{"id":6745,"date":"2015-10-16T07:37:46","date_gmt":"2015-10-16T07:37:46","guid":{"rendered":"https:\/\/www.pythonforbeginners.com\/?p=6745"},"modified":"2020-08-27T09:18:15","modified_gmt":"2020-08-27T14:18:15","slug":"numeric-types-python","status":"publish","type":"post","link":"https:\/\/www.pythonforbeginners.com\/basics\/numeric-types-python","title":{"rendered":"Numeric Types in Python"},"content":{"rendered":"
In any OOP language, there are many different data types. In Python, number data types are used to store numeric values. There are four different numerical types in Python:<\/div>\n
\n
    \n
  1. int (plain integers): this one is pretty standard — plain integers are just positive or negative whole numbers.<\/li>\n
  2. long (long integers): long integers are integers of infinite size. They look just like plain integers except they’re followed by the letter “L” (ex: 150L).<\/li>\n
  3. float (floating point real values): floats represent real numbers, but are written with decimal points (or scientific notaion) to divide the whole number into fractional parts. <\/li>\n
  4. complex (complex numbers): represented by the formula a + bJ, where a and b are floats, and J is the square root of -1 (the result of which is an imaginary number). Complex numbers are used sparingly in Python. <\/li>\n<\/ol>\n<\/div>\n
     <\/div>\n
    Applying the function call operator () to a numeric type creates an instance of that type. For example: calling int(x) will convert x to a plain integer. This can also be used with the long, float, and complex types. <\/div>\n","protected":false},"excerpt":{"rendered":"

    In any OOP language, there are many different data types. In Python, number data types are used to store numeric values. There are four different numerical types in Python: int (plain integers): this one is pretty standard — plain integers are just positive or negative whole numbers. long (long integers): long integers are integers of […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[96,175],"tags":[],"class_list":{"0":"post-6745","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-basics","7":"category-code","8":"entry"},"yoast_head":"\nNumeric Types in Python - PythonForBeginners.com<\/title>\n<meta name=\"description\" content=\"Numeric Types in Python will help you improve your python skills with easy to follow examples and tutorials. 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