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
Now Reading
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'll delve deep into the intriguing world of anagram program in Python, shedding light on their significance in linguistics and their fascinating role in programming. As you navigate through, you'll understand how Python's extensive libraries and methods make detecting anagrams not only efficient but also enlightening.
An anagram, at its core, is about rearranging the letters of one string to form another. But when it comes to programming, it's more than mere rearrangement. Python, known for its adaptability, offers multiple avenues for anagram detection. This tutorial will guide you through the underlying theory of the anagram program in Python, along with its specific approaches.
An anagram is a captivating linguistic construct, essentially a word or phrase that's formulated by judiciously rearranging the letters of a different word or phrase. This rearrangement necessitates that each of the original letters is utilized once and only once. Historically, these anagrams have been embedded deeply within various facets of culture. Literary giants have often utilized them to inject layers of meaning or cryptic messages into their works. On a similar note, cryptographers have employed anagrams as tools for encoding, thus adding an extra layer of secrecy to messages.
One might find amusement in everyday examples too: consider how the word 'listen' can undergo a transformation to give us 'silent', or how 'cinema' can be artistically shuffled to yield 'iceman'. Shifting our focus to the programming world, anagrams hold a special place. Coding assessments, especially those aiming to evaluate a candidate's problem-solving prowess, recurrently pose the challenge of detecting anagrams. It's a brilliant way to ascertain one's capability to think algorithmically and efficiently.
Python, a high-level programming language celebrated for its readability and robustness, comes to the fore when dealing with such challenges. Its extensive library, brimming with string and list operations, becomes instrumental in simplifying the process of verifying anagrams. The underlying principle for discerning true anagrams is straightforward yet crucial: they should encompass the exact set of characters, and the occurrence frequency of each character should be consistent, irrespective of their placement.
Let us check out some anagram code in Python to understand hands-on anagram meaning in Python.
Code:
def are_anagrams(str1, str2):
sorted_str1 = sorted(str1)
sorted_str2 = sorted(str2)
return sorted_str1 == sorted_str2
# Input strings
string1 = "listen"
string2 = "silent"
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
Explanation:
Code:
from collections import Counter
def are_anagrams(str1, str2):
return Counter(str1) == Counter(str2)
# Input strings
string1 = "listen"
string2 = "silent"
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
Explanation:
Code:
def are_anagrams(str1, str2):
# Convert strings to lists of characters and sort them
sorted_str1 = sorted(list(str1))
sorted_str2 = sorted(list(str2))
return sorted_str1 == sorted_str2
# Input strings
string1 = "listen"
string2 = "silent"
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
Explanation:
Code:
def are_anagrams(str1, str2):
return sorted(str1) == sorted(str2)
# Input strings
string1 = input("Enter the first string: ")
string2 = input("Enter the second string: ")
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
Explanation:
Code:
def are_anagrams(str1, str2):
# Remove spaces and convert to lowercase
str1 = str1.replace(" ", "").lower()
str2 = str2.replace(" ", "").lower()
# Check if lengths are equal
if len(str1) != len(str2):
return False
# Count character occurrences in both strings
char_count = [0] * 256 # Assuming ASCII characters
for char in str1:
char_count[ord(char)] += 1
for char in str2:
char_count[ord(char)] -= 1
if char_count[ord(char)] < 0:
return False
return True
# Input strings
string1 = input("Enter the first string: ")
string2 = input("Enter the second string: ")
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
Explanation:
Code:
from collections import Counter
def are_anagrams(str1, str2):
return Counter(str1) == Counter(str2)
# Input strings
string1 = "listen"
string2 = "silent"
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
Explanation:
Code:
def is_reverse_anagram(str1, str2):
return str1 == str2[::-1]
# Input strings
string1 = input("Enter the first string: ")
string2 = input("Enter the second string: ")
if is_reverse_anagram(string1, string2):
print(f"{string1} is the reverse anagram of {string2}.")
else:
print(f"{string1} is not the reverse anagram of {string2}.")
Explanation:
Code:
def are_anagrams(str1, str2):
# Remove spaces and convert to lowercase
str1 = str1.replace(" ", "").lower()
str2 = str2.replace(" ", "").lower()
# Check if lengths are equal
if len(str1) != len(str2):
return False
# Initialize a dictionary to store character counts
char_count = {}
# Count characters in str1
for char in str1:
if char in char_count:
char_count[char] += 1
else:
char_count[char] = 1
# Verify characters in str2
for char in str2:
if char in char_count:
char_count[char] -= 1
else:
return False
# Verify that all character counts are zero
for count in char_count.values():
if count != 0:
return False
return True
# Input strings
string1 = input("Enter the first string: ")
string2 = input("Enter the second string: ")
if are_anagrams(string1, string2):
print(f"{string1} and {string2} are anagrams.")
else:
print(f"{string1} and {string2} are not anagrams.")
The journey of understanding anagrams in Python showcases the beauty of combining linguistic concepts with algorithmic challenges. With the guidance provided here, any professional can seamlessly detect anagrams in Python.
Beyond this, for those dedicated learners aspiring to ascend further in their Python journey or delve into other cutting-edge technologies, upGrad offers courses that pave the way for expertise. Don't just stop here; let your quest for knowledge propel you forward.
Certainly. Anagrams have historically been used in cryptography, especially in creating certain types of codes and puzzles. In the realm of programming, it hones logic and string manipulation skills.
Yes. While the sorting method is straightforward, it might not be the most efficient for larger strings. Using dictionaries or frequency counts can be more efficient in such scenarios.
No, the idea of anagrams is universal and can be applied to words in any language, provided the language's characters can be rearranged to form meaningful new words or phrases.
Introducing time limits, multi-level challenges, or using phrases instead of single words can add layers of complexity to an anagram game.
While Python doesn't have a dedicated library for anagrams, its rich set of string and list methods are often sufficient. However, third-party libraries might offer specialized functions.
In Python, check if two strings are anagrams by comparing their sorted versions after stripping spaces and converting them to lowercase. If they match, they're anagrams. Use: sorted(str1.replace(" ", "").lower()) == sorted(str2.replace(" ", "").lower()).
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Director of Engineering
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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...