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
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?
Now Reading
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 venture into the realm of what is list in Python? As dynamic arrays, lists stand at the intersection of simplicity and power in Python. Their robustness empowers developers to harness data for a plethora of applications. Read on for an in-depth analysis.
Lists, integral to Python, are mutable and ordered data structures. By supporting various data types and offering a suite of methods, they simplify data handling and provide foundational knowledge for aspiring Python developers. Keep reading to know all about what is list in Python?
At the heart of Python data structures lies the concept of lists. Think of them as versatile containers, capable of holding a medley of different data types, from numbers to strings and even other lists. They're not just about storage; Python lists come with a variety of built-in functions that empower programmers to manipulate, probe, and modify the data they hold.
Code:
LIST = []
print("Blank List: ")
print(LIST)
LIST = [10, 20, 14]
print("\nList of numbers: ")
print(LIST)
LIST = ["up", "Grad", "Tutorial!"]
print("\nList Items: ")
print(LIST[0])
print(LIST[1])
print(LIST[2])
In Python's diverse ecosystem, lists hold a distinguished position due to their myriad characteristics. These versatile data structures, emblematic of Python's adaptability, are equipped with features ranging from ordered storage to intrinsic mutability. Delving into their attributes, it's evident why they're pivotal for intricate data operations and management in the programming realm. Let's take a look at some of their features:
Code:
My_List = [2, 10, 8, 12, 5]
print("Values accessed using positive Index.")
print(My_List[2])
print(My_List[4])
print("Values accessed using negative Index.")
print(My_List[-1])
print(My_List[-5])
Code:
My_List = [2, 10, 8, 12, 5]
print("Values accessed using positive Index.")
print(My_List[2])
print(My_List[4])
print("Values accessed using negative Index.")
print(My_List[-1])
print(My_List[-5])
Code:
List = []
print(len(List))
List1 = [50, 30]
print(len(List1))
List2 = [15, 25, 19]
print(len(List2))
Code:
string = input("Enter The Elements (Space-Separated): ")
L = string.split()
print('The list is:', L)
Code:
List = []
print("blank List: ")
print(List)
List.append(2)
List.append(4)
List.append(6)
print("\nList after Addition of Three elements: ")
print(List)
for i in range(1, 3):
List.append(i)
print("\nList after Addition of elements from 1-2: ")
print(List)
List.append((7, 8))
print("\nList after Addition of a Tuple: ")
print(List)
List2 = ['up','Grad', 'Tutorial!']
List.append(List2)
print("\nList after Addition of a List: ")
print(List)
Code:
List = [10,20,30,40]
print("priliminary List: ")
print(List)
List.insert(2,15)
List.insert(0, 'upGradTutorial!')
print("\nList after performing Insert Operation: ")
print(List)
Code:
List = [10, 20, 30, 40]
print("Priliminary List: ")
print(List)
List.extend([55, 'upGradTutorial!', 'Best!'])
print("\nList after performing Extend Operation: ")
print(List)
Code:
my_list = [10, 20, 30, 40, 50, 'upGradTutorial!', 'Python']
my_list.reverse()
print(my_list)
Code:
List = [10, 20, 30, 40, 50, 60,
70, 80, 90, 100, 110, 120]
print("Initial List: ")
print(List)
List.remove(30)
List.remove(40)
print("\nList after Removal of two elements: ")
print(List)
Code:
List = [10, 20, 30, 40, 50]
List.pop()
print("List after popping an element: ")
print(List)
List.pop(2)
print("\nList after popping a specific element: ")
print(List)
Code:
List = ['u', 'p', 'G', 'r', 'a', 'd',
'T', 'u', 't', 'o', 'r', 'i', 'a' , 'l' , '!']
print("Priliminary List: ")
print(List)
Sliced_List = List[4:8]
print("\nSlicing elements in a range 4-8: ")
print(Sliced_List)
Sliced_List = List[6:]
print("\nElements sliced from 6th "
"element till the end: ")
print(Sliced_List)
Sliced_List = List[:]
print("\nPrinting all elements using slice operation: ")
print(Sliced_List)
Code:
odd_square = [x ** 2 for x in range(1, 10) if x % 2 == 1]
print(odd_square)
Code:
# Creating a list
fruits = ["apple", "banana", "orange", "grape"]
# Accessing elements
print("First fruit:", fruits[0])
print("Second fruit:", fruits[1])
# Modifying elements
fruits[2] = "kiwi"
print("Updated fruits:", fruits)
# Adding elements
fruits.append("pineapple")
print("Fruits after adding:", fruits)
# Removing elements
removed_fruit = fruits.pop(2)
print("Removed fruit:", removed_fruit)
print("Fruits after removing:", fruits)
# List length
num_fruits = len(fruits)
print("Number of fruits:", num_fruits)
# Looping through a list
print("All fruits:")
for fruit in fruits:
print(fruit)
# Checking if an element is in the list
if "apple" in fruits:
print("Yes, 'apple' is in the list.")
else:
print("No, 'apple' is not in the list."
Lists are one of the most versatile and commonly used data structures in Python. They serve various purposes and offer several advantages, which make them an essential part of the language. Here's why lists are used in Python:
In summary, lists are used in Python for their flexibility, versatility, and ability to handle collections of data efficiently. Whether you're working on small-scale scripts or large-scale applications, lists provide a fundamental way to organize, store, and manipulate data.
Example:
Code:
# Creating a list of integers
numbers = [1, 2, 3, 4, 5]
# Creating a list of strings
fruits = ["apple", "banana", "cherry"]
# Creating a mixed-type list
mixed_list = [10, "hello", 3.14, True]
# Accessing elements by index
first_number = numbers[0]
second_fruit = fruits[1]
mixed_item = mixed_list[2]
# Modifying elements
numbers[2] = 100
fruits[0] = "orange"
# Appending elements to the end
fruits.append("grape")
# Getting the length of a list
num_fruits = len(fruits)
# Removing an element by value
fruits.remove("banana")
# Printing the results
print("Numbers:", numbers)
print("Fruits:", fruits)
print("Mixed List:", mixed_list)
print("First number:", first_number)
print("Second fruit:", second_fruit)
print("Modified mixed item:", mixed_item)
print("Number of fruits:", num_fruits)
Python lists are pivotal to data science, web development, and countless other domains within programming. Their malleable nature, combined with Python's intuitive syntax, makes them invaluable. As we've delved into lists, remember that mastering them is a stepping stone to Python's broader horizon.
For those committed to diving deeper, upGrad hosts a collection of courses tailor-made for professionals. A world of knowledge awaits!
1. What are list operations in Python with examples?
Lists support a myriad of operations. Common ones include appending (append()), removing (remove()), and iterating.
2. How do list methods in Python enhance data manipulation?
Python's list methods, from push() to pop(), streamline data handling, providing efficient pathways for operations sans external utilities.
3. Why is list slicing in Python pivotal?
Slicing grants precision in data extraction, allowing developers to capture specific segments of a list, thereby aiding in tasks like data analysis.
5. What is the difference between list and tuple in Python?
Core differences lie in their mutability. Lists can be altered post-creation; tuples cannot. This immutable nature gives tuples a unique standing in data handling.
6. Can you equate an array in Python to a list?
Both arrays and lists store collections of data. However, while lists entertain multiple data types, arrays demand homogeneity, enlisting elements of a singular type.
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...