Data types in Python - Complete notes with examples

table of contents 1. Data Types in Python 2. Numeric Types: Integer, Float, Complex 3. Sequence Types: String, List, Tuple 4. Set and Dictionary 5. Understanding Indexing 6. Comparing and Merging Sets 7. Dictionaries and Key-Value Pair 8. Modifying Key-Value Pairs in Dictionaries 9. Deleting Key-Value Pairs from Dictionaries 10. Managing Data Types in Python fundamental terms and their significance in Python statistics are listed: Population: In a statistical study, a population is the total set of people or items of interest. A sample is a portion of the population chosen to serve as a representative sample of the entire population. Variable: A variable is an attribute of a person or thing that has the capacity to assume several values. Data: In a statistical investigation, data are the values of variables that are gathered. Parameter: A parameter is a number that characterizes a population feature. A statistic is a figure that expresses a feature of a sample through numbers. Probability: The possibility that something will happen is known as probability. Distribution: A function that characterizes a distribution. Data Types in Python - Dictionaries Modifying Key-Value Pairs in Dictionaries • To modify a value in a dictionary, you can simply assign a new value to the key: my_dict = {'key': 'value'} my_dict['key'] = 'new value' • To add a new key-value pair to a dictionary, you can simply assign a value to a new key: my_dict = {'key': 'value'} my_dict['new_key'] = 'new value' • To update the value of a key-value pair in a dictionary using another dictionary, you can use the update() method: dict1 = {'key1': 'value1'} dict2 = {'key2': 'value2'} e(dict2) Deleting Key-Value Pairs from Dictionaries • To delete a key-value pair from a dictionary, you can use the del keyword: my_dict = {'key': 'value'} del my_dict['key'] • To delete all the key-value pairs from a dictionary, you can use the clear() method: my_dict = {'key': 'value'} my_()