Tokens and Data type in Python Programming

Python Programming:

In this tutorial, you will learn:-

      Token:

 

 

 

The smallest individual unit in a program is known as token in python.

There are 5 types of token available in python programming:-

1. Identifiers:-

An identifier is a name used to identify a variable, function, modules, or another object, etc.

Rules:-

* Identifiers can be a combination of letters  in lowercase(a to z) and uppercase(A to Z) or digit(0  to 9) or an underscore(_)

* Identifiers can't be stored with digit.

* Keywords can't be used as an identifier.

* Special symbol like : !, @, #, $, %,etc are use as identifiers.

* Identifier can be of any length.

2. Keyword:-

Keyword is a reserved words that have a special meaning in python programming

 * Keywords can't be used as identifiers.

* Python 3.7 has 33 keywords.

* All keywords except true, false, & name are the lower case and they must be written at it is.3.

 3. Operator:-

Operator are sign which is used to generate an expression or to perform any calculation. Python uses a nonalphanumeric character and character combination as an operator.

please visit our operator post to get more information, python operator.

For example:-   x+y=c;    ----- Airthmatic operator.

4. Delimiters:

Delimiters are the symbols and symbols combinations used in expression like list, dictionaries, string, etc.

For Example:-  {, }, [, ], :, =, +=,>>,etc

5. literals:-

A literals is a numbers or string that appears in a programming.

For example:-   

42  ---  Integer type   (literals)

29.8 ---- float 

"codeswithabhi"  -----string

12+i     --- complex

 Data type:-

  

1. None:

In this data type not any value stored means null value carries none data type.

2. Numeric:

* Integer:

In integer we have to take all values in integer data type.

For e.g:  >> abhi=10   ---int value

if we wanna confirm our data type so, you can use this function to check to check type of data type:

>> type(a)

<class'int'>

* Float:-

In this type of data type, we have to take all values in floating values (Decimal values).

For eample:      >>c=10.34  ---- Float value

If we wnna check type of data type that we takes type function :

>>Type(c)

<class'float'>

* Complex:

The complex data type holds the comples data type.

For exmple:   a=100+3k

print("type of data type",a  type(a))

<class'comple'>

* Boolean:

The boolen check the condition of two variables and also comparing two values.

For example:

>>a=10

>>b=100

>>a>b

>> False

3.  List :

In python we can create and also store data, and this data may be in integer, flaot, string, also combination of all 3 types of data type:

For Example:  >>abc[1,2,3]

        type (abc)

   <class'list'>

We discuss list in brief in our next post..

4. Tuple :

It is colllection of objects enclosed within ( ).

For example: >> a= (9,1,2)

          >>type(a)

      >> <class'tuple'>

There are some charactrstics of tuple:

* Hetrogeneous :

* Immutable :

 * Duplicate

We will discuss more in detail in our next upcomming post...

5. Set :

A set is an un oredered collection of items, Every set element is unique (no duplicates)p and cannot be changed.

For example:    >> A=(1,2,4,1,7,2)

>>print(A)

>>1,2,4,7    ----- here repeating number is avoid by set

And if we wanna check type of set:

>>Type(A)

>> <class'set'>

We discuss this topic in detail in our next upcomming post.

6. String :

The group of character is know as string. In pytho we can eaisly access string rather than another various programming language.

For example:

>> S="codeswithabhi"

Print(S)

codeswithabhi

And we can also check it by using type function

>>type(S)

<class' string'>

Learn complete Complete course

7. Range:

In other programming language we use loops and give condition to access a particular condition which is given by programmer, similary range gives a also a path, condition, and printing range.

For example:

>>Range(1,10) 

 So, in this condition interpreter print only 1 to 9.

8. Dictionary:-

Dictinary in python is an un ordered collection of data values , used to store data values like a map, for every values assign a key.

For example: 

>>d={'abhi':'codes','hello':'abhi'}

>>d.key

>>dict.key(['abhi':'codes'])  -- so here we print key

d values 

dict.values(['hello':'abhi')    ---here we print values.

Thanks for reading....

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