GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Python Technologies
  • Databases
  • Computer Programming
  • Web Development
  • Java Technologies
  • Computer Science
  • Mobile Development
  • Big Data & Analytics
  • Microsoft Technologies
  • DevOps
  • Latest Technologies
  • Machine Learning
  • Digital Marketing
  • Software Quality

This view

  • Original page
  • New address

GeezerVison is showing www.tutorialspoint.com — Python sys.getrecursionlimit() method

Python Tutorial
  • Python - Home
  • Python - Overview
  • Python - History
  • Python - Features
  • Python vs C++
  • Python - Hello World Program
  • Python - Application Areas
  • Python - Interpreter
  • Python - Environment Setup
  • Python - Virtual Environment
  • Python - Basic Syntax
  • Python - Variables
  • Python - Private Variables
  • Python - Data Types
  • Python - Type Casting
  • Python - Unicode System
  • Python - Literals
  • Python - Operators
  • Python - Arithmetic Operators
  • Python - Comparison Operators
  • Python - Assignment Operators
  • Python - Logical Operators
  • Python - Bitwise Operators
  • Python - Membership Operators
  • Python - Identity Operators
  • Python - Walrus Operator
  • Python - Operator Precedence
  • Python - Comments
  • Python - User Input
  • Python - Numbers
  • Python - Booleans
  • Python - Floating Points
  • Python - Control Flow
  • Python - Decision Making
  • Python - If Statement
  • Python - If else
  • Python - Nested If
  • Python - Conditional User Inputs
  • Python - Match-Case Statement
  • Python - Loops
  • Python - for Loops
  • Python - for-else Loops
  • Python - While Loops
  • Python - break Statement
  • Python - continue Statement
  • Python - pass Statement
  • Python - Nested Loops
  • Python Functions & Modules
  • Python - Functions
  • Python - Default Arguments
  • Python - Keyword Arguments
  • Python - Keyword-Only Arguments
  • Python - Positional Arguments
  • Python - Positional-Only Arguments
  • Python - Arbitrary Arguments
  • Python - Variables Scope
  • Python - Function Annotations
  • Python - Modules
  • Python - Packing and Unpacking
  • Python - Built in Functions
  • Python Strings
  • Python - Strings
  • Python - Slicing Strings
  • Python - Modify Strings
  • Python - String Concatenation
  • Python - String Formatting
  • Python - Escape Characters
  • Python - String Methods
  • Python - String Exercises
  • Python Lists
  • Python - Lists
  • Python - Access List Items
  • Python - Change List Items
  • Python - Add List Items
  • Python - Remove List Items
  • Python - Loop Lists
  • Python - List Comprehension
  • Python - Sort Lists
  • Python - Copy Lists
  • Python - Join Lists
  • Python - List Methods
  • Python - List Exercises
  • Python Tuples
  • Python - Tuples
  • Python - Access Tuple Items
  • Python - Update Tuples
  • Python - Unpack Tuples
  • Python - Loop Tuples
  • Python - Join Tuples
  • Python - Tuple Methods
  • Python - Namedtuple
  • Python - Tuple Exercises
  • Python Sets
  • Python - Sets
  • Python - Access Set Items
  • Python - Add Set Items
  • Python - Remove Set Items
  • Python - Loop Sets
  • Python - Join Sets
  • Python - Copy Sets
  • Python - Set Operators
  • Python - Set Methods
  • Python - Set Exercises
  • Python Dictionaries
  • Python - Dictionaries
  • Python - Access Dictionary Items
  • Python - Change Dictionary Items
  • Python - Add Dictionary Items
  • Python - Remove Dictionary Items
  • Python - Dictionary View Objects
  • Python - Loop Dictionaries
  • Python - Copy Dictionaries
  • Python - Nested Dictionaries
  • Python - Dictionary Methods
  • Python - Dictionary Exercises
  • Python Arrays
  • Python - Arrays
  • Python - Access Array Items
  • Python - Add Array Items
  • Python - Remove Array Items
  • Python - Loop Arrays
  • Python - Copy Arrays
  • Python - Reverse Arrays
  • Python - Sort Arrays
  • Python - Join Arrays
  • Python - Array Methods
  • Python - Array Exercises
  • Python File Handling
  • Python - File Handling
  • Python - Write to File
  • Python - Read Files
  • Python - Renaming and Deleting Files
  • Python - Directories
  • Python - File Methods
  • Python - OS File/Directory Methods
  • Python - OS Path Methods
  • Object Oriented Programming
  • Python - OOPs Concepts
  • Python - Classes & Objects
  • Python - Class Attributes
  • Python - Class Methods
  • Python - Static Methods
  • Python - Constructors
  • Python - Access Modifiers
  • Python - Inheritance
  • Python - Multiple Inheritance
  • Python - Multilevel Inheritance
  • Python - Polymorphism
  • Python - Method Overriding
  • Python - Method Overloading
  • Python - Dynamic Binding
  • Python - Dynamic Typing
  • Python - Abstraction
  • Python - Encapsulation
  • Python - Interfaces
  • Python - Packages
  • Python - Inner Classes
  • Python - Anonymous Class and Objects
  • Python - Singleton Class
  • Python - Wrapper Classes
  • Python - Enums
  • Python - Reflection
  • Python - Data Classes
  • Python Errors & Exceptions
  • Python - Syntax Errors
  • Python - Exceptions
  • Python - try-except Block
  • Python - try-finally Block
  • Python - Raising Exceptions
  • Python - Exception Chaining
  • Python - Nested try Block
  • Python - User-defined Exception
  • Python - Logging
  • Python - Assertions
  • Python - Warnings
  • Python - Built-in Exceptions
  • Python - Debugger (PDB)
  • Python Multithreading
  • Python - Multithreading
  • Python - Thread Life Cycle
  • Python - Creating a Thread
  • Python - Starting a Thread
  • Python - Joining Threads
  • Python - Naming Thread
  • Python - Thread Scheduling
  • Python - Thread Pools
  • Python - Main Thread
  • Python - Thread Priority
  • Python - Daemon Threads
  • Python - Synchronizing Threads
  • Python Synchronization
  • Python - Inter-thread Communication
  • Python - Thread Deadlock
  • Python - Interrupting a Thread
  • Python Networking
  • Python - Networking
  • Python - Socket Programming
  • Python - URL Processing
  • Python - Generics
  • Python Libraries
  • NumPy Tutorial
  • Pandas Tutorial
  • SciPy Tutorial
  • Matplotlib Tutorial
  • Django Tutorial
  • OpenCV Tutorial
  • Python Miscellenous
  • Python - Date & Time
  • Python - Maths
  • Python - Iterators
  • Python - Generators
  • Python - Generator Expressions
  • Python - Lambda Expressions
  • Python - Closures
  • Python - Decorators
  • Python - Recursion
  • Python - Reg Expressions
  • Python - PIP
  • Python - Database Access
  • Python - Weak References
  • Python - Serialization
  • Python - Templating
  • Python - Output Formatting
  • Python - Performance Measurement
  • Python - Data Compression
  • Python - CGI Programming
  • Python - XML Processing
  • Python - GUI Programming
  • Python - Command-Line Arguments
  • Python - Docstrings
  • Python - JSON
  • Python - Sending Email
  • Python - Further Extensions
  • Python - Tools/Utilities
  • Python - Odds and Ends
  • Python - GUIs
  • Python Advanced Concepts
  • Python - Abstract Base Classes
  • Python - Custom Exceptions
  • Python - Higher Order Functions
  • Python - Object Internals
  • Python - Memory Management
  • Python - Metaclasses
  • Python - Metaprogramming with Metaclasses
  • Python - Mocking and Stubbing
  • Python - Monkey Patching
  • Python - Signal Handling
  • Python - Type Hints
  • Python - Automation Tutorial
  • Python - Humanize Package
  • Python - Context Managers
  • Python - Coroutines
  • Python - Descriptors
  • Python - Diagnosing and Fixing Memory Leaks
  • Python - Immutable Data Structures
  • Python - Domain Specific Language (DSL)
  • Python - Data Model
  • Python Useful Resources
  • Python - Questions & Answers
  • Python - Interview Questions & Answers
  • Python - Online Quiz
  • Python - Quick Guide
  • Python - Reference
  • Python - Cheatsheet
  • Python - Projects
  • Python - Useful Resources
  • Python - Discussion
  • Python Compiler
  • NumPy Compiler
  • Matplotlib Compiler
  • SciPy Compiler
Selected Reading
  • UPSC IAS Exams Notes
  • Developer's Best Practices
  • Questions and Answers
  • Online Resume Builder
  • HR Interview Questions
  • Computer Glossary
  • Who is Who

Python sys.getrecursionlimit() method



Previous
Quiz
Next

The Python sys.getrecursionlimit() method is used to retrieve the current maximum depth of the Python interpreter's call stack which is the limit set for the maximum number of nested function calls that the interpreter can handle before raising a RecursionError.

This limit is in place to prevent infinite recursion from causing a stack overflow and crashing the program. By using sys.getrecursionlimit() method developers can check the current recursion limit and if necessary and adjust it to handle deeper recursion levels for specific use cases.

Syntax

Following is the syntax and parameters of Python sys.getrecursionlimit() method −

sys.getrecursionlimit()

Parameter

This method does not take any parameters.

Return value

This method returns the current recursion limit of the Python interpreter.

Example 1

Following is the example of simply retrieving and printing the current recursion limit which is typically 1000 by default −

import sys

# Get the current recursion limit
current_limit = sys.getrecursionlimit()
print(f"Current recursion limit: {current_limit}")   

Output

Current recursion limit: 1000

Example 2

This example shows how to get the default recursion limit, change it using the sys.setrecursionlimit() method and then retrieve the new limit to confirm the change −

import sys

# Get the default recursion limit
default_limit = sys.getrecursionlimit()
print(f"Default recursion limit: {default_limit}")

# Set a new recursion limit
sys.setrecursionlimit(2000)

# Get the new recursion limit
new_limit = sys.getrecursionlimit()
print(f"New recursion limit: {new_limit}")

Output

Default recursion limit: 1000
New recursion limit: 2000

Example 3

This example shows checking the current recursion limit before performing a deep recursion and then increasing the limit to accommodate deeper recursion −

import sys

# Function with deep recursion
def deep_recursion(n):
    if n == 0:
        return "Reached the end"
    else:
        return deep_recursion(n - 1)

# Check the current recursion limit
limit = sys.getrecursionlimit()
print(f"Current recursion limit: {limit}")

# Attempt a deep recursion
try:
    result = deep_recursion(limit - 5)  # Just below the limit
    print(result)
except RecursionError:
    print("Recursion limit exceeded")

# Increase the recursion limit and try again
sys.setrecursionlimit(limit + 1000)
new_limit = sys.getrecursionlimit()
print(f"New recursion limit: {new_limit}")

try:
    result = deep_recursion(new_limit - 5)  # Just below the new limit
    print(result)
except RecursionError:
    print("Recursion limit exceeded")

Output

Current recursion limit: 1000
Reached the end
New recursion limit: 2000
Reached the end
python_modules.htm
Tutorix - AI Tutor
Previous Quiz Next
Advertisements
You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.