Python data type names

Python Data Types

Variables can store data of different types, and different types can do different things.

Python has the following data types built-in by default, in these categories:

Text Type:	str
Numeric Types:	int , float , complex
Sequence Types:	list , tuple , range
Mapping Type:	dict
Set Types:	set , frozenset
Boolean Type:	bool
Binary Types:	bytes , bytearray , memoryview
None Type:	NoneType

Getting the Data Type

You can get the data type of any object by using the type() function:

Example

Print the data type of the variable x:

Setting the Data Type

In Python, the data type is set when you assign a value to a variable:

Example	Data Type	Try it
x = «Hello World»	str	Try it »
x = 20	int	Try it »
x = 20.5	float	Try it »
x = 1j	complex	Try it »
x = [«apple», «banana», «cherry»]	list	Try it »
x = («apple», «banana», «cherry»)	tuple	Try it »
x = range(6)	range	Try it »
x =	dict	Try it »
x =	set	Try it »
x = frozenset()	frozenset	Try it »
x = True	bool	Try it »
x = b»Hello»	bytes	Try it »
x = bytearray(5)	bytearray	Try it »
x = memoryview(bytes(5))	memoryview	Try it »
x = None	NoneType	Try it »

Setting the Specific Data Type

If you want to specify the data type, you can use the following constructor functions:

Example	Data Type	Try it
x = str(«Hello World»)	str	Try it »
x = int(20)	int	Try it »
x = float(20.5)	float	Try it »
x = complex(1j)	complex	Try it »
x = list((«apple», «banana», «cherry»))	list	Try it »
x = tuple((«apple», «banana», «cherry»))	tuple	Try it »
x = range(6)	range	Try it »
x = dict(name=»John», age=36)	dict	Try it »
x = set((«apple», «banana», «cherry»))	set	Try it »
x = frozenset((«apple», «banana», «cherry»))	frozenset	Try it »
x = bool(5)	bool	Try it »
x = bytes(5)	bytes	Try it »
x = bytearray(5)	bytearray	Try it »
x = memoryview(bytes(5))	memoryview	Try it »

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Python Data Types (With Complete List)

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Python Data Types are used to define the type of a variable. In this article, we’ll list out all the data types and discussion the functionality of each. If you are starting out in Python, don’t forget to first visit the Python tutorial for beginners. And if you’ve already gone through the same, don’t forget to check out our previous tutorial on Python Comments and Statements.

Python Data Types

• Numeric data types: int, float, complex
• String data types: str
• Sequence types: list, tuple, range
• Binary types: bytes, bytearray, memoryview
• Mapping data type: dict
• Boolean type: bool
• Set data types: set, frozenset

1. Python Numeric Data Type

1. int — holds signed integers of non-limited length.
2. long- holds long integers(exists in Python 2.x, deprecated in Python 3.x).
3. float- holds floating precision numbers and it’s accurate up to 15 decimal places.
4. complex- holds complex numbers.

In Python, we need not declare a datatype while declaring a variable like C or C++. We can simply just assign values in a variable. But if we want to see what type of numerical value is it holding right now, we can use type(), like this:

#create a variable with integer value. a=100 print("The type of variable having value", a, " is ", type(a)) #create a variable with float value. b=10.2345 print("The type of variable having value", b, " is ", type(b)) #create a variable with complex value. c=100+3j print("The type of variable having value", c, " is ", type(c)) 

If you run the above code you will see output like the below image.

2. Python String Data Type

The string is a sequence of characters. Python supports Unicode characters. Generally, strings are represented by either single or double-quotes.

a = "string in a double quote" b= 'string in a single quote' print(a) print(b) # using ',' to concatenate the two or several strings print(a,"concatenated with",b) #using '+' to concate the two or several strings print(a+" concated with "+b) 

The above code produces output like the below picture-

3. Python List Data Type

The list is a versatile data type exclusive in Python. In a sense, it is the same as the array in C/C++. But the interesting thing about the list in Python is it can simultaneously hold different types of data. Formally list is an ordered sequence of some data written using square brackets([]) and commas(,).

#list of having only integers a= [1,2,3,4,5,6] print(a) #list of having only strings b=["hello","john","reese"] print(b) #list of having both integers and strings c= ["hey","you",1,2,3,"go"] print(c) #index are 0 based. this will print a single character print(c[1]) #this will print "you" in list c 

The above code will produce output like this-

4. Python Tuple

The tuple is another data type which is a sequence of data similar to a list. But it is immutable. That means data in a tuple is write-protected. Data in a tuple is written using parenthesis and commas.

#tuple having only integer type of data. a=(1,2,3,4) print(a) #prints the whole tuple #tuple having multiple type of data. b=("hello", 1,2,3,"go") print(b) #prints the whole tuple #index of tuples are also 0 based. print(b[4]) #this prints a single element in a tuple, in this case "go" 

The output of this above python data type tuple example code will be like the below image.

5. Python Dictionary

Python Dictionary is an unordered sequence of data of key-value pair form. It is similar to the hash table type. Dictionaries are written within curly braces in the form key:value . It is very useful to retrieve data in an optimized way among a large amount of data.

#a sample dictionary variable a = #print value having key=1 print(a[1]) #print value having key=2 print(a[2]) #print value having key="age" print(a["age"]) 

If you run this python dictionary data type example code, the output will be like the below image.

So that’s all for today about Python data types. Don’t forget to run every piece of code on your own machine. Also, don’t just copy-paste. Try to write the lines of code on your own. #happy_coding 🙂 Reference: Python Documentation for Data Types

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