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
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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
Python's range function is a strong tool that you can use to create a series of integers. In loops and other iterative structures, it is frequently utilized. We will examine the range function's numerous facets in this post and learn how to use it efficiently in Python scripts.
Python's range() method has the following syntax:
range(start, stop, step)
In this instance,
- start: The sequence's configurable starting value. If nothing is specified, the series begins at 0.
- stop: The sequence's last value (needed). The sequence will continue up to this point but not past it.
- step: The extra addition value in between each number in the sequence. If nothing is specified, step 1 is taken by default.
You can without much of a stretch form mathematical groupings that can be applied to various programming undertakings by utilizing the range() function.
Python's range function is a compelling strategy for making mathematical successions.
To loop over these chains and do specific activities, it is every now and again utilized in loops, for example. You can rapidly produce a scope of whole numbers that fulfill your specific requirements by picking the start, stop, and step values.
The range() function in Python is mostly used to make circling lists. You can rapidly get to a succession's components by file while repeating them over by joining the range() function with the len() function.
The range function can also be used to create looping indexes. You can quickly access a sequence's elements by coordinating the range function with a loop.
At the point when you want to make a progression of numbers in a predefined request, the range function may be helpful. The augmentation or reduction between each number in the series can be changed by providing the step value.
The range(stop) function in Python delivers a progression of values from 0 up to the provided stop value, but not beyond it. This shows that any numbers between 0 and stop-1 will be remembered for the range.
Here is a example of how the range(stop) capability capabilities:
for I in range(5):
print(i)
Output:
0 |
The range(5) function makes a progression of whole numbers from 0 to 4 in the above occurrence. Then, the 'for' loop emphasizes this list, appointing every whole number to the variable "I". The loop's print statement produces the value of "I" after every iteration.
You can make a progression of whole numbers beginning from the provided start value and finishing with the predetermined stop value utilizing the Python range(start, stop) technique. This shows that any numbers between start and stop-1 will be remembered for the range.
Here is a representation of the range(start, stop) function:
for I in range(2, 8):
print(i)
Output:
2 |
In this model, the range (2, 8) function makes a progression of numbers from 2 to 7. Then, at that point, the ‘for’ loop iterates through this list, allocating every number to the variable "I". The loop's print statement results in the value of "I" after every iteration.
You can make a progression of numbers beginning from the provided start value and finishing with the predetermined completion value utilizing the Python range(start, stop, step) strategy. The addition factor for each number in the series is set by the step boundary.
To represent how the range(start, stop, step) capability works, consider the following example:
for I in range(1, 10, 2):
print(i)
Output
1 |
The range(1, 10, 2) function in this illustration creates a series of numbers starting at 1 and increasing by 2 until it attains a value that is less than 10. Therefore, the order is 1, 3, 5, 7, and 9. The print command is then used by the for loop to iteratively print each integer on a distinct line.
A negative step value can also be utilized using the range() method in Python. The series of numbers will be created in descending order when employing a negative step.
Here is an illustration showing how the range() function functions when there is a negative step:
for i in range(10, 0, -2):
print(i)
Output:
10 |
The range(10, 0, -2) function in this illustration creates a series of numbers starting at 10 and decreasing by 2 until it reaches a value higher than 0. The order is thus 10, 8, 6, 4, and 2. The print command is then used by the for loop to iteratively print each integer on a distinct line.
In Python, the start, stop, and step parameters of the range() function are normally integer numbers. It is not, however, restricted to just integers. Additionally, it can take float values.
Here is an illustration of how to use the range() function with float values:
Code:
for i in range(1, 6, 0.5):
print(i)
Output:
1 |
The range(1, 6, 0.5) function in this illustration creates a series of integers starting at 1 and rising by 0.5 each time until it reaches a value equal to or greater than 6. The numbers in the order are therefore 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, and 5.
The print command is then used by the for loop to iteratively print each integer on a distinct line.
To access certain components inside the created sequence, you can alternatively use the range() function in Python together with an index value. This is achieved by involving the record value as a parameter following the range() function, enclosed in square sections [].
Here is an illustration of how to use an index value to retrieve elements inside a range:
Code:
for i in range(1, 6, 1):
print("Element at index {}: {}".format(i, list(range(1, 6))[i]))
Output:
Element at index 1: 2 |
The range(1, 6, 1) function in this example makes a progression of numbers beginning at 1 and ascending by 1 until it arrives at a value equivalent to or greatert than 6. List(range(1, 6))[i) is used by the for loop to retrieve the relevant element inside the range for each iteration as it traverses this sequence.
With the assistance of the adaptable Python range() function, you can make a progression of numbers in view of the start, stop, and step values that you give. The range() function has the following key guidelines that you should consider:
In Python programming, emphasizing a succession is a common movement, and the range() function is mostly used to do it. To figure out how to utilize the range() function to emphasize over a series, we should go through a model.
Suppose we need to utilize a loop to print each component of a list. The range() function can be utilized to make a progression of files that address the areas of the list's components. This is the way to achieve it:
my_list = ['apple', 'banana', 'orange', 'grape']
for I in range(len(my_list)):
print(my_list[i])
Output:
apple |
In the above occurrence, the natural products "apple," "banana," "orange," and "grape" are first characterized in a list named "my_list," which is utilized as a beginning stage. The list length ('len(my_list)') is then utilized as the stop value in the range() function. By doing this, a line of files '[0, 1, 2, 3]' is created, addressing the areas of the list's components.
Software engineers every now and again need to create arrangements of numbers, and the range() function in Python simplifies this work. To figure out how to make a list of whole numbers using the range() function, we should go through a model.
Suppose we need to make a list of the numbers from 1 to 10. To do this, we can utilize the range() function. This is the way to achieve it:
my_list = list(range(1, 11))
print(my_list)
The beginning worth and the completion value are the two arguments we supply to the range() function in this model. 1 and 11 (selective) are the beginning and stop values, individually. This demonstrates that the grouping will start at 1 and go on through 11, but not past.
We next utilize the list() function to transform the grouping into a list and dole it out to a variable called "my_list." To see the result, we print 'my_list' last.
The following outcome is generated when we run this code:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
You can see that the code makes a list of whole numbers going from 1 to 10 and doles them out to the variable 'my_list'. The items in 'my_list', which is the list '[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]', are then shown utilizing the 'print()' function.
To summarize, the range() function in Python is an area of strength for making arrangements of whole numbers. A progression of whole numbers inside a given range can be promptly made by characterizing the beginning and end values. The range() function is an essential piece of gear to have in your programming tool stash, whether you really want to over and over or make a series of numbers for different purposes.
1. Can I make a Python range list of even whole numbers using the range() function?
It is conceivable. You can make a progression of even numbers by using the range() function and giving the beginning, stop, and step values. For example, you can use the following code to create a list of even whole numbers from 2 to 10:
my_list = list(range(2, 11, 2)) |
[2, 4, 6, 8, 10] will show up as the result.
2. Is it doable to make a list utilizing the range() function in reverse order?
A list can be made utilizing the range() function in a reverse request. This can be achieved by suitably characterizing the beginning, stop, and step values. For example, you can utilize the following code to deliver a list of numbers from 10 to 1 in a reverse order:
3. What more elements does the range() function in Python offer?
A. The range() function offers a couple of additional elements that can prove useful once in a while. Making a list of whole numbers with explicit step values is one of these highlights. You can produce records with non-bordering or expanding designs by providing a stage value other than 1.
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...