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
Now Reading
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 the realm of Python programming, understanding namespaces and scope is pivotal for writing organized and error-free code. Python, a versatile and widely-used language, relies on these concepts to manage variables, functions, and objects effectively. Namespaces define the context in which identifiers exist, while scope delineates the regions where these identifiers are accessible.
In this article, we'll delve into the intricate details of namespaces and scope in Python, exploring how they shape the behavior of variables and functions within a program. By the end, you'll have a comprehensive grasp of these fundamental concepts and their crucial role in Python programming.
A Namespace Python is a context or scope where names or identifiers for variables, functions, classes, and other objects are unique and can be used without conflicts. It organizes and distinguishes entities in a program, preventing naming collisions. In Python, namespaces are crucial for maintaining code clarity and avoiding ambiguity. There are various namespaces, including the built-in namespace containing functions like print, module-level namespaces for imported modules, and local namespaces within functions or methods. Understanding namespaces is fundamental for effective code organization and troubleshooting in Python programming.
There are primarily three types of Namespaces in Python:
Take a look at the details about global vs local namespace in Python. The lifetime of a namespace in Python example is determined by its scope. The built-in namespace, containing core functions and objects, exists throughout the entire runtime of a program. The global namespace is created when a module or script is imported or executed, and it lasts until the interpreter terminates or the module is explicitly unloaded. On the other hand, local namespaces are created when a function or method is called and cease to exist once the function returns or encounters an exception. Understanding the lifecycle of namespaces is essential for managing variable scope, avoiding naming conflicts, and writing well-organized Python code.
In Python, the scope of an object refers to the region of a program where that object is accessible. There are primarily three scopes:
The Built-in Namespace in Python is a fundamental repository of predefined names and objects that are available globally in any Python script or module. It encompasses core functions and objects that form the backbone of the language, including functions like print(), len(), and constants like True and False. This Python Namespace class is automatically loaded when Python starts and persists throughout the entire runtime. It provides a foundation for basic operations, allowing programmers to utilize these essential functionalities without the need for explicit import statements. Understanding the Built-in Namespace is crucial for any Python developer, as it forms the basis for constructing complex applications and scripts.
The Global Namespace in Python refers to the scope where names or identifiers are defined at the top level of a module or script. Variables, functions, and classes declared here are accessible throughout the entire module or script. They can be used in any part of the code, including within functions and classes. This namespace is created when a module is imported or a script is executed, and it persists until the program terminates or the module is explicitly unloaded. Understanding the Global Namespace is crucial for managing variables that need to be accessed by multiple parts of a program, ensuring their availability and coherence in a Python script.
The Local Namespace in Python pertains to the scope within a function or method. Variables defined here are only accessible within that specific function or method. Once the function completes its execution, the local namespace and its variables are removed from memory.
The Enclosing Namespace, also known as non-local scope, applies to nested functions. If a variable isn't found in the local scope, Python searches for it in the enclosing scope. This allows inner functions to access variables from outer functions.
Understanding local and enclosing namespaces is crucial for managing variable scope and preventing naming conflicts in Python programs. It ensures that variables are appropriately isolated and accessible in the right parts of the code.
The scope of an object or variable in Python defines the region in a program where that object can be accessed. There are three primary scopes:
In Python, Namespace Dictionaries are data structures that store names and their corresponding objects within a particular namespace, be it global, local, or otherwise. These dictionaries serve as lookup tables, allowing the interpreter to quickly retrieve objects associated with specific names. Each namespace in Python is essentially a dictionary where names are keys and objects are values. This dynamic mapping enables efficient variable retrieval during program execution. Namespace dictionaries play a pivotal role in managing variable scope and resolving names to their corresponding objects, ensuring smooth execution of Python programs. Understanding this underlying mechanism is crucial for proficient Python programming.
The globals() method in Python is a built-in function that returns a dictionary representing the current global namespace. This dictionary contains all the names defined at the global level in the current module or script. It provides a snapshot of the global namespace, allowing you to inspect and modify global variables dynamically. However, it's important to use this function judiciously, as direct manipulation of the global namespace can lead to code that is harder to understand and maintain. The globals() method is a powerful tool for introspection and dynamic programming, but it should be used with care to maintain code clarity and organization.
The locals() function in Python is a built-in method that returns a dictionary representing the current local namespace. It contains all the names defined within the current function, method, or code block. This dictionary provides a snapshot of the local namespace, allowing for dynamic inspection and modification of local variables. While locals() offers a powerful tool for introspection and dynamic programming, it's important to exercise caution. Directly modifying the local namespace can lead to code that is harder to debug and maintain. The locals() function should be used judiciously, prioritizing code clarity and organization for robust, readable programs.
Changing variables out of their scope in Python involves using the global and nonlocal keywords.
Global Variables:
By default, if you modify a variable within a function, Python creates a new local variable with the same name, leaving the global variable unchanged. To modify a global variable from within a function, you must use the global keyword.
Example:
x = 10
def change_global():
global x
x = 20
change_global()
print(x) # Output: 20
Non-Local Variables:
In nested functions, if you want to modify a variable from an outer function, you use the nonlocal keyword.
Example:
def outer_function():
y = 10
def inner_function():
nonlocal y
y = 20
inner_function()
print(y) # Output: 20
outer_function()
These keywords allow you to explicitly indicate that a variable is intended to be modified from an outer scope, ensuring clarity and avoiding unexpected behavior.
A firm grasp of namespaces and scope is fundamental for Python developers. These concepts govern variable accessibility and play a vital role in code organization. Understanding how identifiers are managed in different contexts empowers programmers to write more efficient and maintainable Python code. With this knowledge, developers can confidently tackle complex projects and build robust, scalable applications.
Q. What is namespace and scope in Python?
In Python, a namespace is a container that holds a collection of names (identifiers) and their corresponding objects. It serves as a way to organize and differentiate names in a program. Scope, on the other hand, defines the region or context where a particular name is accessible, determining which part of the code can access a given identifier.
Q. What is namespace and types in Python?
A namespace in Python is a container that maps names to objects, allowing for organized access to variables, functions, classes, and other entities. There are three primary types of namespaces: local, global, and built-in.
Q. What is the scope of a namespace?
The scope of a namespace refers to the region in a program where a particular name can be accessed. It determines which parts of the code can reference a given identifier.
Q. What is the difference between namespace and scope of a variable?
A namespace is a container that holds a collection of names and their corresponding objects, while scope defines the region where a particular name is accessible. In essence, namespaces organize names, while scope determines their accessibility.
Q. What are the four variable scope types?
In Python, there are four variable scope types:
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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...