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
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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
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
Assignment operators in Python are fundamental tools for manipulating data within a program. In Python, these operators serve the dual purpose of assigning values to variables and performing operations simultaneously. The most basic assignment operator, "=", sets a variable equal to a value.
Python includes various compound assignment operators like +=, -=, *=, /=, %=, **=, and //= that blend an operation with an assignment. This makes your code shorter and more efficient. Understanding how to utilize these assignment operators is crucial for Python developers.
Assignment operators in Python play a crucial role in altering variables and simplifying mathematical operations, enhancing the clarity and functionality of your code. In this piece, we'll delve deeper into Assignment operators in Python, exploring their various applications and how they can be used effectively.
In this comprehensive exploration of Python's assignment operators, we delve into the essential tools that enable programmers to assign values to variables while simultaneously performing mathematical operations. Starting with the foundational "=" operator, we progress to the compound assignment operators like "+=", "-=", "*=", and more.
These operators not only enhance code efficiency but also simplify complex calculations, making Python a versatile and user-friendly programming language. Throughout this article, we'll provide clear explanations and practical examples of each assignment operator, empowering readers to harness their full potential for data manipulation and code optimization in Python.
In Python, the assignment operator, represented by "=" sign, plays a crucial role. Its primary task is to assign a value to a variable, connecting the variable's name to a value or expression for data storage and manipulation in Python code.
Example: x = 5
In this instance, we have a variable called 'x,' which we set to have a value of 5. From this point forward in your program, whenever you mention 'x,' it represents the number 5.
Example: y = x + 3
Here, y is assigned the value of x + 3. If x was previously assigned a value of 5, then y will become 8.
Example: x = 10 # Reassigning the value of x
Now, x no longer holds the value 5; it holds the value 10.
The assignment operator is a fundamental tool in Python coding. It helps you handle data, do math stuff, and keep info for later. In Python, you don't have to say what type a variable is; Python figures it out from what you put in it.
In essence, in Python, the assignment operator, logical operators in Python, facilitates the linkage of a variable name to a specific value or object intended for use within your Python code. This streamlines the efficient handling of data in your programs. To further illustrate the concept, let's explore some Python assignment examples to demonstrate how these operations work.
Example:
x = 5 # Assigning the value 5 to the variable x
Example:
y = 3
y += 2 # Equivalent to y = y + 2
Example:
z = 12
z -= 4 # Subtracts 4 from z, making z equal to 8
Example:
a = 3
a *= 2 # Multiplies a by 2, making an equal to 6
Example:
b = 8
b /= 4 # Divides b by 4, making b equal to 2.0
Example:
c = 15
c %= 7 # Calculates the remainder of 15 divided by 7, making c equal to 1
Example:
d = 20
d //= 3 # Performs integer division, making d equal to 6
Example:
e = 2
e **= 3 # Raises e to the power of 3, making e equal to 8
Example:
f = 5
f &= 3 # Performs bitwise AND, making f equal to 1
Example:
g = 6
g |= 3 # Performs bitwise OR, making g equal to 7
Example:
h = 9
h ^= 5 # Performs bitwise XOR, making h equal to 12
Example:
i = 16
i >>= 2 # Right-shifts i by 2 positions, making i equal to 4
Example:
j = 3
j <<= 2 # Left-shifts j by 2 positions, making j equal to 12.
Assignment operators are like tools in Python. They help you manage data and do things in your Python programs. There's a basic one, "=", and some others like "+=", "-=", "*=", and so on. These are important for your Python programs.
The "=" operator's basic job is to give a variable a value. It links a variable name on the left with a value or something on the right. This helps store and work with information in Python programs. Python's smart system can figure out what type of data your value is without you having to tell it explicitly. This saves you from having to specify the type yourself.
In the task "x = 5," we assign the number 5 to the variable "x." Later, we can refer to the number 5 using the variable "x." When we modify it, as in "x = 10," we update the variable to represent the value 10 instead.
We have these special shortcuts called compound assignment operators like "+=," "-=," "*=," "/=," "%=," "**=," and "//=." They mix an operation with the assignment. These shortcuts make code easier to read and help us do complicated math faster. For example, "y += 2" means the same as "y = y + 2," where we add 2 to whatever "y" had before.
In summary, Python's assignment and comparison operators are fundamental in Python programming, allowing variables to be assigned values and updated efficiently. They facilitate data manipulation and mathematical operations, making Python a versatile and user-friendly programming language. Understanding how to use these operators is crucial for Python programmers seeking to optimize their code.
1. What does the assignment operator do in Python?
We use the "=" symbol in Python as the assignment operator. Its main job is to connect a variable name with a value or a math problem. This helps you keep and work with information in your Python programs.
2. How does Python handle expressions with assignment operators?
Python does things from right to left when you have assignment operators in an expression. Take "x = y = 5" as an example. The number 5 gets assigned to both x and y. But it happens from right to left. So, first, y becomes 5, and then x gets the same value as y.
3. What's the purpose of using compound assignment operators like "+=" or "*=" in Python?
Compound assignment operators like += and *= help change a variable's value more quickly when doing a calculation. They can make your code easier to read and faster by avoiding unnecessary variable repetition. For instance, using x += 5 is shorter than writing x = x + 5 and does the same thing.
4. Can I use assignment operators together with conditional statements or loops in Python?
Yes, you can utilize assignment operators within conditional statements (like if statements) and loops (such as for and while loops) to modify container values based on specific conditions or during iterations.
5. What are the recommended practices for naming containers when using assignments in Python?
It's advisable to select descriptive container names that clearly express their purpose. Stick to naming conventions, such as using lowercase letters and underscores for container names (e.g., my_container_name). Opting for meaningful container names enhances the readability and maintainability of your code.
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...