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
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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
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
In this tutorial, we delve into the intriguing world of Python’s operators. These special symbols play a pivotal role in computations and decision-making within Python scripts. From arithmetic to logic, operators in Python drive the essence of programming, shaping the very core of algorithms and functions.
Python’s vast operator landscape encompasses several categories, each tailored for specific operations. Be it performing arithmetic, making comparisons, or orchestrating logical decisions, operators stand at the helm. This tutorial sheds light on the diverse operators in Python and their quintessential roles.
At the heart of many programming activities, operators in Python are symbols designed to perform specific operations on one or more values. They’re foundational to scripts, enabling everything from mathematical procedures to conditional evaluations. Here, we dissect various operators to understand their essence.
[insert: code] Sample Python code showcasing basic operations using these operators.
Operators aren’t mere symbols; they’re the backbone of any Python program. Their capacity to facilitate decisions, conduct mathematical operations, and influence data flow makes them invaluable. From creating loops to validating user input, operators are indispensable.
Code:
# Addition
a = 5
b = 3
sum_result = a + b
print("Sum:", sum_result) # Output: Sum: 8
# Subtraction
x = 10
y = 7
difference = x - y
print("Difference:", difference) # Output: Difference: 3
# Multiplication
p = 4
q = 6
product = p * q
print("Product:", product) # Output: Product: 24
# Division
numerator = 20
denominator = 4
quotient = numerator / denominator
print("Quotient:", quotient) # Output: Quotient: 5.0
# Floor Division (integer division)
num = 21
divisor = 5
result = num // divisor
print("Floor Division:", result) # Output: Floor Division: 4
# Modulo (remainder)
numerator = 17
divisor = 5
remainder = numerator % divisor
print("Remainder:", remainder) # Output: Remainder: 2
# Exponentiation
base = 2
exponent = 3
power = base ** exponent
print("Power:", power) # Output: Power: 8
Code:
# Equal to
x = 5
y = 5
is_equal = x == y
print("Equal:", is_equal) # Output: Equal: True
# Not equal to
a = 10
b = 7
not_equal = a != b
print("Not Equal:", not_equal) # Output: Not Equal: True
# Greater than
num1 = 15
num2 = 8
greater_than = num1 > num2
print("Greater Than:", greater_than) # Output: Greater Than: True
# Less than
value1 = 25
value2 = 40
less_than = value1 < value2
print("Less Than:", less_than) # Output: Less Than: True
# Greater than or equal to
p = 12
q = 10
greater_equal = p >= q
print("Greater Equal:", greater_equal) # Output: Greater Equal: True
# Less than or equal to
m = 5
n = 5
less_equal = m <= n
print("Less Equal:", less_equal) # Output: Less Equal: True
Code:
# Logical AND
x = True
y = False
result_and = x and y
print("AND Result:", result_and) # Output: AND Result: False
# Logical OR
p = True
q = False
result_or = p or q
print("OR Result:", result_or) # Output: OR Result: True
# Logical NOT
is_open = False
result_not = not is_open
print("NOT Result:", result_not) # Output: NOT Result: True
Code:
# Bitwise AND
a = 12 # 1100 in binary
b = 7 # 0111 in binary
result_and = a & b
print("AND Result:", result_and) # Output: AND Result: 4 (0100 in binary)
# Bitwise OR
x = 10 # 1010 in binary
y = 6 # 0110 in binary
result_or = x | y
print("OR Result:", result_or) # Output: OR Result: 14 (1110 in binary)
# Bitwise XOR
p = 15 # 1111 in binary
q = 9 # 1001 in binary
result_xor = p ^ q
print("XOR Result:", result_xor) # Output: XOR Result: 6 (0110 in binary)
# Bitwise NOT (Inversion)
num = 5 # 0101 in binary
result_not = ~num
print("NOT Result:", result_not) # Output: NOT Result: -6 (-0110 in binary, considering two's complement)
# Left Shift
value = 8 # 1000 in binary
shifted_left = value << 2
print("Left Shift Result:", shifted_left) # Output: Left Shift Result: 32 (100000 in binary)
# Right Shift
number = 16 # 10000 in binary
shifted_right = number >> 2
print("Right Shift Result:", shifted_right) # Output: Right Shift Result: 4 (0001 in binary)
Code:
# Assignment
x = 10
y = x
print("y:", y) # Output: y: 10
# Addition Assignment
a = 5
a += 3
print("a:", a) # Output: a: 8
# Subtraction Assignment
b = 15
b -= 7
print("b:", b) # Output: b: 8
# Multiplication Assignment
c = 3
c *= 4
print("c:", c) # Output: c: 12
# Division Assignment
d = 20
d /= 5
print("d:", d) # Output: d: 4.0
# Modulus Assignment
e = 17
e %= 5
print("e:", e) # Output: e: 2
# Exponentiation Assignment
f = 2
f **= 3
print("f:", f) # Output: f: 8
# Floor Division Assignment
g = 27
g //= 4
print("g:", g) # Output: g: 6
Code:
x = [1, 2, 3]
y = x
z = [1, 2, 3]
# 'is' checks if two variables reference the same object in memory
print(x is y) # Output: True
print(x is z) # Output: False
# 'is not' checks if two variables do not reference the same object
print(x is not y) # Output: False
print(x is not z) # Output: True
Code:
fruits = ['apple', 'banana', 'cherry']
# 'in' checks if a value is present in a sequence
print('apple' in fruits) # Output: True
print('orange' in fruits) # Output: False
# 'not in' checks if a value is not present in a sequence
print('banana' not in fruits) # Output: False
print('grape' not in fruits) # Output: True
Operators in Python aren’t merely mathematical symbols; they are foundational elements upon which countless algorithms and functions are built. Serving as the bedrock for a range of tasks, from basic computations to advanced data manipulations, operators extend their utility across Python’s vast landscape.
Type of Operator | Application | Example |
Arithmetic | Solve mathematical problems | x * y |
Comparison | Validate and compare data | x >= y |
Logical | Frame multi-condition decisions | x or y |
Bitwise | Conduct operations at the binary level | x & y |
Operators form the cornerstone of any programming language, especially Python, which thrives on its simplicity and efficiency. Beyond their immediate application, operators in Python facilitate a broad spectrum of functions that range from simple arithmetic calculations to intricate algorithmic logic. Understanding the advantages of these operators is not just beneficial but paramount to efficient and effective coding.
Advantage | Detailed Description | Operator Type |
Speed | Arithmetic operators in Python, for instance, are optimized for swift operations, thus ensuring code runs rapidly and efficiently. | Arithmetic |
Precision | Comparison operators allow for precision, ensuring data is accurately validated and compared. They form the backbone of most decision-making in codes. | Comparison |
Versatility | Logical operators provide a vast array of operations, aiding in complex decision-making processes. They are fundamental to most control flow structures. | Logical |
Control | Bitwise operators, though advanced, offer control over data at the binary level. This granularity is often vital in systems programming or data encryption processes. | Bitwise |
Despite their numerous advantages, operators in Python also come with a set of limitations. Awareness of these challenges is critical, allowing developers to maneuver around potential pitfalls and optimize their code. Whether it’s the potential computational overhead of specific operations or the pitfalls of misuse, understanding these limitations ensures robust and efficient code development.
Limitation | Detailed Impact | Operator Type |
Overhead | Complex operations, especially those that involve bitwise manipulations, can introduce computational overhead, slowing down the program's execution. | Bitwise |
Misuse | Misusing logical operators can lead to logical errors in the code. For instance, using or when and is intended can drastically alter the flow and outcome of an algorithm. | Logical |
Ambiguity | Certain operators might introduce ambiguity if not used precisely. For example, the difference between = (assignment) and == (comparison) can be a source of confusion for beginners. | Comparison |
Concluding our deep dive, Python operators emerge as essential tools, bolstering code efficiency and versatility. From basic arithmetic to intricate logical sequences, these symbols underpin Python’s strength. For those eager to master Python’s depth and subtleties, upGrad offers specialized courses that delve into the nuances of this powerful language.
1. What is the // in python operator?
The Python // operator represents floor division in Python. It divides the operands and returns only the integer part of the quotient.
2. How is the Python ** operator employed?
The ** operator signifies exponentiation. It raises the first operand to the power defined by the second operand.
3. What is % in Python?
The % in Python denotes the modulo operator. It provides the remainder when one operand is divided by another.
4. Can you elucidate the Python and operator?
The and operator is a logical tool. It returns True only if both its operands are true, otherwise, it gives False.
5. In context, what does // in Python means?
The // operator python is the floor division operator, ensuring the quotient of a division retains only its integer component.
6. What does the python ^ operator do?
In Python, the ^ operator is a bitwise XOR (Exclusive OR) operator. It returns a result where bits are set for positions where the corresponding bits of operands differ.
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...