Are you a coding enthusiast? Are you passionate about creating complex programs? Do you struggle to learn programming?
There’s nothing to be worried about.
It doesn’t really matter if you are an expert or a beginner, it matters how passionate you are about the discipline.
It sounds like you have all heard the term “Python” before. Don’t you? Python, which is a high-level, ObjectOriented Programming Language, is very simple to use and has fewer lines of code than other programming languages. It is easy to understand and readable by all learners, regardless of academic background. The scope of the python programming language has expanded with the advancements in technology. It is a flexible programming language, which can be used in many areas, including Data Science, Artificial Intelligence and Web Development.
This programming language is general-purpose and supports both procedural and functional programming. The data types are essential for building a program. Let’s now look at the concept of python programming and the data types they perform.
Type of data:
In python programming, a Data Type is only about the representation and categorizing of the type of value that the variable is made up of.
What data types are available in Python?
Like other programming languages there are data types built into python.
- None
- Numeric
- Sequence
- Boolean
- Set
- Dictionary/Mapping
Why are they necessary?
Programming is the part where the programmer/coder needs to be aware of the data type in order to process it appropriately. Otherwise, the code will end up with errors.
These data types in Python with examples are:
None:
The Python Null object is also known as NoneType. A variable without a value assigned is known as no variable. Instead of representing it with null, we use none instead. It lacks any useful attributes so it is left with the Boolean value of “false”.
Numeric:
These are the types of numeric data:
- int (Integer)
- Float (Floating number).
- Complex (Complex)
1. int:
This data type represents the whole-valued range of positive and negative numbers.
Example:
#Assign a value for a variable
A = 5
#Pass a function for the datatype to which ‘a’ is a member.
Type (a)
#Therefore, the type of the “a” is the “int”, which is an integer value.
< class ‘int’ >
2. float:
The floating data type is the real numbers that have decimal points.
Example:
A = 4.5
Type (a)
< class ‘float’ >
3. complex:
Complex data types can be used to represent multiple values as well as a pair floating-point numbers.
Example:
A = 8+9j
Type (a)
< class ‘complex’ >
Sequence:
These are the types of sequence data:
- List
- tuple
- str(String)
1. list:
List data in Python consists of an ordered sequence containing values that are separated by a space and enclosed in square brackets.
Example:
a = [1,4,8]
Type (a)
< class ‘list’ >
2. tuple ( , tuple Python)
It is a sequence of values separated with a comma and surrounded by brackets (parenthesis).
Example:-
A = (8, 0, 0,1)
type(a)
< class ‘tuple’ >
3. str
The str data type, which is similar to the list or tuple in Python is an array of characters that are placed within quotations.
Example:
A = “cat”
Type (a)
< class ‘str’ >
Boolean:
bool:
This data type is useful in decision-making because it can represent one of the two-state value such as true, false, yes, or no, on, or off.
Example:
A = 2 3.
Type (a)
< class ‘bool’ >
Set:
The set data type is a collection of elements that can be used in different ways without null values. This unsorted collection of data items are placed in curly brackets separated with a comma.
Example:
A = 6, 9, 8, 8
Type (a)
< class ‘set’ >
Dictionary:
By assigning keys to each value, this data type allows programmers to quickly retrieve large amounts of data. Instead of using index numbers to locate the data, it is possible to assign a key to each value. This would make it much easier to identify the relevant information.
a = ‘apple’ : ‘fruit’, ‘sweet’ : ‘flavour’, ‘cricket’ : ‘sports’
#Pass the function for the keys.
d.keys ()
dict keys (‘apple’,’sweet’,’cricket’)
#Pass the function for the values
d.values ()
dict values (‘fruit’,’flavour’,’sports’)
Conclusion:
We must keep up with the rapidly changing technologies. Why not get more advanced? Let’s align ourselves with these technologies to create an automated future. Python is the technology platform that will lead in technology control, development, and management. It is a simple and general-purpose programming language that is easy to understand for beginners. It is also widely used in many sectors. These data types allow computers to code data and then interpret it.
