
9:40 Use sorted() function on dictionary
10:53 How to delete entire dictionary
11:19 Removing specific values in a dictionary
13:21 Navigate dictionary that contains Dictionary and Lists elements
16:26 How to view the dictionary elements based on key

There are 4 collection data type in Python Programming
a. List b. Tuple c. Set d. Dictionary

In Dictionary data is stored in the form of key : value pairs.
Dictionary is ordered, changeable and doesn't allow duplicates.
As of Python 3.7 version dictionaries is ordered. In the python version 3.6 and earlier, dictionaries are unordered.
Dictionaries are written with curly bracket and it has keys followed by values.

All Playlist of this youtube channel
==============================

1. Data Preprocessing in Machine Learning

2. Confusion Matrix in Machine Learning, ML, AI

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz

4. Cross Validation, Sampling, train test split in Machine Learning

5. Drop and Delete Operations in Python Pandas

6. Matrices and Vectors with python

7. Detect Outliers in Machine Learning

8. TimeSeries preprocessing in Machine Learning

9. Handling Missing Values in Machine Learning

10. Dummy Encoding Encoding in Machine Learning

11. Data Visualisation with Python, Seaborn, Matplotlib

12. Feature Scaling in Machine Learning

13. Python 3 basics for Beginner

14. Statistics with Python

15. Sklearn Scikit Learn Machine Learning

16. Python Pandas Dataframe Operations

17. Linear Regression, Supervised Machine Learning

18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics

19. Jupyter Notebook Operations

20. Logistic Regresion in Machine Learning, Data Science

21. Learn Microsoft Excel Basics