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Python - Recursive Function Recursive function means the function call themselves within the function body until a certain condition is matched then this function is recursive function. For example:-  def fact(n):      if n==0 or n==1:           return 1      else:           return n*fact(n-1) print(fact(8)) Output:- 40320 This is the example of recursive function. In this program we create a function named as fact and we call this function within the same function. How this program works? We give the value of n is 8 so n=8. In the first if condition, 8 is not equal to 0 and 1 so it goes to the else part in the else part the sentence is return n*fact(n-1) that means 8*fact(7) now here value of n become 7 to find fact(7) again same procedure repeat up to fact(1).   Because fact(1)=1   we give this condition. Then  fact(2) => 2*fact(1) =>  2*1 =>  2   ...

Function In Python Function is a block of code which perform particular task. The function only runs when it is called. You can pass data in the function using parameters.  Types Of Function:- 1) Built-in-function 2)User Defined Function 3) Recursive Function 4) Anonymus Function (lamda) In this section we will see about user defined function. Remaining types of function we will see later one by one. User Define Function     Now we see how to define function in python program. To define function in python def is the keyword followed by function name and parenthesis (). You can add any input parameters in this parenthesis.  Syntax def myfunction():          print("Hello world") Here by using def keyword we define function myfunction() as a name with parenthesis. To defining function colon is important after the parenthesis. The code inside the function must be intended as shown in syntax. Example of Function:- def myfunction():     ...

Control Flow Tools In this session we will see about control flow tools of python. 1) if Statement:- In the programming language if statement is important statement. Now we see how to write if statement in the python program. For Example:- >>> x = int(input("Please Enter an integer")) Please Enter an integer 50 >>> if x<0:      x=0      print("Negative change to zero") elif x==0: print("Zero") elif x==1: print("One") else: print("More") More >>>  Here is the program of if statement. You can add one or more elif part in the program. else part is the optional.      In the program we take the value of x is 50. In the if statement we write x<0 condition which is false because 50 is not less than 0 so it will go to the next part of the code which is first elif part, here we give condition x==0 this condition is also false so it will go to the second elif part which is x==1 this condition is also f...

Data Type Of Python  In this session we will see last data type of python which is Tuple. 5) Tuple:- Tuple is a ordered collection of immutable datatype, tuples are quite similar to lists but difference is list are mutable where as tuple are immutable. Empty tuple:-  t = () or tuple() Tuple with single element:- t = (10,) Tuple with multiple element:- t1 = ( 10, 20, 30, 'Hello' ) Nested tuple:-  t1 = ( 10, 20, 30, 'Hello' ) p = t2, 30, 40, 50 print(p) => ((10, 20, 30, 'Hello'), 30, 40, 50) Methods of Tuple:-   count(value):- It return the count of value if the value is present in the tuple else it return 0. For example:- t = (10, 20, 30, 'Hello') t.count(10) => 1  t.count(50) => 0 index(value,start,end):- It return the index number if the value is present in the tuple, otherwise it raised value error. For example:- t = (10, 20, 30, 'Hello') t.index(10) => 0 It return the index number of value 10. Prev Topic   Next Topic

Data Type Of Python In this session we will see the new data type of python which is Dictionary. 4) Dictionary:- Dictionary is a unordered collection of mutable data type. It contains key value pair enclosed in curly braces {}. Dictionary are hashable by keys. Dictionary keys should be unique and key should be immutable. That means we can use string, tuple, frozenset as a dictionary key but not list, dictionary, or other mutable types. Empty dictionary:-  D = {} Dictionary with multiple elements:- D = { 'a':10, 'b':20, 'c':30 } Here the part before colon is the key and the part after colon is value like this dictionary has key value pair. Iteration:-  D = { 'a':10, 'b':20, 'c':30 } For i in D:        print(i) => 'a'      'b'      'c' In the dictionary only keys are hashable not values therefor when you iterate dictionary you get only keys. Hashable:-  Dictionary are hashable by keys. For example:- D = { 'a...

Data Type Of Python In this section we will see new data type which is Sets. 3) Sets:- Set object is an unordered collection of distinct unhashable object. The common user include membership test removing duplicate from a sequence and computing mathematical operation such as intersection, union, differences etc.     Being an unordered collection set do not record element position or order of insertion. Accordingly set do not support indexing, slicing, stepping or other sequence like behavior.      We declare a set by using curly braces {}. Note:- Set can only store immutable data. Empty set:-  S = set() Set with multi element:- S = {10, 'Hi', (10, 20)} Membership:- print(10 in S) => True print(20 in S) => False Iteration:- for i in S:       print(i)  => 10       'Hi'       (10,20) Type casting:- S = "Programming" S2 = set(S) print(S2) => {'p', 'r', 'o', 'g', 'a', 'm', 'i', 'n'} In the ...

Data Type Of Python I n the last session we discus about what is the data type of python. And we see List data type. In this session we s ee the next data type String.     2) String- String is a ordered collection of immutable data type. String are iterable and hashable. Strings are always declared in single or double quotes.  Single line string:- S = "Python" Multi line string:- S = """ Line 1             Line 2             Line 3 """ Iterable:- S= "Program" for i in S:       print(i) Output:-  P  r  o  g  r  a  m Membership:-  print( 'p' in S) => True print( 'P' not in S) => False Methods of string:- capitalize() :-  It return the capitalize version of the string. More specifically it make the first character have uppercase and rest lowercase. For example:- S = "hello World" print(S.capitalize()) => "Hello world" count(substring, start,en...