Tutorial Playlist
200 Lessons1. Introduction to Python
2. Features of Python
3. How to install python in windows
4. How to Install Python on macOS
5. Install Python on Linux
6. Hello World Program in Python
7. Python Variables
8. Global Variable in Python
9. Python Keywords and Identifiers
10. Assert Keyword in Python
11. Comments in Python
12. Escape Sequence in Python
13. Print In Python
14. Python-if-else-statement
15. Python for Loop
16. Nested for loop in Python
17. While Loop in Python
18. Python’s do-while Loop
19. Break in Python
20. Break Pass and Continue Statement in Python
21. Python Try Except
22. Data Types in Python
23. Float in Python
24. String Methods Python
25. List in Python
26. List Methods in Python
27. Tuples in Python
28. Dictionary in Python
29. Set in Python
30. Operators in Python
31. Boolean Operators in Python
32. Arithmetic Operators in Python
33. Assignment Operator in Python
34. Bitwise operators in Python
35. Identity Operator in Python
36. Operator Precedence in Python
37. Functions in Python
38. Lambda and Anonymous Function in Python
39. Range Function in Python
40. len() Function in Python
41. How to Use Lambda Functions in Python?
42. Random Function in Python
43. Python __init__() Function
44. String Split function in Python
45. Round function in Python
46. Find Function in Python
47. How to Call a Function in Python?
48. Python Functions Scope
49. Method Overloading in Python
50. Method Overriding in Python
51. Static Method in Python
52. Python List Index Method
53. Python Modules
54. Math Module in Python
55. Module and Package in Python
56. OS module in Python
57. Python Packages
58. OOPs Concepts in Python
59. Class in Python
60. Abstract Class in Python
61. Object in Python
62. Constructor in Python
63. Inheritance in Python
64. Multiple Inheritance in Python
65. Encapsulation in Python
66. Data Abstraction in Python
67. Opening and closing files in Python
68. How to open JSON file in Python
69. Read CSV Files in Python
70. How to Read a File in Python
71. How to Open a File in Python?
72. Python Write to File
73. JSON Python
74. Python JSON – How to Convert a String to JSON
75. Python JSON Encoding and Decoding
76. Exception Handling in Python
77. Recursion in Python
78. Python Decorators
79. Python Threading
80. Multithreading in Python
81. Multiprocеssing in Python
82. Python Regular Expressions
83. Enumerate() in Python
84. Map in Python
85. Filter in Python
86. Eval in Python
87. Difference Between List, Tuple, Set, and Dictionary in Python
88. List to String in Python
89. Linked List in Python
90. Length of list in Python
91. Reverse a List in Python
92. Python List remove() Method
93. How to Add Elements in a List in Python
94. How to Reverse a List in Python?
95. Difference Between List and Tuple in Python
96. List Slicing in Python
97. Sort in Python
98. Merge Sort in Python
99. Selection Sort in Python
100. Sort Array in Python
101. Sort Dictionary by Value in Python
102. Datetime Python
103. Random Number in Python
104. 2D Array in Python
105. Abs in Python
106. Advantages of Python
107. Anagram Program in Python
108. Append in Python
109. Applications of Python
110. Armstrong Number in Python
111. Assert in Python
112. Binary Search in Python
113. Binary to Decimal in Python
114. Bool in Python
115. Calculator Program in Python
116. chr in Python
117. Control Flow Statements in Python
118. Convert String to Datetime Python
119. Count in python
120. Counter in Python
121. Data Visualization in Python
122. Datetime in Python
123. Extend in Python
124. F-string in Python
125. Fibonacci Series in Python
126. Format in Python
127. GCD of Two Numbers in Python
128. How to Become a Python Developer
129. How to Run Python Program
130. In Which Year Was the Python Language Developed?
131. Indentation in Python
132. Index in Python
133. Interface in Python
134. Is Python Case Sensitive?
135. Isalpha in Python
136. Isinstance() in Python
Now Reading
137. Iterator in Python
138. Join in Python
139. Leap Year Program in Python
140. Lexicographical Order in Python
141. Literals in Python
142. Matplotlib
143. Matrix Multiplication in Python
144. Memory Management in Python
145. Modulus in Python
146. Mutable and Immutable in Python
147. Namespace and Scope in Python
148. OpenCV Python
149. Operator Overloading in Python
150. ord in Python
151. Palindrome in Python
152. Pass in Python
153. Pattern Program in Python
154. Perfect Number in Python
155. Permutation and Combination in Python
156. Prime Number Program in Python
157. Python Arrays
158. Python Automation Projects Ideas
159. Python Frameworks
160. Python Graphical User Interface GUI
161. Python IDE
162. Python input and output
163. Python Installation on Windows
164. Python Object-Oriented Programming
165. Python PIP
166. Python Seaborn
167. Python Slicing
168. type() function in Python
169. Queue in Python
170. Replace in Python
171. Reverse a Number in Python
172. Reverse a string in Python
173. Reverse String in Python
174. Stack in Python
175. scikit-learn
176. Selenium with Python
177. Self in Python
178. Sleep in Python
179. Speech Recognition in Python
180. Split in Python
181. Square Root in Python
182. String Comparison in Python
183. String Formatting in Python
184. String Slicing in Python
185. Strip in Python
186. Subprocess in Python
187. Substring in Python
188. Sum of Digits of a Number in Python
189. Sum of n Natural Numbers in Python
190. Sum of Prime Numbers in Python
191. Switch Case in Python
192. Python Program to Transpose a Matrix
193. Type Casting in Python
194. What are Lists in Python?
195. Ways to Define a Block of Code
196. What is Pygame
197. Why Python is Interpreted Language?
198. XOR in Python
199. Yield in Python
200. Zip in Python
Python, a flexible and dynamically typed programming language, heavily relies on efficient data type management to guarantee the reliability and functionality of the code. In this endeavor, the "isinstance()" method proves to be a crucial asset. With the help of this technique, Python programmers can exert control over the kinds of objects they come across and use that information to their advantage when writing code.
In Python programming, being able to ascertain whether an object belongs to a certain class or type is crucial. It helps with data validation and protects against data type-related errors, making it simpler to manage a variety of data inputs and scenarios. Ensuring that code works flawlessly with anticipated data structures and behaviors, increases the robustness and resilience of the program.
The "isinstance()" method essentially acts as the foundation for efficient type checking in Python, ultimately assisting in the development of dependable, error-resistant, and adaptable code. Because of its significance in so many different fields, including data processing and object-oriented programming, it is a crucial tool for Python developers.
Python's "isinstance()" method is an effective tool for type checking in the language. Its main objective is to determine whether an object belongs to that class or a subclass derived from it. Developers can use this feature to precisely identify the type of data they are working with. When "isinstance()" returns True, it verifies that the object belongs to the anticipated class or another related class in the hierarchy of inheritance. A False result, on the other hand, denotes a type mismatch for the object. By ensuring data compatibility and promoting robust, error-resistant code, this easy-to-use method contributes significantly to Python programming. Its versatility makes it an essential tool for Python developers, with applications ranging from validating simple data types to inspecting intricate class relationships.
The syntax of the “isinstance()” method is quite easy to understand:
The parameters are as follows:
Object- The object you want to examine.
Classinfo: A class or a tuple of classes to compare against.
In simple terms, you provide an object, such as a variable, and specify one or more classes or types to which it should be compared. If the object matches any of the specified classes or types, the method will return “True”; otherwise, it will return “False”.
The “isinstance()” method works by examining the type of the given object and comparing it to the provided class or classes specified in “class info”. If there is a match, it returns “True”; otherwise, it returns “False”. This fundamental mechanism underpins the type-checking capability of Python, helping developers ensure the compatibility of objects within their code.
Let us look at some practical examples of how the “isinstance()” method works to get a better understanding of how it works.
1. Checking for Integer
In this example, we use “isinstance()” to determine whether or not the variable “num” contains an integer. If it does, the code displays "It's an integer"; otherwise, it displays "It's not an integer."
2. Checking for Floats
Similarly, we use “isinstance()” to see if the variable price contains a “float” value. If it does, the code displays "It's a float"; otherwise, it displays "It's not a float."
3. Checking for Strings
In this example, we use “isinstance()” to determine whether the variable text is a “string”. If it is, the code displays "It's a string"; otherwise, it displays "It's not a string."
4. Checking for Lists
When working with data structures, it is important to check for lists:
We use “isinstance()” to see if the variable “my_list” is indeed a list. If it is, the code displays "It's a list"; otherwise, it displays "It's not a list."
5. Checking for Dictionaries
Similarly, “isinstance()” can be used to ensure that a variable is a dictionary:
In this case, we use “isinstance()” to see if the variable “my_dict” is a dictionary. If it is, the code prints "It's a dictionary"; otherwise, it prints "It's not a dictionary."
6. Checking for Tuples
Tuples can also be validated using isinstance():
In this example, we use “isinstance()” to determine whether the variable “my_tuple” is a tuple. If it is, the code displays "It's a tuple"; otherwise, it displays "It's not a tuple."
7. Checking for Sets
Sets can be checked in the same way:
In this case, we use “isinstance()” to see if the variable “my_set” is a set. If it is, the code displays "It's a set"; otherwise, it displays "It's not a set."
8. Making use of “isinstance()”with Custom Classes
“isinstance()” can also be applied to custom classes and objects as follows:
In this case, we use “isinstance()” to determine whether the “person” object belongs to the “Person” class. If it does, the code displays "It's a Person object"; otherwise, it displays "It's not a Person object."
One of isinstance()'s useful features is its ability to handle multiple types or classes in a single check. You can accomplish this by passing a tuple of classes to “isinstance()” as the second argument. Here is an illustration:
We use “isinstance()” in this code snippet to determine whether the variable “value” is an integer or a list. If it matches any of these types, the code prints "It's either an integer or a list"; otherwise, it prints "It's neither an integer nor a list."
In Python, everything is an object, and you can use “isinstance()” to determine whether an object belongs to a specific class or one of its subclasses. For example:
We create two classes in this code: “Animal” and “Dog”, with “Dog” being a subclass of “Animal”. We then create a “Dog” instance called “my_dog”. We use “isinstance()” to determine whether “my_dog” is an instance of the “Animal” class or one of its subclasses. If it is, the code displays "It's an Animal or a subclass of Animal"; otherwise, it displays "It's not an Animal or a subclass of Animal."
In situations where you need to process user input or external data, “isinstance()” can be extremely useful. When expecting user input, for example, you can use “isinstance()” to ensure that the input is of the expected data type:
In this example, we get user input using “input()” and then use “isinstance()” to determine whether the input is a string. The code outputs "You entered a string" if it is a string; otherwise, it outputs "You did not enter a string." For your code to properly handle user input, this kind of validation is essential.
To determine whether class methods belong to a particular class, you can also apply “isinstance()” to them:
In this example, we define two classes: “Person” and “Dog”, each with the “greet” and “bark” methods that are appropriate for that class. We then make instances of these classes, “Alice” and “Fido”, and use the function “isinstance()” to determine whether the methods are a part of their respective classes. The code prints the appropriate message if a method belongs to the specified class; otherwise, it prints a different message.
It is important to understand the difference between “isinstance()” and the “type()” method in Python:
Here is an example to illustrate the difference:
In this case, “isinstance(my_dog, Animal)” returns True because “my_dog” is a subclass of “Animal”. “My_dog” is an instance of Dog, not Animal, so “type(my_dog) == Animal” returns False. For precise type checking in your Python programs, this distinction is essential.
Python's “isinstance()” method is a useful and functional tool for type checking and ensuring that your code functions correctly with anticipated data types. It enables programmers to decide intelligently based on the kinds of objects they are working with, resulting in more solid and dependable code.
We have covered isinstance()'s syntax, core features, and a ton of useful examples showing how to use it in the real world in this extensive article. Writing reliable and maintainable Python code requires knowing how to use “isinstance()” effectively.
1. What is the purpose of the “isinstance()” method in Python?
The “isinstance()” method is used to check if an object is an instance of a specific class or its subclasses. It helps in type-checking and ensures that your code works with the expected data types.
2. How does “isinstance()” differ from “type()” in Python?
“isinstance()” checks if an object is an instance of a specific class or its subclasses and handles inheritance. “type()” returns the exact type of an object but does not handle inheritance. It only returns the exact type of the object.
3. Can I use “isinstance()” with custom classes and objects?
Yes, you can use “isinstance()” with custom classes and objects to check their types or their relationship with other classes.
4. What is the return value of “isinstance()”?
“isinstance()” returns True if the object is an instance of the specified class or a subclass of that class, and False otherwise.
5. When is it useful to use “isinstance()” in Python?
“isinstance()” is useful when you want to perform different actions based on the type of an object or when you need to ensure that a variable contains a specific type of data, such as strings, dictionaries, or custom objects.
6. Can I use “isinstance()” with multiple classes?
Yes, you can pass a tuple of classes as the second argument to “isinstance()” to check if the object is an instance of any of those classes.
PAVAN VADAPALLI
Director of Engineering
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working …Read More
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upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before enr...