
- 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 - 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 - Operator Precedence
- Python - Comments
- Python - User Input
- Python - Numbers
- Python - Booleans
- Python - Control Flow
- Python - Decision Making
- Python - If Statement
- Python - If else
- Python - Nested If
- 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 - 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 - 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 - 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 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 - Built-in Exceptions
- 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 - 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 - 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 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
Python Randfacts Library
Python randfacts library is used for generating random fun facts. It allows you to quickly fetch random facts from a predefined set of categories or generate random facts with minimal setup.
Installing randfacts Library
To work with randfacts library, you first need to install it. This can be done easily using pip, Python's package installer. Open your terminal or command prompt and run the following command −
pip install randfacts
Importing randfacts Library
Once library is installed, you can import randfacts into your Python script to access its functionality. Here's how you do it −
import randfacts
Generating Random Facts
The primary function of randfacts is to generate random facts. You can retrieve a single random fact using the get_fact() method.
Example
import randfacts fact = randfacts.get_fact() print(fact)
Output
RUN 1: Did you know? A crocodile cannot stick its tongue out RUN 2: Taipan snakes have 50 times more toxic than a cobra snake
Generating Multiple Random Facts
To generate multiple random facts, you can use get_fact() multiple times within a loop.
Example
In the following example, we are generating and printing ten random facts −
import randfacts for _ in range(10): fact = randfacts.get_fact() print(fact)
Output
The dot that appears over the letter i is called a "tittle." A Father's Diet Before Conception Plays a Crucial Role in a Child's Health. The hottest chili in the world is the Tezpur chili pepper The U.S. Navy has 75 trained dolphins to detect enemy swimmers and underwater mines. Brazil was once called "United States of Brazil." The MGM lion roar is trademarked Parts of the Great Wall of China were made with sticky rice. The moon is moving away from us by 3.78 cm (1.48 in) a year. In October 1986, Pepsi paid close to $840 million to Nabisco for the Kentucky Fried Chicken empire Over 800 languages are spoken in Papua New Guinea.
Content Filtering while Generating Random Facts
The randfacts library allows you to filter the content of the facts generated. By default, get_fact() filters out explicit content. However, you can control this behavior by passing a boolean argument to the function. Passing True enables the filter (default behavior), while passing False disables it.
Example
import randfacts # Generate a fact with content filtering enabled (default) print("Fact with content filtering enabled") safe_fact = randfacts.get_fact(True) print(safe_fact) # Generate a fact with content filtering disabled print("Fact with content filtering disabled") unsafe_fact = randfacts.get_fact(False) print(unsafe_fact)
Output
Fact with content filtering enabled The characters Bert and Ernie on Sesame Street were named after Bert the cop and Ernie the taxi driver in Frank Capra's It's a Wonderful Life. Fact with content filtering disabled In Utah, it is illegal to swear in front of a dead person.
Randomfacts Library Using Command Line
The randfacts can also be executed directly from the command line.
Here are some commands you can use −
Generate a random fact
python3 -m randfacts
Generate a fact with explicit content filtering disabled
python3 -m randfacts --unsafe
Generate a mix of safe and unsafe facts
python3 -m randfacts mixed