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    • Data Preprocessing in Machine Learning| Li...   2. Confusion Matrix in Machine Learning, ML, AI    • Confusion Matrix in Machine Learning, ML, AI   3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz    • Anaconda | Python Installation | Spyder | ...   4. Cross Validation, Sampling, train test split in Machine Learning    • Cross Validation | Sampling | train test s...   5. Drop and Delete Operations in Python Pandas    • Drop and Delete Operations in Python Pandas   6. Matrices and Vectors with python    • Matrices and Vectors with python   7. Detect Outliers in Machine Learning    • Detect Outliers in Machine Learning   8. TimeSeries preprocessing in Machine Learning    • TimeSeries preprocessing in Machine Learning   9. Handling Missing Values in Machine Learning    • Handling Missing Values in Machine Learning   10. Dummy Encoding Encoding in Machine Learning    • Label Encoding, One hot Encoding, Dummy En...   11. Data Visualisation with Python, Seaborn, Matplotlib    • Data Visualisation with Python, Matplotlib...   12. Feature Scaling in Machine Learning    • Feature Scaling in Machine Learning   13. Python 3 basics for Beginner    • Python | Python 3 Basics | Python for Begi...   14. Statistics with Python    • Statistics with Python   15. Sklearn Scikit Learn Machine Learning    • Sklearn Scikit Learn Machine Learning   16. Python Pandas Dataframe Operations    • Python Pandas Dataframe Operations   17. Linear Regression, Supervised Machine Learning    • Linear Regression | Supervised Machine Lea...   18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics    • Interview Question for Machine Learning, D...   19. Jupyter Notebook Operations    • Jupyter and Spyder Notebook Operations in ...   20. Logistic Regresion in Machine Learning, Data Science    • Logistic Regression | Classification | Mac...   21. Learn Microsoft Excel Basics    • Microsoft Excel 2019, 2016, 2013, 2010, 2007