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This document provides an overview of data types, variables, operators and expressions in Python. It discusses the core data types in Python including numbers, strings, lists, tuples and dictionaries. It also covers the differences between mutable and immutable data types. The document explains various operators in Python like arithmetic, relational, logical and bitwise operators. It describes expressions, type casting, and how to take input in Python programs.

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Data Handing in Python As per CBSE curriculum Class 11 Chapter- 3
Introduction In this chapter we will learn data types, variables, operators and expression in detail. Python has a predefined set of data types to handle the data in a program. We can store any type of data in Python.
DATA TYPES Data can be of any type like- character, integer, real, string. Anything enclosed in is considered as string in Python. Any whole value is an integer value. Any value with fraction part is a real value. True or False value specifies boolean value. Python supports following core data types- I. Numbers II. String III. List IV. Tuple V. Dictionary (int like10, 5) (float like 3.5, 302.24) (complex like 3+5i) (like pankaj, pankaj, a, a ) like [3,4,5,pankaj] its elements are Mutable. like(3,4,5,pankaj) its elements are immutable. like {a:1, e:2, I:3, o:4, u:5} where a,e,i,o,u are keys and 1,2,3,4,5 are their values.
CORE DATA TYPES Graphical View CORE DATATYPE Numbers Integer Boolean Floating Point Complex None Sequences String Tuple List Mappings Dictionary
Mutable and Immutable Types In Python, Data Objects are categorized in two types- Mutable (Changeable) Immutable (Non-Changeable) Look at following statements carefully- p = 10 q = p they will represent 10, 10, 10 r = 10 Now, try to change the values- p = 17 did the values actually change? r = 7 q =9 Answer is NO. Because here values are objects and p, q, r are their referencename. To understand it, lets see the next slide.
Variables and Values An important fact to know is- In Python, values are actually objects. And their variable names are actually their reference names. Suppose we assign 10 to a variable A. A = 10 Here, value 10 is an object and A is its reference name. 10 Reference variable Object
Variables and Values If we assign 10 to a variable B, B will refer to same object. Here, we have two variables, but with same location. Now, if we change value of B like B=20 Then a new object will be created with a new location 20 and this object will be referenced by B. 10 10 20 Reference variable Object
Mutable and Immutable Types Following data types comes under mutable and immutable types- Mutable (Changeable) lists, dictionaries and sets. Immutable (Non-Changeable) integers, floats, Booleans, strings and tuples.
Variable Internals The Type of an Object Pay attention to the following command- here 4 is an object and its class is int here a is referring to the object which is of int class.
Variable Internals The Value of an Object Pay attention to the following command- here value output is coming via print() The ID of an Object Pay attention to the following command- Here value 4 and variable a are showing same id which means 4 is an object being referenced by a thats why they are keeping same id.
Operators The symbols that shows a special behavior or action when applied to operands are called operators. For ex- + , - , > , < etc. Python supports following operators- I. Arithmetic Operator II. Relation Operator III. Identity Operators IV. Logical Operators V. Bitwise Operators VI. Membership Operators
Arithmetic Operators Python has following binary arithmetic operator - For addition + For subtraction For multiplication * For division / For quotient // For remnant % For exponent ** for ex- 2+3 will result in to 5 for ex- 2-3 will result in to -1 for ex- 2*3 will result in to 6 its result comes in fraction. for ex- 13/2 will result in to 6.5 its result comes as a whole number for ex- 13/2 will result into 6. its result comes as a whole remnant number.For ex-13/2will result into 1. it will come as per exponent value. For ex- 23 will result into 8.
Assignment Operators and shorthand Python has following assignment operator and shorthand - = a=10 , 10 will be assigned to a. += a+=5 is equal to a=a+5. -= a-=5 is equal to a=a-5. *= a*=5 is equal to a=a*5. /= a/=5 is equal to a=a/5. //= a//=5 is equal to a=a//5. %= a%=5 is equal to a=a%5. **= a**=5 is equal to a=a**5.
Relational Operators Python uses Relational operators to check for equality. These results into true or false. Relational Operator are of following types- < Less Than like a<b > Greater Than like a>b <= Less Than and Equal to like a<=b >= Greater Than and Equal to like a>=b == Equal to like a==b != not Equal to like a!=b
Identity Operators Identity operator is also used to check for equality. These expression also results into True or False. Identity Operators are of following types- is operator is not operator if a=5 and b=5 then a is b will come to True if a=5 and b=5 then a is not b will come to False Relational Operator ( == ) and Identity operator (is) differs in case of strings that we will see later.
Logical Operators Python has two binary logical operators - or operator 損 if a = True and b = False then a or b will return True. and operator 損 If a = True and b = False then a and b will return False. Python has one Unary logical operator not operator if a = True then not a will return False.
Operator Associativity In Python, if an expression or statement consists of multiple or more than one operator then operator associativity will be followed from left-to- right. In above given expression, first 7*8 will be calculated as 56, then 56 will be divided by 5 and will result into 11.2, then 11.2 again divided by 2 and will result into 5.0. *Only in case of **, associativity will be followed from right-to-left. Above given example will be calculated as 3**(3**2).
Expressions Python has following types of expression - Arithmetic Expressions like a+b, 5-4 etc. Relational Expressions like a>b, a==b etc. Logical Expressions like a>b and a>c , a or b etc. String Expressions like Pankaj + Kumar etc.
Type Casting As we know, in Python, an expression may be consists of mixed datatypes. In such cases, python changes data types of operands internally. This process of internal data type conversion is called implicit type conversion. One other option is explicit type conversion which is like- <datatype> (identifier) For ex- a=4 b=int(a) Another ex- If a=5 and b=10.5 then we can convert a to float. Like d=float(a) In python, following are the data conversion functions- (1) int ( ) (2) float( ) (3) complex( ) (4) str( ) (5) bool( )
Working with math Module of Python Python provides math module to work for all mathematical works. We need to write following statement in our program- import math output of this program will be 5.0 Toget to know functions of a module, give following command- >>>dir (math)
Taking Input in Python In Python, input () function is used to take input which takes input in the form of string. Then it will be type casted as per requirement. For ex- to calculate volume of a cylinder, program will be as- Its output will be as-

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chapter-3-engdata-handling1_1585929972520 by EasePDF.pptx

  • 1. Data Handing in Python As per CBSE curriculum Class 11 Chapter- 3
  • 2. Introduction In this chapter we will learn data types, variables, operators and expression in detail. Python has a predefined set of data types to handle the data in a program. We can store any type of data in Python.
  • 3. DATA TYPES Data can be of any type like- character, integer, real, string. Anything enclosed in is considered as string in Python. Any whole value is an integer value. Any value with fraction part is a real value. True or False value specifies boolean value. Python supports following core data types- I. Numbers II. String III. List IV. Tuple V. Dictionary (int like10, 5) (float like 3.5, 302.24) (complex like 3+5i) (like pankaj, pankaj, a, a ) like [3,4,5,pankaj] its elements are Mutable. like(3,4,5,pankaj) its elements are immutable. like {a:1, e:2, I:3, o:4, u:5} where a,e,i,o,u are keys and 1,2,3,4,5 are their values.
  • 4. CORE DATA TYPES Graphical View CORE DATATYPE Numbers Integer Boolean Floating Point Complex None Sequences String Tuple List Mappings Dictionary
  • 5. Mutable and Immutable Types In Python, Data Objects are categorized in two types- Mutable (Changeable) Immutable (Non-Changeable) Look at following statements carefully- p = 10 q = p they will represent 10, 10, 10 r = 10 Now, try to change the values- p = 17 did the values actually change? r = 7 q =9 Answer is NO. Because here values are objects and p, q, r are their referencename. To understand it, lets see the next slide.
  • 6. Variables and Values An important fact to know is- In Python, values are actually objects. And their variable names are actually their reference names. Suppose we assign 10 to a variable A. A = 10 Here, value 10 is an object and A is its reference name. 10 Reference variable Object
  • 7. Variables and Values If we assign 10 to a variable B, B will refer to same object. Here, we have two variables, but with same location. Now, if we change value of B like B=20 Then a new object will be created with a new location 20 and this object will be referenced by B. 10 10 20 Reference variable Object
  • 8. Mutable and Immutable Types Following data types comes under mutable and immutable types- Mutable (Changeable) lists, dictionaries and sets. Immutable (Non-Changeable) integers, floats, Booleans, strings and tuples.
  • 9. Variable Internals The Type of an Object Pay attention to the following command- here 4 is an object and its class is int here a is referring to the object which is of int class.
  • 10. Variable Internals The Value of an Object Pay attention to the following command- here value output is coming via print() The ID of an Object Pay attention to the following command- Here value 4 and variable a are showing same id which means 4 is an object being referenced by a thats why they are keeping same id.
  • 11. Operators The symbols that shows a special behavior or action when applied to operands are called operators. For ex- + , - , > , < etc. Python supports following operators- I. Arithmetic Operator II. Relation Operator III. Identity Operators IV. Logical Operators V. Bitwise Operators VI. Membership Operators
  • 12. Arithmetic Operators Python has following binary arithmetic operator - For addition + For subtraction For multiplication * For division / For quotient // For remnant % For exponent ** for ex- 2+3 will result in to 5 for ex- 2-3 will result in to -1 for ex- 2*3 will result in to 6 its result comes in fraction. for ex- 13/2 will result in to 6.5 its result comes as a whole number for ex- 13/2 will result into 6. its result comes as a whole remnant number.For ex-13/2will result into 1. it will come as per exponent value. For ex- 23 will result into 8.
  • 13. Assignment Operators and shorthand Python has following assignment operator and shorthand - = a=10 , 10 will be assigned to a. += a+=5 is equal to a=a+5. -= a-=5 is equal to a=a-5. *= a*=5 is equal to a=a*5. /= a/=5 is equal to a=a/5. //= a//=5 is equal to a=a//5. %= a%=5 is equal to a=a%5. **= a**=5 is equal to a=a**5.
  • 14. Relational Operators Python uses Relational operators to check for equality. These results into true or false. Relational Operator are of following types- < Less Than like a<b > Greater Than like a>b <= Less Than and Equal to like a<=b >= Greater Than and Equal to like a>=b == Equal to like a==b != not Equal to like a!=b
  • 15. Identity Operators Identity operator is also used to check for equality. These expression also results into True or False. Identity Operators are of following types- is operator is not operator if a=5 and b=5 then a is b will come to True if a=5 and b=5 then a is not b will come to False Relational Operator ( == ) and Identity operator (is) differs in case of strings that we will see later.
  • 16. Logical Operators Python has two binary logical operators - or operator 損 if a = True and b = False then a or b will return True. and operator 損 If a = True and b = False then a and b will return False. Python has one Unary logical operator not operator if a = True then not a will return False.
  • 17. Operator Associativity In Python, if an expression or statement consists of multiple or more than one operator then operator associativity will be followed from left-to- right. In above given expression, first 7*8 will be calculated as 56, then 56 will be divided by 5 and will result into 11.2, then 11.2 again divided by 2 and will result into 5.0. *Only in case of **, associativity will be followed from right-to-left. Above given example will be calculated as 3**(3**2).
  • 18. Expressions Python has following types of expression - Arithmetic Expressions like a+b, 5-4 etc. Relational Expressions like a>b, a==b etc. Logical Expressions like a>b and a>c , a or b etc. String Expressions like Pankaj + Kumar etc.
  • 19. Type Casting As we know, in Python, an expression may be consists of mixed datatypes. In such cases, python changes data types of operands internally. This process of internal data type conversion is called implicit type conversion. One other option is explicit type conversion which is like- <datatype> (identifier) For ex- a=4 b=int(a) Another ex- If a=5 and b=10.5 then we can convert a to float. Like d=float(a) In python, following are the data conversion functions- (1) int ( ) (2) float( ) (3) complex( ) (4) str( ) (5) bool( )
  • 20. Working with math Module of Python Python provides math module to work for all mathematical works. We need to write following statement in our program- import math output of this program will be 5.0 Toget to know functions of a module, give following command- >>>dir (math)
  • 21. Taking Input in Python In Python, input () function is used to take input which takes input in the form of string. Then it will be type casted as per requirement. For ex- to calculate volume of a cylinder, program will be as- Its output will be as-