Functions are one of the most important and used things in Python programs. We call a function whenever required in a particular code to get desired information. Python is a vast program hence, it can be split into several small blocks. A Function is one among them. It contains a set of statements that is enclosed by (). It can be called one or more times in one program itself. Usage of more python functions thus increases the modularity and reusability of the program. Let us know more about that the Python Type Function-Know More.
The function also helps the user to break their program into small parts so they debug it wherever it goes wrong. It organizes the code and avoids repetition of the code. Functions are mainly classified into two; Built-in and User-defined functions.
- Built-in function: built-in functions are predefined by the python program and are readily used in a programming code.
For example, the function list() is used to return the lists.
- User-defined functions: These functions are defined by the user himself to perform a specific task.
For example, mynumber() is a function created by a user for a particular coding to perform a specific task.
In this article, we shall discuss the type() function in Python. Type function is a built-in function that returns the type of this object. For example, if your input is a string, through type() we get the output as <class’str’>. If the added input is a list, the output will be <class’list’>. If the input added is a number, the output through type() will be <class’int’>.
You can pass single or multiple arguments using the type() function. For example, type(object) contains only one type of argument, and type(name, bases, dict) contains more than one type of argument.
Syntax for type()
The type() can be used in two ways in a python program. They are;
type(object)
It will return the type of the parameter. It is a mandatory parameter. The type() will not function if the parameter is not mentioned.
type(name, bases, dict)
In this type of function, bases and dict are optional parameters. When these parameters are added to type(), it will return a new type of object as the output.
Example of type()
This example contains a set of lists, strings, numbers, dict, and tuples. We will use these variables with a type function to know the type of these variables.
Input
Str = “Hello World”
Age = 50
Mylist = [“a”, “b”, ”c”, ”d”]
Mytuple = [“A”,”B”,”C”,”D”]
Mydict = {“a”:”sun” ,”b”:”mon” ,”c”:”tue” ,”d”:”wed”}
print(“ the type of str is : ”, type(str))
print(“ the type of age is : ”, type(age))
print(“ the type of Mylist is : ”, type(Mylist))
print(“ the type of Mytuple is : ”, type(Mytuple))
print(“ the type of Mydict is : ”, type(Mydict))
output
the type of str is: <class‘str’>
the type of age is: <class‘int’>
the type of Mylist is: <class‘list’>
the type of Mytuple is: <class‘tuple’>
the type of Mydict is: <class‘dict’>
through this, we understood how to check the type of a particular parameter using type(). Long code programs often make our code look messy. The users often seem to find it difficult to debug the errors in this code. But with a type(), it is easier to know about the type of each string, list, float, number, tuple, set, and dict. It also makes the job easy for the mentor to find out where a student went wrong in his or her program. It also provides a blueprint of a program.
Applications of type()
- The type() is used for debugging purposes. When string functions like upper(), lower(), and split() are opted, sometimes they do not function properly and throw errors while we run the program. To prevent that from happening, type() is used to check which type of function, and if it’s extracted from the web crawler, it is converted to other forms of string before we use string functions.
- The type() with three arguments can be applied to dynamically initialize classes or existing classes with attributes. It can be also used to register database tables with SQL.
More about Python
Python was developed in late 1980 by Guido Van Rossum in the Netherlands. Python is used by students and working professionals these days. They are used in place of C++, Java, and other programming languages. Schools changed their current syllabus to python from C++ because they are more prominent in many IT companies.
Basic knowledge of Python led many students to work in many IT companies and other related fields. Python has provided many job opportunities to the upcoming generation. There are several other advantages,
- Python is interpreted
- python is interactive
- Python is object-oriented
- python is a beginner language
- easy to learn
- easy to read
- easy to maintain
- portable
- extendable
Handling python needs very minimal knowledge about computers. It is easy to understand as well as it takes only a year or less to know about the basics of the python program. It is easy to interpret and the errors can be identified and rectified well. It provides the right workspace to both students and working professionals. Including Python in the school, the syllabus has made it easier for mentors to take their portions and put tests on the subject. This has made theory classes more understandable and interesting.
Learning more about computer programs has benefited a lot of people. It has done a lot of developments in IT and technology sections. However, it has led to many problems as well. People started taking these facilities for granted. This leads to many privacy issues like prying into personal information and using it for one’s benefit. Sensitive pieces of information like bank numbers and others can be easily retrieved by strangers. They are being used without the owners’ permission. The Codes for opening passwords and breaking into other confidential information have been created that are illegally used by many people. So it is encouraged to use any information in the correct sense and use it for the betterment of others.
Conclusion
Python type function (type()) is thereby used to ease the program coding and to get an organized coding structure. It is a user-friendly feature of python which helps the user to type code without getting irritated. It also educates the user on many other thighs about python. For example, while writing the type() of a particular variable, a user gets informed about a particular type and its other uses.
