<\/p>\n

\n
• Literals are a notation for representing a fixed value in source code and it can be defined as raw value or data given in variables or constants.<\/li>\n<\/ul>\n

  String Literals<\/strong><\/h2>\n

  \n
  • A string literal can be created by writing a text with a group of characters surrounded by the single (\u2018), double (\u201c) or triple quotes.<\/li>\n
  • We can write multi-line strings or display in the desired way by using triple quotes.<\/li>\n<\/ul>\n

    Sample Code<\/strong><\/h3>\n

    <\/div>

    # string literals# in single quotes = 'Welcome to Wikitechy'# in double quotest = "Welcome to Wikitechy"# multi-line Stringm = '''Welcome\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 to\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Wikitechy'''print(s)print(t)print(m)<\/code><\/pre> <\/div>\n
    Output<\/strong><\/h3>\n
    <\/p>\n
    Numeric Literals<\/strong><\/h2>\n
    \n
    They are immutable and it consists of three data types, they are Integer, Float, Complex.<\/li>\n
    In integer both positive and negative numbers including 0 and it should not take any fractional part.<\/li>\n
    Float data type are real numbers having both integer and fractional part.<\/li>\n<\/ul>\n
    Sample Code<\/strong><\/h3>\n
     
     <\/div> 
    # integer literal# Binary Literalsa = 0b10100# Decimal Literalb = 30# Octal Literalc = 0o320# Hexadecimal Literald = 0x12bprint(a, b, c, d)<\/code><\/pre> <\/div>\n
    Output<\/strong><\/h3>\n
    <\/p>\n
    Boolean Literals<\/strong><\/h2>\n
    \n
    In python there are only two Boolean literals they are true and false.<\/li>\n<\/ul>\n
    Sample Code<\/strong><\/h3>\n
     
     <\/div> 
    x = (1 == True)y = (2 == False)z = (3 == True)r = (1 == True)a = True + 10b = False + 10print("x is", x)print("y is", y)print("z is", r)print("a:", a)print("b:", b)<\/code><\/pre> <\/div>\n
    Output<\/strong><\/h3>\n
    <\/p>\n
    Literal Collections<\/strong><\/h2>\n
    \n
    In this there are four different types of literal collections, they are Lis literals, Tuple literals, Dict literals, Set literals.<\/li>\n
    In list literals the values are stored separated by comma (,) and enclosed within square brackets ([ ]).<\/li>\n
    Tuple literals are enclosed by the parentheses \u2018()<\/strong>\u2018 and each element is separated by the comma(,) and it is immutable.<\/li>\n
    Dictionary literals is enclosed by curly-braces \u2018{}<\/strong>\u2018 and each pair is separated by the commas(,).<\/li>\n
    Set literals is the collection of the unordered data set and enclosed by the {} and each element is separated by the comma (,).<\/li>\n<\/ul>\n
    Sample Code<\/strong><\/h3>\n
     
     <\/div> 
    # Tuple literalseven_number = (2, 4, 6, 8)odd_number = (1, 3, 5, 7)print(even_number)print(odd_number)<\/code><\/pre> <\/div>\n
    Output<\/strong><\/h3>\n
    <\/p>\n
    Special Literals<\/strong><\/h2>\n
    \n
    Python contains one special literal where \u2018None\u2019 is used to define a null variable.<\/li>\n
    If\u00a0\u2018None\u2019\u00a0<\/strong>is compared with anything else other than a\u00a0\u2018None\u2019<\/strong>, it will return\u00a0false<\/strong>.<\/li>\n<\/ul>\n
    Sample Code<\/strong><\/h3>\n
     
     <\/div> 
    # Special literalswater_remain = Noneprint(water_remain)<\/code><\/pre> <\/div>\n
    Output<\/strong><\/h3>\n
    <\/p>\n","protected":false},"excerpt":{"rendered":"
    Literals are a notation for representing a fixed value in source code and it can be defined as raw value or data given in variables or constants. String Literals A string literal can be created by writing a text with a group of characters surrounded by the single (\u2018), double (\u201c) or triple quotes. We […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"passster_activate_protection":false,"passster_protect_child_pages":"","passster_protection_type":"password","passster_password":"","passster_activate_overwrite_defaults":"","passster_headline":"","passster_instruction":"","passster_placeholder":"","passster_button":"","passster_id":"","passster_activate_misc_settings":"","passster_redirect_url":"","passster_hide":"no","passster_area_shortcode":"","gtb_hide_title":false,"gtb_wrap_title":false,"gtb_class_title":"","gtb_remove_headerfooter":false,"footnotes":""},"categories":[5608],"tags":[18226,18222,18219,18231,18223,18224,18220,18225,18221,18230,18229,18227,18228],"class_list":["post-4710","post","type-post","status-publish","format-standard","hentry","category-python","tag-boolean-literals-in-python","tag-difference-between-literals-and-data-types-in-python","tag-literals-in-python","tag-literals-in-python-meaning","tag-special-literals-in-python","tag-string-literals-in-python","tag-types-of-literals-in-python-with-example","tag-types-of-numeric-literals-in-python","tag-what-are-literals","tag-what-are-literals-in-python-how-many-types-of-literals-in-python","tag-what-are-the-literals-in-python","tag-what-do-you-mean-by-python-literals","tag-what-is-literals-in-python-with-example"],"yoast_head":"\n