![To Access characters of String
String1 = “Python"
print("Initial String: ")
print(String1)
print("nFirst character of
String is: ")
print(String1[0])
Output-
Initial String:
Python
Output-
First character
of String is: P](https://image.slidesharecdn.com/datatypesinpython-210523130554/85/Data-types-in-python-12-320.jpg)
![It is a heterogeneous collection of items of varied
data types. For Ex, a list object can store files in a
folder or the employee data in a company etc.
Ex- List=[1,2,3,4]
O/P-List=[“Annu”, ”Mini”, 33, 44]
//Heterogeneous collection of items](https://image.slidesharecdn.com/datatypesinpython-210523130554/85/Data-types-in-python-15-320.jpg)
![A dictionary in Python is an unordered collection of key-value pairs.
Accessing values
Print(Dict1[Roll_No])
// output Dict1[Roll_No]) : 101
Print(Dict1[‘Name’])
// output Dict1[‘Name’]) : Kajal
Ex- Dict1= {
“Roll_No” : 101
“Name” : “Kajal”,
“Caste” : “Soni”,
“Class” : 12
}](https://image.slidesharecdn.com/datatypesinpython-210523130554/85/Data-types-in-python-19-320.jpg)
Data types in python
- 2. Data types Number Sequence None Set Integer Float Complex String Tuple List Dictionary
- 3. Number data types store numeric values. They are immutable data types, means that changing the value of a number data type results in a newly allocated object.
- 4. There are three numeric types to present numbers- Integer Float Complex 1 2 3
- 5. An integer is a whole number with no decimal places. For example, 1 is an integer, but 1.0 isn’t. The name for the integer data type is int. Ex- type(1) <class 'int'>
- 6. A floating-point number, or float for short, is a number with a decimal place. 1.0 is a floating-point number, as is -2.75. Ex- type(1.0) <class 'float'>
- 7. complex fare of the form a + bJ, where a and b are floats and J (or j) represents the square root of -1 (which is an imaginary number). The real part of the number is a, and the imaginary part is b. Complex numbers are not used much in Python programming. Ex- type(1+2j) <class 'float'>
- 8. The None keyword is used to define a null value, or no value at all. None is not the same as 0, False, or an empty string. None is a data type of its own (NoneType) and only None can be None.
- 9. x = None if x: print("Do you think None is True?") elif x is False: print ("Do you think None is False?") else: print("None is not True, or False, None is just None...") Output-None is not True, or False, None is just None...
- 10. Sequences allow you to store multiple values in an organized and efficient fashion
- 11. String are arrays of bytes representing Unicode characters. A string is a collection of one or more characters put in a single quote, double- quote or triple quote. In python there is no character data type, a character is a string of length one. It is represented by str class.
- 12. To Access characters of String String1 = “Python" print("Initial String: ") print(String1) print("nFirst character of String is: ") print(String1[0]) Output- Initial String: Python Output- First character of String is: P
- 13. A tuple is also a heterogeneous collection of python objects seperated by commas .It means object of different data types can consist of tuple. Ex- first_tuple=(2,3,4,6)
- 14. Python has two built-in methods that you can use on tuples. Count()- Returns the number of times a specified value occurs in a tuple. Index()- Searches the tuple for a specified value and retuns the position of where it was found.
- 15. It is a heterogeneous collection of items of varied data types. For Ex, a list object can store files in a folder or the employee data in a company etc. Ex- List=[1,2,3,4] O/P-List=[“Annu”, ”Mini”, 33, 44] //Heterogeneous collection of items
- 16. Insert() Remove() Count() Clear() Add an element at the specified position Removes the fist item with the specified value. Returns the number of elements with the specified value. Removes all the elements from the list.
- 17. A set is an unordered collection of unique and immutable objects. Its definition starts with enclosed braces {} having its items separated by commas inside. Creating a set- Set1={“BMW”, “Ferrari”, “Tesla”, “Ford”, ”Honda”} Set2={Honda”,”Yamaha”,”Kawasaki”,20,40}
- 18. Union()- Return a set that contatins all items from both sets, duplicates are excluded. Intersection()- The intersection() method returns a set that contains the similarity between two or more sets. Difference()- Return the difference two sets which is also a set. Issubset()- The issubset() method returns True if all items in the items in the set exists in the specidied set, otherwise it return false.
- 19. A dictionary in Python is an unordered collection of key-value pairs. Accessing values Print(Dict1[Roll_No]) // output Dict1[Roll_No]) : 101 Print(Dict1[‘Name’]) // output Dict1[‘Name’]) : Kajal Ex- Dict1= { “Roll_No” : 101 “Name” : “Kajal”, “Caste” : “Soni”, “Class” : 12 }
- 20. Get()-Returns the value of the specified key. Update()- Updates the dictionary with the specified key-vlaue pairs. Pop()- Removes the element with the specified key. Copy()- Returns a copy of the dictionary.