Python Tutorial - Basic Variable

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Variables are the starting point for programming language, as the programs need to store data into variables. Any programming language need to process data such as numbers, strings, characters, etc. The data can be used directly or saved in variables for future usage.

A variable can be thought of a small box which used to keep the data in program. Each variable has a unique name and you can find the data in the variable by calling its name.

Opposite of variables are constants. Both of variables or constants are small boxes used to “store” data. The difference between variable and constant is the data saved by a variable can be modified multiple times. However, as for constant, once it is saved, then it cannot be modified.

The python variable has name rules. It must begin with an alphabet or underscore. The python variable name must consist of numbers, alphabets and underscores. No spaces are allowed in variable name. It is not advised to use reserved words such as del, for, is, raise, assert, etc. as variable names.

Assignment Operator of Python Variables

In programming languages, the process of storing data into a variable is called assignment. Python usually uses the equal sign “=” as an assignment operation, the format is:

name = value

while as:

name: variable name

value: value (which is the data to be stored)

Note that variable is a type of identifier and it cannot be named randomly. Thus, it is important to follow the Python identifier naming requirement and avoid same names with Python’s built-in functions.

For example: The following statement assigns the integer 10 to the variable n:

n = 10   #assign integer 10 to variable n

From now on, n represents the integer 10 and using letter “n” same as using 10.

More examples:

a = 123   #assign integer 123 to variable n
b = "Welcome to Free Learning Points"

The value of a variable is not fixed. It can be modified at any time if you reassign it. In addition, you don’t need to care about the type of data. You can assign different types of data to the same variable. You can refer to the following example:

n = 10   #Assign 10 to the variable n
n = 27   #Assign 27 to the variable n
n = 36   #Assign 36 to the variable n
n = 310   #Assign 310 to the variable n
xyz = 16.5   #Assign 16.5 to the variable xyz
xyz = 265   #Assign 265 to the variable xyz
xyz = "Free Learning Points"   #Assign a string to the variable xyz

Note that once the value of a variable is modified, the old value is replaced with new value and old value cannot be recovered. In other words, a variable can hold only one value.

In addition to assigning a single value, you can also assign the result of the expression to a variable, for example:

sum = 230 + 45 #Assign the result of the addition to the variable
mixes = 31 * 29% 6 #Assign the remainder to a variable
str = "Welcome to " + "Free Learning Points" #Assign the result of string concatenation to a variable

How to use Python variables?

When using Python variable, all you need to know is the name of the variable. Variables can be used almost anywhere in Python code, you can refer to the following example:

n = 12
print (n) #pass variable to function 12
m = n * 11 + 5 # treat variables as part of four arithmetic operations
print (m)
print (m-2) #Pass an expression consisting of variables as a parameter to the function
m = m * 2 #Double the value of the variable itself
print (m)
website = "Free Learning Points"
str = "Python tutorial:" + "website" #string concatenation
print (str)

The output is:

Python tutorial: website

Python has two characteristics:

a. Variable can be assigned directly without declaration. Assigning a value to a non-existent variable is same as defining a new variable.

b. The data type of a variable can be changed at any time. For example:

value= 1234 (1234 is integer type)

string = “Welcome to Free Learning Platform” (Welcome to Free Learning Platform is string type)

How to use Python Print Function (Advance Method)?

When we use the print () function, we only produce one variable, but in fact, the print () function can produce multiple variables at the same time, and it has more rich functions.

The detailed syntax of the print () function is as follows:

print (value,..., sep='', end='\n', file=sys.stdout, flush=False)

As can be seen from the syntax format above, the value parameter can accept any number of variables or values, so the print () function can output multiple values. For example, the following code:

name = "Alice"
age = 18 #Output multiple variables and strings at the same time
print("User name:", name, "Age:", age)

The output is:

User name: Alice   Age:18

From the output results, when using the print () function to produce multiple variables, the print () function separates multiple variables with spaces by default. If you want to change the default separator, you can set it with the sep parameter. For example, the output statement:

#Output multiple variables and strings at the same time, specify the separator
print ("User name:", name, "Age:", age, sep = '|')

The output is:

User name: |Alice| Age:|18

In default case, the print() function always generate new line. This is because the default value of the end parameter of the print() function is “\n”. This “\n” represents a newline. If you do not want to generate new line, you can reset the end parameter, for example:


The output is:


#Set the end parameter (use anaconda)
print (4, end = "")
print (5, end = "")
print (6, end = "")

The output is:

4 5 6

The three print () statements above will execute three times of output, but since they all specify end = "", the output of each print () statement will remain on the same line.


More Tutorials:

Python Installation - Linux (Ubuntu)
Python Installation - Mac OS
Integrated Development Environment - IDE
Python - Basic Variables
Python - Sequence Introduction
Python - Output Formatting
Python - Escape Character
Python - Type Conversion
Python - Numbers
Python – Arithmetic Operators
Python – Assignment Operators
Python – Comparison Operators
Python – Logical Operators
Python – Precedence and Associativity Operators
Python – Bytes Type and Usage
Python – Long & Raw Strings
Python – Concatenate Function
Python – Slice Function
Python – Length and Split Function
Python – Join and Count Function
Python – Find Function
Python – Index Function
Python – Alignment Function
Python – Startswith and Endswith Function
Python – String Case Conversion
Python – Remove Specified Character
Python – Encode and Decode Function
Python – dir and help Function
Python – Input Output Introduction
Python – Basic Operation
Python – Open Function
Python – Read Function
Python – Readline Function
Python – Write Function
Python – Close Function
Python – Seek and Tell Function
Python – Pickle Module
Python - File Input Module and Linecache Module
Python - Pathlib Module
Python - Pathlib Module
Python - os.path Module
Python - fnmatch Module
Python - Tuple Introduction
Python - List Introduction
Python - List Add Element
Python - List Delete Element
Python - List Modification Element
Python - List Find Element
Python - Dictionary Introduction
Python - Dictionary Basic Operation
Python - Dictionary Method Guide
Python - Set Collection
Python - Set Basic Operation
Python - Set Basic Method
Python - Frozenset Method
Python - If Condition I
Python - If Condition II
Python - While loop
Python - For loop
Python - Pass Statement
Python - Break Statement
Python - Zip Reverse Function
Python - Function Introduction
Python - Positional Parameters
Python - Key Arguments
Python - None and Return
Python - Variable Scope
Python - Local Function
Python - Closure Method
Python - Lamdba Expression

More Python Exercises:

Python String Exercises
Python List Exercises
Python Library Exercises
Python Sets Exercises
Python Array Exercises
Python Condition Statement Exercises