{"id":93,"date":"2019-01-10T19:18:43","date_gmt":"2019-01-10T19:18:43","guid":{"rendered":"https:\/\/kindsonthegenius.com\/python\/?p=93"},"modified":"2019-03-31T21:07:59","modified_gmt":"2019-03-31T21:07:59","slug":"04-python-data-types","status":"publish","type":"post","link":"https:\/\/www.kindsonthegenius.com\/python\/04-python-data-types\/","title":{"rendered":"Python – Data Types"},"content":{"rendered":"\r\n

The Python programming language provides a set of data types that can be used to define a variable. Memory is allocated for a variable based on the data type of the variable. This is because, data types have different sizes which is in bytes.<\/p>\r\n\r\n\r\n

\r\n\r\n\r\n

Variable Declaration<\/h4>\r\n\r\n\r\n\r\n

Python does not provide an explicit way to declare a variable. It uses implicit variable declaration. For instance in language like Java, you must declare a variable before you can assign it a value.<\/p>\r\n\r\n\r\n\r\n

In Python, the variable declaration is done automatically when a variable is assigned a value using the assignment operator (=). The examples below show variable assignment (with implicit declaration).<\/p>\r\n\r\n\r\n\r\n

# Assignment and implicit data type declaration in Python\r\nindex = 10              # An integer data type\r\ndistance = 500.05       # A floating point data type\r\nfirstname = \"Kindson\"   # A string data\r\nscores = [67,87,98,54,82] # A list data type\r\n\r\nprint(index)\r\nprint(distance)\r\nprint(firstname)<\/code><\/pre>\r\n\r\n\r\n\r\n
In the above program, index is an integer type, distance is a floating point type while firstname is a string type. If you run the above code, you will have :<\/p>\r\n\r\n\r\n\r\n
10 \r\n500.05 \r\nKindson<\/code><\/pre>\r\n\r\n\r\n
\r\n\r\n\r\n
Multiple Assignments<\/h4>\r\n\r\n\r\n\r\n
A unique feature of Python is that it allows you to assign a value to more than one variable in the same line. This is accomplished using the code below:<\/p>\r\n\r\n\r\n\r\n
x = y = z = 200\r\nscore = average = 89.9<\/code><\/pre>\r\n\r\n\r\n\r\n
In the first line three assignments was made. 200 is assigned to x, assigned to y, and assigned to z. This is equivalent to :<\/p>\r\n\r\n\r\n\r\n
x = 200\r\ny = 200\r\nz = 200<\/code><\/pre>\r\n\r\n\r\n\r\n
In the second line score is assigned a value of 89.9 and average is assigned a value of 89.9 as well<\/p>\r\n\r\n\r\n\r\n
Another way to achieve multiple assignment is to assign different values to different variables in the same. For the example below, name is assigned a value Kindson, score is assigned a value of 100 and age is assigned a value 36<\/p>\r\n\r\n\r\n\r\n
name, score, age = \"Kindson\", 100, 36<\/code><\/pre>\r\n\r\n\r\n\r\n
You simply use comma to separate the variable names and the values and then the variables are assigned receptively.<\/p>\r\n\r\n\r\n
\r\n\r\n\r\n
Python Standard Data Types<\/h4>\r\n\r\n\r\n\r\n
The Python Programming Language provided inbuilt data types which a have standard memory size associated with them. The 5 Python standard data types we are going to consider includes:<\/p>\r\n\r\n\r\n\r\n
    \r\n
  • Numbers<\/li>\r\n
  • String<\/li>\r\n
  • Lists<\/li>\r\n
  • Tuples<\/li>\r\n
  • Dictionary<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
    Numbers in Python<\/strong><\/p>\r\n\r\n\r\n\r\n
    Numbers are data types used to store numeric values. To use a number data type simply assign a number to the variable.<\/p>\r\n\r\n\r\n\r\n
    score = 89.4\r\ntotal = 200<\/code><\/pre>\r\n\r\n\r\n\r\n
    The above code create two number variables, score and total and assigns them values<\/p>\r\n\r\n\r\n\r\n
    Python provides a function to delete reference to a number variable that has been created. This is done using del keyword. For example:<\/p>\r\n\r\n\r\n\r\n
    del score\r\ndel total\r\ndel x, y, z<\/code><\/pre>\r\n\r\n\r\n\r\n
    The four different number types provided by Python are:<\/p>\r\n\r\n\r\n\r\n
      \r\n
    • int – signed or unsigned integer values<\/li>\r\n
    • long – long integers<\/li>\r\n
    • float – floating point values<\/li>\r\n
    • complex – complex numbers having a real and imaginary parts<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
      The table below give a summary of<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
      int<\/th>\r\nlong<\/th>\r\nfloat<\/th>\r\ncomplex<\/th>\r\n<\/tr>\r\n
      300<\/td>\r\n8976576L<\/td>\r\n0.45<\/td>\r\n5.56j<\/td>\r\n<\/tr>\r\n
      55<\/td>\r\n-0x29656L<\/td>\r\n45.20<\/td>\r\n63.j<\/td>\r\n<\/tr>\r\n
      -524<\/td>\r\n055L<\/td>\r\n-52.8<\/td>\r\n5.087e-24j<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n\r\n
       <\/p>\r\n\r\n\r\n
      \r\n\r\n\r\n
      Python Strings<\/h4>\r\n\r\n\r\n\r\n
      In Python, strings are identified as a set of characters enclosed in quotes, which may be either single or double quotes. Substrings of a particular string can be formed using the slice operator [ ] and [:].<\/p>\r\n\r\n\r\n\r\n
      A substring is specified with index staring from 0 for the first character of the string. A index of -1 is also used to indicate the last character on the string.<\/p>\r\n\r\n\r\n\r\n
      Two strings can be joined together using the concatenation operator (+). Strings can be repeted or multiplied using the repetition operator (*). Lets take some examples:<\/p>\r\n\r\n\r\n\r\n
      word = \"Python Programming\"\r\nprint(word)              # Prints out the entire string\r\nprint(word[0])           # Prints the first character in the string\r\nprint(word[3:6])         # Print the 4th to the 7th character\r\nprint(word[3:]           # Prints the 4th to the last character\r\nprint(word + \" Tutorial\" # Attaches Tutorial to the end of the string\r\nprint(word * 3)          # Prints the string 3 times<\/code><\/pre>\r\n\r\n\r\n
      \r\n\r\n\r\n
      Python Lists<\/p>\r\n\r\n\r\n\r\n
      Lists are part of Python collection data types. A list in Python contains different values separated by comma and enclosed in square braces []. Items in a list could be of the same or of different data types.<\/p>\r\n\r\n\r\n\r\n
      Just like in strings, individual elements of a list can be accessed using the slice operator [ ] or [ ]. Starting from the first element of the list, the index is 0. Starting from the last element, the index is -1.<\/p>\r\n\r\n\r\n\r\n
      The concatenation operator (+) and the repetition operator (*) applies in list just like in strings. The program code below illustrates the use of lists in Python.<\/p>\r\n\r\n\r\n\r\n
      list1= [ 'wxyz', 0.85, 52, '100', 780.2 ]\r\nlist2 = [999, 'Kindson']\r\n\r\nprint(list1)         # Prints whole list\r\nprint(list1[0])      # Prints first item in of the list\r\nprint(list1[1:4])     # Prints elements beginning from 2nd till 5th \r\nprint(list1[2:])     # Prints elements beginning from 3rd element\r\nprint(list2 * 2)      # Prints list twice\r\nprint(list1 + list2)  # Combines bot list1 and list2<\/code><\/pre>\r\n\r\n\r\n\r\n
      If the above code is executed, the output would be:<\/p>\r\n\r\n\r\n\r\n
      [ 'wxyz', 0.85, 52, '100', 780.2 ]\r\nwxyz\r\n[0.85, 52, '100', 780.2]\r\n[52, '100', 780.2]\r\n[999, 'Kindson'999, 'Kindson']\r\n['wxyz', 0.85, 52, '100', 780.2, 999, 'Kindson' ]<\/code><\/pre>\r\n\r\n\r\n
      \r\n\r\n\r\n
      Python Tuples<\/h4>\r\n\r\n\r\n\r\n
      Tuples in Python are similar to lists with the following two difference:<\/p>\r\n\r\n\r\n\r\n
        \r\n
      • Tuples are specified using rounded brackets (). Not square braces!.<\/li>\r\n
      • Tuples are immutable – this means that items in a tuple cannot be modified.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
        Let’s take some examples<\/p>\r\n\r\n\r\n\r\n
        tuple1= ( 'wxyz', 0.85, 52, '100', 780.2 )\r\ntuple2= (999, 'Kindson')<\/code><\/pre>\r\n\r\n\r\n\r\n
        Every other operations that apply to a list applies to a tuple. But take not that the operations below would succeed in a list but would generate an error in a tuple.<\/p>\r\n\r\n\r\n\r\n
        list1[0] = 'abcd'      # Would succeed because lists a mutable\r\ntuple1[0] = 'abcd'     # The would fail because tuples are immutable<\/code><\/pre>\r\n\r\n\r\n\r\n
         <\/p>\r\n\r\n\r\n
        \r\n\r\n\r\n
        Python Dictionary<\/h4>\r\n\r\n\r\n\r\n
        Python Dictionary are used to store key value pairs just like in a hash table. Each entry in a dictionary has a key and a value. Keys and values in a dictionary can be of any type.<\/p>\r\n\r\n\r\n\r\n
        A typical example of a dictionary in Python is the days of the week where each week day is assigned a number each corresponding to the day name. This is shown below<\/p>\r\n\r\n\r\n\r\n
        weekdays = {\r\n1: \"Monday\",\r\n2: \"Tuesday\",\r\n3: \"Wednesday\",\r\n4: \"Thursday\",\r\n5: \"Friday\",\r\n6: \"Saturday\",\r\n7: \"Sunday\"\r\n}<\/code><\/pre>\r\n\r\n\r\n\r\n
        The following operations are all valid for a dictionary in Python:<\/p>\r\n\r\n\r\n\r\n
        print(weekdays[1])       # Prints Monday\r\nprint(weekdays)          # Prints the complete dictionary\r\nprint(weekdays.keys())   # Prints all the keys, 1, 2, 3,4,5,6,7\r\nprint(weekdays.values()) # Prints all the values: Monday, . . , Sunday<\/code><\/pre>\r\n\r\n\r\n
        \r\n\r\n\r\n
        Data Type Conversion in Python<\/h4>\r\n\r\n\r\n\r\n
        Python provides functions needed to convert between the data types. For example, you may want to covert a user input in string to an integer to be able to use it for calculation. The table below gives a list of Python data type conversion functions<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
        S#<\/th>\r\nFunction and Description<\/th>\r\n<\/tr>\r\n
        1<\/td>\r\nint(x [,base])<\/strong>Converts x to an integer. Base specifies the base if x is a string.<\/td>\r\n<\/tr>\r\n
        2<\/td>\r\nlong(x [,base] )<\/strong> -Converts x to a long integer. Base specifies the base if x is a string.<\/td>\r\n<\/tr>\r\n
        3<\/td>\r\nfloat(x)<\/strong>Converts x to a floating-point number.<\/td>\r\n<\/tr>\r\n
        4<\/td>\r\ncomplex(real [,imag])<\/strong>– Creates a complex number.<\/td>\r\n<\/tr>\r\n
        5<\/td>\r\nstr(x)\u00a0–<\/strong>Converts object x to a string representation.<\/td>\r\n<\/tr>\r\n
        6<\/td>\r\nrepr(x)\u00a0–<\/strong>Converts object x to an expression string.<\/td>\r\n<\/tr>\r\n
        7<\/td>\r\neval(str)\u00a0–<\/strong>Evaluates a string and returns an object.<\/td>\r\n<\/tr>\r\n
        8<\/td>\r\ntuple(s)\u00a0–<\/strong>Converts s to a tuple.<\/td>\r\n<\/tr>\r\n
        9<\/td>\r\nlist(s)\u00a0–<\/strong>Converts s to a list.<\/td>\r\n<\/tr>\r\n
        10<\/td>\r\nset(s)\u00a0–<\/strong>Converts s to a set.<\/td>\r\n<\/tr>\r\n
        11<\/td>\r\ndict(d)\u00a0–\u00a0<\/strong>Creates a dictionary. d need to be a sequence of (key,value) tuples.<\/td>\r\n<\/tr>\r\n
        12<\/td>\r\nfrozenset(s)\u00a0–<\/strong>Converts s to a frozen set.<\/td>\r\n<\/tr>\r\n
        13<\/td>\r\nchr(x)\u00a0–\u00a0<\/strong>Converts an integer type to a character type.<\/td>\r\n<\/tr>\r\n
        14<\/td>\r\nunichr(x)\u00a0–\u00a0<\/strong>Converts an integer type to a Unicode character.<\/td>\r\n<\/tr>\r\n
        15<\/td>\r\nord(x)\u00a0–\u00a0<\/strong>Converts a single character type to its integer value.<\/td>\r\n<\/tr>\r\n
        16<\/td>\r\nhex(x)\u00a0–\u00a0<\/strong>Converts an integer type to a hexadecimal string.<\/td>\r\n<\/tr>\r\n
        17<\/td>\r\noct(x)\u00a0–\u00a0<\/strong>Converts an integer type to an octal string.<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n","protected":false},"excerpt":{"rendered":"
        The Python programming language provides a set of data types that can be used to define a variable. Memory is allocated for a variable based … <\/p>\n","protected":false},"author":395,"featured_media":287,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-93","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python-tutorials"],"yoast_head":"\nPython - Data Types - Python Tutorials<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kindsonthegenius.com\/python\/04-python-data-types\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python - Data Types - Python Tutorials\" \/>\n<meta property=\"og:description\" content=\"The Python programming language provides a set of data types that can be used to define a variable. 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Data Types - Python Tutorials","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kindsonthegenius.com\/python\/04-python-data-types\/","og_locale":"en_US","og_type":"article","og_title":"Python - Data Types - Python Tutorials","og_description":"The Python programming language provides a set of data types that can be used to define a variable. 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