Python Variable Types

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Python Variable Types

More items are not a memorable place to store the value of the price. This means when creating a change and saves a little memory.

According to the nature of the transaction, the interpreter memorizes the memory and decides what to save for the memory. Therefore, by typing in different types of data and variables, you can store studies, decimals or characters in these variables.

Assessing the value of the variables

Python variables do not require clear evidence of the protection of memory space. The declaration will automatically fall when you write a variable value. The same symbol (=) is used to name the value of the variables.

The left side of the task = is the name change and the correct operation of the operator = is the value stored in the variable. For example –

#!/usr/bin/python

counter = 100          # An integer assignment
miles   = 1000.0       # A floating point
name    = "John"       # A string

print counter
print miles
print name

Here, 100, 1000.0 and “John” are the value of the swelling, the shaft, and the change, respectively. This produces the following results –

100
1000.0
John

Multiple Assignment

Python will allow you to set up a combination of unit price at the same time. For example –

a = b = c = 1

Here, the item is set to a fixed value of 1, all three variables are allocated to the same memory. You can also select several items for several variables. For example –

a,b,c = 1,2,"john"

Here, all two items with a value of 1 and 2 assigned to the variables and b respectively, and the value of the string “John” are assigned to c variable.

Standard Data Types

Data stored in memory can be many types. For example, the age of the person is stored at a high value and their address is stored in the alphanumeric format. Python has a lot of wet data used to determine how the operation can be in stores and methods.

Python has five types of data –

  • Numbers
  • String
  • List
  • Tuple
  • Dictionary

Python numbers

Types of data stored in numbers. the number of objects created when the value is recorded. For example –

var1 = 1
var2 = 10

You can also delete the reference reference by using the instructions. The word phrase came from –

del var1[,var2[,var3[....,varN]]]]

You can delete one item or a few items using the instructions. For example –

del var
del var_a, var_b

Python supports four different types of numbers –

  • int (signed integers)
  • long (long integers, can also be shown in eighteen)
  • Float(Float point real values)
  • Complex (Complex numbers)
  • Python allows you to use a lowercase l with a long, but it is recommended that you only use the letters to avoid confusion with the number 1. Showing Python long integers with a capital L.
  • The number of A centered coupled with a real number is a hard-point, x + yj, where x and y is the actual number and j are the imaginative unit.

Python strings

Python links are identified as natural diagrams of the statements. Python allows both of them to be one or two. The chain can be downloaded using a slider ([] and []) and from the beginning of the string and can be used as a starting point to end.

The extra sign (+) signates the chain of sms with an asterisk (*) is the repetitive operator. For example –

#!/usr/bin/python
str = 'Hello World!'
print str          # Prints complete string
print str[0]       # Prints first character of the string
print str[2:5]     # Prints characters starting from 3rd to 5th
print str[2:]      # Prints string starting from 3rd character
print str * 2      # Prints string two times
print str + "TEST" # Prints concatenated string

Python List

List the most common types of Python in the data. The list consists of split pieces that are attached to the back cover ([]). To some extent, they are similar to the tests in the C. The ratio between them is the complete list of products to be a different type of data.

The value of the list can be found using a slider ([] and []) and the beginning of the 0 starting list and can be used to stop the path -1. Additional signatures (+) sign up for the baseline list, and the star (*) operator repeated. For example –

#!/usr/bin/python

list = [ 'abcd', 786 , 2.23, 'john', 70.2 ]
tinylist = [123, 'john']

print list          # Prints complete list
print list[0]       # Prints first element of the list
print list[1:3]     # Prints elements starting from 2nd till 3rd 
print list[2:]      # Prints elements starting from 3rd element
print tinylist * 2  # Prints list two times
print list + tinylist # Prints concatenated lists

This produces the following results
['abcd', 786, 2.23, 'john', 70.2]
abcd
[786, 2.23]
[2.23, 'john', 70.2]
[123, 'john', 123, 'john']
['abcd', 786, 2.23, 'john', 70.2, 123, 'john']

Python Tuples

Tuple is another type of data series that comes from the same device. Tuple consists of several values ​​that distinguish the rectum. However, in the list, however, the thieves rely on the courses.

The main difference between the tuples and the list is the attached list of square ([]) and the size of the size that can be changed while the tuples are attached to the parentheses (()) which can not be changed. The tubes can be considered as a list of only. For example –

#!/usr/bin/python

tuple = ( 'abcd', 786 , 2.23, 'john', 70.2  )
tinytuple = (123, 'john')

print tuple           # Prints complete list
print tuple[0]        # Prints first element of the list
print tuple[1:3]      # Prints elements starting from 2nd till 3rd 
print tuple[2:]       # Prints elements starting from 3rd element
print tinytuple * 2   # Prints list two times
print tuple + tinytuple # Prints concatenated lists

Python Dictionary

The Python dictionary is a form of symmetrical tables. They work like the same or poultry machines in Perl and produce Key values. The dictionary can open all types of Python, but often numbers or letters. Value, On the other hand, there could be something that is not suitable for Python.

Dictionary are attached to the knee {{}} and are evaluated and used with criteria ([]). For example

#!/usr/bin/python

dict = {}
dict['one'] = "This is one"
dict[2]     = "This is two"
tinydict = {'name': 'john','code':6734, 'dept': 'sales'}
print dict['one']       # Prints value for 'one' key
print dict[2]           # Prints value for 2 key
print tinydict          # Prints complete dictionary
print tinydict.keys()   # Prints all the keys
print tinydict.values() # Prints all the values

Data type Conversion

Sometimes you may need to interact between the types of structure. To change the types, simply use the type name as an action.

There are several techniques created to create one kind of data from another. These jobs will return a new product representing the changed value.

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By | 2018-12-11T12:06:44+00:00 December 11th, 2018|python|0 Comments

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