A(n) is an object that can hold a group of values that are all of the same data type.

A(n) is an object that can hold a group of values that are all of the same data type.

Syntax

SET('value1','value2',...) [CHARACTER SET charset_name] [COLLATE collation_name]

Description

A set. A string object that can have zero or more values, each of which must be chosen from the list of values 'value1', 'value2', ... A SET column can have a maximum of 64 members. SET values are represented internally as integers.

SET values cannot contain commas.

If a SET contains duplicate values, an error will be returned if strict mode is enabled, or a warning if strict mode is not enabled.

See Also

  • Character Sets and Collations
  • Data Type Storage Requirements

  • ← VARCHAR
  • ↑ String Data Types ↑
  • UUID Data Type →

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Set data types: set, frozenset

1. Python Numeric Data Type

Python numeric data type is used to hold numeric values like;

  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.

A(n) is an object that can hold a group of values that are all of the same data type.

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-

A(n) is an object that can hold a group of values that are all of the same data type.

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-

A(n) is an object that can hold a group of values that are all of the same data type.

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.

A(n) is an object that can hold a group of values that are all of the same data type.

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 = {1:"first name",2:"last name", "age":33}

#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.

A(n) is an object that can hold a group of values that are all of the same data type.

Is an object that can hold a group of values that are all of the same data type?

An array is a homogeneous data structure (elements have same data type) that stores a sequence of consecutively numbered objects--allocated in contiguous memory. Each object of the array can be accessed by using its number (i.e., index).

What special value are the elements of an array of reference type objects equal to by default?

Null. The default value of a reference type variable is null when they are not initialized. Null means not refering to any object.

What is a reference variable?

Reference Variables. A reference variable is a variable that points to an object of a given class, letting you access the value of an object. An object is a compound data structure that holds values that you can manipulate. A reference variable does not store its own values.

Which of the following is a value type?

Value types include the following: All numeric data types. Boolean , Char , and Date. All structures, even if their members are reference types.