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
Now Reading
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
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 is a computer programming language used for developing web-based applications. It was developed by Guido Van Rossum in the year 1991.
Developers have used it for many years as it’s a very important tool. There are codes used in Python. However, many times, there are frequent problems with the code inserted. Asserts in Python help in identifying those errors and fix them.
Let us dive deep into the topic of asserts in Python.
During programming, when a programmer makes certain assumptions, he knows that it will be true no matter what. However, if a certain condition evaluates to false if it should be true, then it shouldn’t be allowed to proceed further as there are chances of error. The program needs to be terminated. And how is the task achieved, it is achieved with the help of an assert in Python.
Assert is a keyword in Python that refers to a debugging tool that confirms or basically tests a particular condition.
Asserts, in general terms, means confidently stating something. Similarly, In Python, assertions are assumptions that are confidently stated. For instance, while writing a division function to use the division arithmetic operator, the programmer states that the divisor function should not be 0, and the programmer asserts that the divisor is not equal to zero. This assert function enables them to identify the errors and rectify them.
An assert in Python checks and tests a specific code. It tests a particular expression, and if it returns the condition to be correct true, it does not do anything and proceeds further to the next code. However, if it appears to be false, it raises an error with an optional error message.
The motive of asserts in Python is to help developers with unrecoverable errors in the program like “File not Found.”
It is a kind of self-check in the Python program similar to a quality assurance unit in a manufacturing plant.
Assert, as mentioned earlier, is a debugging tool in Python that pops up an error message if the assumption comes to be false.
Generally, an assertion is used in Python for the following purposes:
Example of an error with the assert in Python
def avg(scores):
assert len(scores) != 0,"The List is empty."
return sum(scores)/len(scores)
scores2 = [67,59,86,75,92]
print("The Average of scores2:",avg(scores2))
scores1 = []
print("The Average of scores1:",avg(scores1))
The Output of the written Code
The Average of scores2: 75.8
AssertionError: The List is empty.
Explanation – As the average score2 is correct, it is shown accurately.
However, the scores1 does not satisfy the given condition. Hence, the error message pops out.
The assert keyword in Python is used while debugging code. If you have entered a correct condition, the assert keyword tests it. If it turns out to be true, you can continue to go on with writing the complete code.
However, if the expression returns false, it will raise an Assertion Error.
Let’s look at the example given below:
x = "How are you"
#if condition returns False, AssertionError is raised:
assert x == "I am Fine," "x should be 'How are you'"
The following code is trying to check the use of assert by testing the value of y is 0 before performing the division operation using a division operator.
Here, x = 4
And y = 0.
The programs pop up a message: “The value of x/y is: “The assert statement checks whether y is not equal to 0. As we can see, the value of y = 0, the assert assumptions loaded fails and returns an Assertion Error.
As already an assertion is raised, the program terminates and does not proceed further.
# initializing number
x = 4
y = 0
# using assert to check for 0
print("The value of x/y is: ")
assert y != 0
print(x / y)
The following code is trying to check the use of assert by testing the value of y is 0 before performing the division operation using a division operator.
Here, x = 4
And y = 0.
The programs pop up a message: “The value of x/y is: “The assert statement checks whether y is not equal to 0. As we can see, the value of y = 0, the assert assumptions loaded fails and returns an Assertion Error with the message “Zero Division Error.”
As an assertion is raised, the program terminates and does not proceed further.
x = 4
y = 0
# using assert to check for 0
print("The value of x / y is: ")
assert y != 0, "Zero Division Error"
print(x / y)
To check whether the rectangle’s length and breadth are positive, the assert is used in the following given example.
However, the Python assert statement raises an error with the message “Length and breadth must be positive” if the written statement assert is false.
If the written assert statement is true, the function gives the area of the rectangle.
If it is false, an error message pops out.
def calculate_rectangle_area(length, breadth):
# Assertion to check that the length and breadth are positive
assert length > 0 and width > 0, "Length and breadth"+ \
"must be positive"
# Calculation of the area
= length * breadth
# Return statement
return area
# Calling the function with positive inputs
area1 = calculate_rectangle_area(5, 6)
print("Area of a rectangle with length 5 and width 6 is", area1)
# Calling the function with negative inputs
area2 = calculate_rectangle_area(-5, 6)
print("Area of a rectangle with length -5 and breadth 6 is", area2)
Output - AssertionError: Length and breadth must be positive
In this given example, we use an assert with a Boolean condition a<b is true. If the stated assertion is true, it continues on with the program. However, a Python assert message would appear if it returns to be false.
A = 10
b = 20
# Asserting a boolean condition
asserts a < b
# Printing the values of a and b
print(“a =,” b)
print(“a =,” b)
Output:
a = 10
b = 20
In the below-given example, the assert statement tests if the type of the variables used x and y are str and int respectively.
If the assertion passes, it will go on with the program. However, if the assertion proves to be false, it raises an assertion error.
# Initializing variables
x = "Bye"
y = 50
# Asserting the type of a variable
assert type(x) == str
assert type(y) == int
# Printing the values of x and y
print("x =," x)
print("y =," y)
Output:
x = "Bye"
y = 50
In the below-given example, the assert statement Python tests if the values associated with the keywords “mango,” “olives,” and “pears” in the dictionary _dict are 1, 2, and 3, respectively.
If the assertion is true, it goes on with the program and prints the dictionary's content.
If it is false, it will raise an assertion error.
my_dict = {"mango": 1, "olives": 2, "pears": 3}
# Asserting the contents of the dictionary
assert my_dict["mango"] == 1
assert my_dict["olives"] == 2
assert my_dict["pears"] == 3
# Printing the dictionary
print("My dictionary contains the following key-value pairs:", my_dict)
Output:
My dictionary contains the following key-value pairs:
{mango: 1, olives: 2, pears: 3}
As mentioned earlier, it is a debugging tool for identifying written code errors.
Asserts in Python enable developers to recognize the errors and correct them. They keep a security check and work as a quality assurance tool while writing codes in Python. Thus, it can be seen that assert functions in Python are very crucial.
1. What is Python?
Python is a programming language used for developing web-based applications. It was developed by Guido Van Rossum in the year 1991.
2. What is the average salary of a Python Developer in India?
The average salary of a Python Developer in India ranges between 5.0 to 6.0 LPA.
3. What can I become if I learn Python?
Python opens up a plethora of opportunities for individuals. After learning Python, you can become a Python Developer, Machine Learning analyst, or Data analyst.
4. Is Python good for beginners?
Yes, Python has been developed with simple codes and syntax. It’s an easy language, and programming makes it quite useful for beginners.
5. Can Python be used to run the code on Windows?
Yes, Python’s flexibility and portability can be easily used to run the codes on platforms such as Mac OS X, Windows, Unix, and Linux.
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...