Python Programming
Table of content:
- What Is Python? An Introduction
- What Is The History Of Python?
- Key Features Of The Python Programming Language
- Who Uses Python?
- Basic Characteristics Of Python Programming Syntax
- Why Should You Learn Python?
- Applications Of Python Language
- Advantages And Disadvantages Of Python
- Some Useful Python Tips & Tricks For Efficient Programming
- Python 2 Vs. Python 3: Which Should You Learn?
- Python Libraries
- Conclusion
- Frequently Asked Questions
- It's Python Basics Quiz Time!
Table of content:
- Python At A Glance
- Key Features of Python Programming
- Applications of Python
- Bonus: Interesting features of different programming languages
- Summing up...
- FAQs regarding Python
- Take A Quiz To Rehash Python's Features!
Table of content:
- What Is Python IDLE?
- What Is Python Shell & Its Uses?
- Primary Features Of Python IDLE
- How To Use Python IDLE Shell? Setting Up Your Python Environment
- How To Work With Files In Python IDLE?
- How To Execute A File In Python IDLE?
- Improving Workflow In Python IDLE Software
- Debugging In Python IDLE
- Customizing Python IDLE
- Code Examples
- Conclusion
- Frequently Asked Questions (FAQs)
- How Well Do You Know IDLE? Take A Quiz!
Table of content:
- What Is A Variable In Python?
- Creating And Declaring Python Variables
- Rules For Naming Python Variables
- How To Print Python Variables?
- How To Delete A Python Variable?
- Various Methods Of Variables Assignment In Python
- Python Variable Types
- Python Variable Scope
- Concatenating Python Variables
- Object Identity & Object References Of Python Variables
- Reserved Words/ Keywords & Python Variable Names
- Conclusion
- Frequently Asked Questions
- Rehash Python Variables Basics With A Quiz!
Table of content:
- What Is A String In Python?
- Creating String In Python
- How To Create Multiline Python Strings?
- Reassigning Python Strings
- Accessing Characters Of Python Strings
- How To Update Or Delete A Python String?
- Reversing A Python String
- Formatting Python Strings
- Concatenation & Comparison Of Python Strings
- Python String Operators
- Python String Functions
- Escape Sequences In Python Strings
- Conclusion
- Frequently Asked Questions
- Rehash Python Strings Basics With A Quiz!
Table of content:
- What Is Python Namespace?
- Lifetime Of Python Namespace
- Types Of Python Namespace
- The Built-In Namespace In Python
- The Global Namespace In Python
- The Local Namespace In Python
- The Enclosing Namespace In Python
- Variable Scope & Namespace In Python
- Python Namespace Dictionaries
- Changing Variables Out Of Their Scope & Python Namespace
- Best Practices Of Python Namespace
- Conclusion
- Frequently Asked Questions
- Test Your Knowledge Of Python Namespaces!
Table of content:
- What Are Logical Operators In Python?
- The AND Python Logical Operator
- The OR Python Logical Operator
- The NOT Python Logical Operator
- Short-Circuiting Evaluation Of Python Logical Operators
- Precedence of Logical Operators In Python
- How Does Python Calculate Truth Value?
- Final Note On How AND & OR Python Logical Operators Work
- Conclusion
- Frequently Asked Questions
- Python Logical Operators Quiz– Test Your Knowledge!
Table of content:
- What Are Bitwise Operators In Python?
- List Of Python Bitwise Operators
- AND Python Bitwise Operator
- OR Python Bitwise Operator
- NOT Python Bitwise Operator
- XOR Python Bitwise Operator
- Right Shift Python Bitwise Operator
- Left Shift Python Bitwise Operator
- Python Bitwise Operations And Negative Integers
- The Binary Number System
- Application of Python Bitwise Operators
- Python Bitwise Operator Overloading
- Conclusion
- Frequently Asked Questions
- Test Your Knowledge Of Python Bitwise Operators!
Table of content:
- What Is The Print() Function In Python?
- How Does The print() Function Work In Python?
- How To Print Single & Multi-line Strings In Python?
- How To Print Built-in Data Types In Python?
- Print() Function In Python For Values Stored In Variables
- Print() Function In Python With sep Parameter
- Print() Function In Python With end Parameter
- Print() Function In Python With flush Parameter
- Print() Function In Python With file Parameter
- How To Remove Newline From print() Function In Python?
- Use Cases Of The print() Function In Python
- Understanding Print Statement In Python 2 Vs. Python 3
- Conclusion
- Frequently Asked Questions
- Know The print() Function In Python? Take A Quiz!
Table of content:
- Working Of Normal Print() Function
- The New Line Character In Python
- How To Print Without Newline In Python | Using The End Parameter
- How To Print Without Newline In Python 2.x? | Using Comma Operator
- How To Print Without Newline In Python 3.x?
- How To Print Without Newline In Python With Module Sys
- The Star Pattern(*) | How To Print Without Newline & Space In Python
- How To Print A List Without Newline In Python?
- How To Remove New Lines In Python?
- Conclusion
- Frequently Asked Questions
- Think You Can Print Without a Newline in Python? Prove It!
Table of content:
- What Is A Python For Loop?
- How Does Python For Loop Work?
- When & Why To Use Python For Loops?
- Python For Loop Examples
- What Is Rrange() Function In Python?
- Nested For Loops In Python
- Python For Loop With Continue & Break Statements
- Python For Loop With Pass Statement
- Else Statement In Python For Loop
- Conclusion
- Frequently Asked Questions
- Think You Know Python's For Loop? Prove It!
Table of content:
- What Is Python While Loop?
- How Does The Python While Loop Work?
- How To Use Python While Loops For Iterations?
- Control Statements In Python While Loop With Examples
- Python While Loop With Python List
- Infinite Python While Loop in Python
- Python While Loop Multiple Conditions
- Nested Python While Loops
- Conclusion
- Frequently Asked Questions
- Mastered Python While Loop? Let’s Find Out!
Table of content:
- What Are Conditional If-Else Statements In Python?
- Types Of If-Else Statements In Python
- If Statement In Python
- If-Else Statement In Python
- Nested If-Else Statement In Python
- Elif Statement In Python
- Ladder If-Elif-Else Statement In Python
- Short Hand If-Statement In Python
- Short Hand If-Else Statement In Python
- Operators & If-Esle Statement In Python
- Other Statements With If-Else In Python
- Conclusion
- Frequently Asked Questions
- Quick If-Else Statement Quiz– Let’s Go!
Table of content:
- What Is Control Structure In Python?
- Types Of Control Structures In Python
- Sequential Control Structures In Python
- Decision-Making Control Structures In Python
- Repetition Control Structures In Python
- Benefits Of Using Control Structures In Python
- Conclusion
- Frequently Asked Questions
- Control Structures in Python – Are You the Master? Take A Quiz!
Table of content:
- What Are Python Libraries?
- How Do Python Libraries Work?
- Standard Python Libraries (With List)
- Important Python Libraries For Data Science
- Important Python Libraries For Machine & Deep Learning
- Other Important Python Libraries You Must Know
- Working With Third-Party Python Libraries
- Troubleshooting Common Issues For Python Libraries
- Python Libraries In Larger Projects
- Importance Of Python Libraries
- Conclusion
- Frequently Asked Questions
- Quick Quiz On Python Libraries – Let’s Go!
Table of content:
- What Are Python Functions?
- How To Create/ Define Functions In Python?
- How To Call A Python Function?
- Types Of Python Functions Based On Parameters & Return Statement
- Rules & Best Practices For Naming Python Functions
- Basic Types of Python Functions
- The Return Statement In Python Functions
- Types Of Arguments In Python Functions
- Docstring In Python Functions
- Passing Parameters In Python Functions
- Python Function Variables | Scope & Lifetime
- Advantages Of Using Python Functions
- Recursive Python Function
- Anonymous/ Lambda Function In Python
- Nested Functions In Python
- Conclusion
- Frequently Asked Questions
- Python Functions – Test Your Knowledge With A Quiz!
Table of content:
- What Are Python Built-In Functions?
- Mathematical Python Built-In Functions
- Python Built-In Functions For Strings
- Input/ Output Built-In Functions In Python
- List & Tuple Python Built-In Functions
- File Handling Python Built-In Functions
- Python Built-In Functions For Dictionary
- Type Conversion Python Built-In Functions
- Basic Python Built-In Functions
- List Of Python Built-In Functions (Alphabetical)
- Conclusion
- Frequently Asked Questions
- Think You Know Python Built-in Functions? Prove It!
Table of content:
- What Is A round() Function In Python?
- How Does Python round() Function Work?
- Python round() Function If The Second Parameter Is Missing
- Python round() Function If The Second Parameter Is Present
- Python round() Function With Negative Integers
- Python round() Function With Math Library
- Python round() Function With Numpy Module
- Round Up And Round Down Numbers In Python
- Truncation Vs Rounding In Python
- Practical Applications Of Python round() Function
- Conclusion
- Frequently Asked Questions
- Revisit Python’s round() Function – Take The Quiz!
Table of content:
- What Is Python pow() Function?
- Python pow() Function Example
- Python pow() Function With Modulus (Three Parameters)
- Python pow() Function With Complex Numbers
- Python pow() Function With Floating-Point Arguments And Modulus
- Python pow() Function Implementation Cases
- Difference Between Inbuilt-pow() And math.pow() Function
- Conclusion
- Frequently Asked Questions
- Test Your Knowledge Of Python’s pow() Function!
Table of content:
- Python max() Function With Objects
- Examples Of Python max() Function With Objects
- Python max() Function With Iterable
- Examples Of Python max() Function With Iterables
- Potential Errors With The Python max() Function
- Python max() Function Vs. Python min() Functions
- Conclusion
- Frequently Asked Questions
- Think You Know Python max() Function? Take A Quiz!
Table of content:
- What Are Strings In Python?
- What Are Python String Methods?
- List Of Python String Methods For Manipulating Case
- List Of Python String Methods For Searching & Finding
- List Of Python String Methods For Modifying & Transforming
- List Of Python String Methods For Checking Conditions
- List Of Python String Methods For Encoding & Decoding
- List Of Python String Methods For Stripping & Trimming
- List Of Python String Methods For Formatting
- Miscellaneous Python String Methods
- List Of Other Python String Operations
- Conclusion
- Frequently Asked Questions
- Mastered Python String Methods? Take A Quiz!
Table of content:
- What Is Python String?
- The Need For Python String Replacement
- The Python String replace() Method
- Multiple Replacements With Python String.replace() Method
- Replace A Character In String Using For Loop In Python
- Python String Replacement Using Slicing Method
- Replace A Character At a Given Position In Python String
- Replace Multiple Substrings With The Same String In Python
- Python String Replacement Using Regex Pattern
- Python String Replacement Using List Comprehension & Join() Method
- Python String Replacement Using Callback With re.sub() Method
- Python String Replacement With re.subn() Method
- Conclusion
- Frequently Asked Questions
- Know How To Replace Python Strings? Prove It!
Table of content:
- What Is String Slicing In Python?
- How Indexing & String Slicing Works In Python
- Extracting All Characters Using String Slicing In Python
- Extracting Characters Before & After Specific Position Using String Slicing In Python
- Extracting Characters Between Two Intervals Using String Slicing In Python
- Extracting Characters At Specific Intervals (Step) Using String Slicing In Python
- Negative Indexing & String Slicing In Python
- Handling Out-of-Bounds Indices In String Slicing In Python
- The slice() Method For String Slicing In Python
- Common Pitfalls Of String Slicing In Python
- Real-World Applications Of String Slicing
- Conclusion
- Frequently Asked Questions
- Quick Python String Slicing Quiz– Let’s Go!
Table of content:
- Introduction To Python List
- How To Create A Python List?
- How To Access Elements Of Python List?
- Accessing Multiple Elements From A Python List (Slicing)
- Access List Elements From Nested Python Lists
- How To Change Elements In Python Lists?
- How To Add Elements To Python Lists?
- Delete/ Remove Elements From Python Lists
- How To Create Copies Of Python Lists?
- Repeating Python Lists
- Ways To Iterate Over Python Lists
- How To Reverse A Python List?
- How To Sort Items Of Python Lists?
- Built-in Functions For Operations On Python Lists
- Conclusion
- Frequently Asked Questions
- Revisit Python Lists Basics With A Quick Quiz!
Table of content:
- What Is List Comprehension In Python?
- Incorporating Conditional Statements With List Comprehension In Python
- List Comprehension In Python With range()
- Filtering Lists Effectively With List Comprehension In Python
- Nested Loops With List Comprehension In Python
- Flattening Nested Lists With List Comprehension In Python
- Handling Exceptions In List Comprehension In Python
- Common Use Cases For List Comprehensions
- Advantages & Disadvantages Of List Comprehension In Python
- Best Practices For Using List Comprehension In Python
- Performance Considerations For List Comprehension In Python
- For Loops & List Comprehension In Python: A Comparison
- Difference Between Generator Expression & List Comprehension In Python
- Conclusion
- Frequently Asked Questions
- Rehash Python List Comprehension Basics With A Quiz!
Table of content:
- What Is A List In Python?
- How To Find Length Of List In Python?
- For Loop To Get Python List Length (Naive Approach)
- The len() Function To Get Length Of List In Python
- The length_hint() Function To Find Length Of List In Python
- The sum() Function To Find The Length Of List In Python
- The enumerate() Function To Find Python List Length
- The Counter Class From collections To Find Python List Length
- The List Comprehension To Find Python List Length
- Find The Length Of List In Python Using Recursion
- Comparison Between Ways To Find Python List Length
- Conclusion
- Frequently Asked Questions
- Know How To Get Python List Length? Prove it!
Table of content:
- List of Methods To Reverse A Python List
- Python Reverse List Using reverse() Method
- Python Reverse List Using the Slice Operator ([::-1])
- Python Reverse List By Swapping Elements
- Python Reverse List Using The reversed() Function
- Python Reverse List Using A for Loop
- Python Reverse List Using While Loop
- Python Reverse List Using List Comprehension
- Python Reverse List Using List Indexing
- Python Reverse List Using The range() Function
- Python Reverse List Using NumPy
- Comparison Of Ways To Reverse A Python List
- Conclusion
- Frequently Asked Questions
- Time To Test Your Python List Reversal Skills!
Table of content:
- What Is Indexing In Python?
- The Python List index() Function
- How To Use Python List index() To Find Index Of A List Element
- The Python List index() Method With Single Parameter (Start)
- The Python List index() Method With Start & Stop Parameters
- What Happens When We Use Python List index() For An Element That Doesn't Exist
- Python List index() With Nested Lists
- Fixing IndexError Using The Python List index() Method
- Python List index() With Enumerate()
- Real-world Examples Of Python List index() Method
- Difference Between find() And index() Method In Python
- Conclusion
- Frequently Asked Questions
- Think You Know Python List Indexing? Take A Quiz!
Table of content:
- How To Remove Elements From List In Python?
- The remove() Method To Remove Element From Python List
- The pop() Method To Remove Element From List In Python
- The del Keyword To Remove Element From List In Python
- The clear() Method To Remove Elements From Python List
- List Comprehensions To Conditionally Remove Element From List In Python
- Key Considerations For Removing Elements From Python Lists
- Why We Need to Remove Elements From Python List
- Performance Comparison Of Methods To Remove Element From List In Python
- Conclusion
- Frequently Asked Questions
- Quiz– Prove You Know How To Remove Item From Python Lists!
Table of content:
- How To Remove Duplicates From A List In Python?
- The set() Function To Remove Duplicates From Python List
- Remove Duplicates From Python List Using For Loop
- Using List Comprehension Remove Duplicates From Python List
- Remove Duplicates From Python List Using enumerate() With List Comprehension
- Dictionary & fromkeys() Method To Remove Duplicates From Python List
- Remove Duplicates From Python List Using in, not in Operators
- Remove Duplicates From Python List Using collections.OrderedDict.fromkeys()
- Remove Duplicates From Python List Using Counter with freq.dist() Method
- The del Keyword Remove Duplicates From Python List
- Remove Duplicates From Python List Using DataFrame
- Remove Duplicates From Python List Using pd.unique and np.unipue
- Remove Duplicates From Python List Using reduce() function
- Comparative Analysis Of Ways To Remove Duplicates From Python List
- Conclusion
- Frequently Asked Questions
- Think You Know How to Remove Duplicates? Take A Quiz!
Table of content:
- What Is Python List & How To Access Elements?
- What Is IndexError: List Index Out Of Range & Its Causes In Python?
- Understanding Indexing Behavior In Python Lists
- How to Prevent/ Fix IndexError: List Index Out Of Range In Python
- Handling IndexError Gracefully Using Try-Except
- Debugging Tips For IndexError: List Index Out Of Range Python
- Conclusion
- Frequently Asked Questions
- Avoiding ‘List Index Out of Range’ Errors? Take A Quiz!
Table of content:
- What Is the Python sort() List Method?
- Sorting In Ascending Order Using The Python sort() List Method
- How To Sort Items In Descending Order Using Python sort() List Method
- Custom Sorting Using The Key Parameter Of Python sort() List Method
- Examples Of Python sort() List Method
- What Is The sorted() List Method In Python
- Differences Between sorted() And sort() List Methods In Python
- When To Use sorted() & When To Use sort() List Method In Python
- Conclusion
- Frequently Asked Questions
- Take A Quick Python's sort() Quiz!
Table of content:
- What Is A List In Python?
- What Is A String In Python?
- Why Convert Python List To String?
- How To Convert List To String In Python?
- The join() Method To Convert Python List To String
- Convert Python List To String Through Iteration
- Convert Python List To String With List Comprehension
- The map() Function To Convert Python List To String
- Convert Python List to String Using format() Function
- Convert Python List To String Using Recursion
- Enumeration Function To Convert Python List To String
- Convert Python List To String Using Operator Module
- Python Program To Convert String To List
- Conclusion
- Frequently Asked Questions
- Convert Lists To Strings Like A Pro! Take A Quiz
Table of content:
- What Is Inheritance In Python?
- Python Inheritance Syntax
- Parent Class In Python Inheritance
- Child Class In Python Inheritance
- The __init__() Method In Python Inheritance
- The super() Function In Python Inheritance
- Method Overriding In Python Inheritance
- Types Of Inheritance In Python
- Special Functions In Python Inheritance
- Advantages & Disadvantages Of Inheritance In Python
- Common Use Cases For Inheritance In Python
- Best Practices for Implementing Inheritance in Python
- Avoiding Common Pitfalls in Python Inheritance
- Conclusion
- Frequently Asked Questions
- 💡 Python Inheritance Quiz – Are You Ready?
Table of content:
- What Is The Python List append() Method?
- Adding Elements To A Python List Using append()
- Populate A Python List Using append()
- Adding Different Data Types To Python List Using append()
- Adding A List To Python List Using append()
- Nested Lists With Python List append() Method
- Practical Use Cases Of Python List append() Method
- How append() Method Affects List Performance
- Avoiding Common Mistakes When Using Python List append()
- Comparing extend() With append() Python List Method
- Conclusion
- Frequently Asked Questions
- 🧠 Think You Know Python List append()? Take A Quiz!
Table of content:
- What Is A Linked List In Python?
- Types Of Linked Lists In Python
- How To Create A Linked List In Python
- How To Traverse A Linked List In Python & Retrieve Elements
- Inserting Elements In A Linked List In Python
- Deleting Elements From A Linked List In Python
- Update A Node Of Linked List In Python
- Reversing A Linked List In Python
- Calculating Length Of A Linked List In Python
- Comparing Arrays And Linked Lists In Python
- Advantages & Disadvantages Of Linked List In Python
- When To Use Linked Lists Over Other Data Structures
- Practical Applications Of Linked Lists In Python
- Conclusion
- Frequently Asked Questions
- 🔗 Linked List Logic: Can You Ace This Quiz?
Table of content:
- What Is Extend In Python?
- Extend In Python With List
- Extend In Python With String
- Extend In Python With Tuple
- Extend In Python With Set
- Extend In Python With Dictionary
- Other Methods To Extend A List In Python
- Difference Between append() and extend() In Python
- Conclusion
- Frequently Asked Questions
- Think You Know extend() In Python? Prove It!
Table of content:
- What Is Recursion In Python?
- Key Components Of Recursive Functions In Python
- Implementing Recursion In Python
- Recursion Vs. Iteration In Python
- Tail Recursion In Python
- Infinite Recursion In Python
- Advantages Of Recursion In Python
- Disadvantages Of Recursion In Python
- Best Practices For Using Recursion In Python
- Conclusion
- Frequently Asked Questions
- Recursive Thinking In Python: Test Your Skills!
Table of content:
- What Is Type Conversion In Python?
- Types Of Type Conversion In Python
- Implicit Type Conversion In Python
- Explicit Type Conversion In Python
- Functions Used For Explicit Data Type Conversion In Python
- Important Type Conversion Tips In Python
- Benefits Of Type Conversion In Python
- Conclusion
- Frequently Asked Questions
- Think You Know Type Conversion? Take A Quiz!
Table of content:
- What Is Scope In Python?
- Local Scope In Python
- Global Scope In Python
- Nonlocal (Enclosing) Scope In Python
- Built-In Scope In Python
- The LEGB Rule For Python Scope
- Python Scope And Variable Lifetime
- Best Practices For Managing Python Scope
- Conclusion
- Frequently Asked Questions
- Think You Know Python Scope? Test Yourself!
Table of content:
- Understanding The Continue Statement In Python
- How Does Continue Statement Work In Python?
- Python Continue Statement With For Loops
- Python Continue Statement With While Loops
- Python Continue Statement With Nested Loops
- Python Continue With If-Else Statement
- Difference Between Pass and Continue Statement In Python
- Practical Applications Of Continue Statement In Python
- Conclusion
- Frequently Asked Questions
- Python 'continue' Statement Quiz: Can You Ace It?
Table of content:
- What Are Control Statements In Python?
- Types Of Control Statements In Python
- Conditional Control Statements In Python
- Loop Control Statements In Python
- Control Flow Altering Statements In Python
- Exception Handling Control Statements In Python
- Conclusion
- Frequently Asked Questions
- Mastering Control Statements In Python – Take the Quiz!
Table of content:
- Difference Between Mutable And Immutable Data Types in Python
- What Is Mutable Data Type In Python?
- Types Of Mutable Data Types In Python
- What Are Immutable Data Types In Python?
- Types Of Immutable Data Types In Python
- Key Similarities Between Mutable And Immutable Data Types In Python
- When To Use Mutable Vs Immutable In Python?
- Conclusion
- Frequently Asked Questions
- Quiz Time: Mutable vs. Immutable In Python!
Table of content:
- What Is A List?
- What Is A Tuple?
- Difference Between List And Tuple In Python (Comparison Table)
- Syntax Difference Between List And Tuple In Python
- Mutability Difference Between List And Tuple In Python
- Other Difference Between List And Tuple In Python
- List Vs. Tuple In Python | Methods
- When To Use Tuples Over Lists?
- Key Similarities Between Tuples And Lists In Python
- Conclusion
- Frequently Asked Questions
- 🧐 Lists vs. Tuples Quiz: Test Your Python Knowledge!
Table of content:
- Introduction to Python
- Downloading & Installing Python, IDLE, Tkinter, NumPy & PyGame
- Creating A New Python Project
- How To Write Python Hello World Program In Python?
- Way To Write The Hello, World! Program In Python
- The Hello, World! Program In Python Using Class
- The Hello, World! Program In Python Using Function
- Print Hello World 5 Times Using A For Loop
- Conclusion
- Frequently Asked Questions
- 👋 Python's 'Hello, World!'—How Well Do You Know It?
Table of content:
- Algorithm Of Python Program To Add To Numbers
- Standard Program To Add Two Numbers In Python
- Python Program To Add Two Numbers With User-defined Input
- The add() Method In Python Program To Add Two Numbers
- Python Program To Add Two Numbers Using Lambda
- Python Program To Add Two Numbers Using Function
- Python Program To Add Two Numbers Using Recursion
- Python Program To Add Two Numbers Using Class
- How To Add Multiple Numbers In Python?
- Add Multiple Numbers In Python With User Input
- Time Complexities Of Python Programs To Add Two Numbers
- Conclusion
- Frequently Asked Questions
- 💡 Quiz Time: Python Addition Basics!
Table of content:
- Swapping in Python
- Swapping Two Variables Using A Temporary Variable
- Swapping Two Variables Using The Comma Operator In Python
- Swapping Two Variables Using The Arithmetic Operators (+,-)
- Swapping Two Variables Using The Arithmetic Operators (*,/)
- Swapping Two Variables Using The XOR(^) Operator
- Swapping Two Variables Using Bitwise Addition and Subtraction
- Swap Variables In A List
- Conclusion
- Frequently Asked Questions (FAQs)
- Quiz To Test Your Variable Swapping Knowledge
Table of content:
- What Is A Quadratic Equation? How To Solve It?
- How To Write A Python Program To Solve Quadratic Equations?
- Python Program To Solve Quadratic Equations Directly Using The Formula
- Python Program To Solve Quadratic Equations Using The Complex Math Module
- Python Program To Solve Quadratic Equations Using Functions
- Python Program To Solve Quadratic Equations & Find Number Of Solutions
- Python Program To Plot Quadratic Functions
- Conclusion
- Frequently Asked Questions
- Quadratic Equations In Python Quiz: Test Your Knowledge!
Table of content:
- What Is Decimal Number System?
- What Is Binary Number System?
- What Is Octal Number System?
- What Is Hexadecimal Number System?
- Python Program to Convert Decimal to Binary, Octal, And Hexadecimal Using Built-In Function
- Python Program To Convert Decimal To Binary Using Recursion
- Python Program To Convert Decimal To Octal Using Recursion
- Python Program To Convert Decimal To Hexadecimal Using Recursion
- Python Program To Convert Decimal To Binary Using While Loop
- Python Program To Convert Decimal To Octal Using While Loop
- Python Program To Convert Decimal To Hexadecimal Using While Loop
- Convert Decimal To Binary, Octal, And Hexadecimal Using String Formatting
- Python Program To Convert Binary, Octal, And Hexadecimal String To A Number
- Complexity Comparison Of Python Programs To Convert Decimal To Binary, Octal, And Hexadecimal
- Conclusion
- Frequently Asked Questions
- 💡 Decimal To Binary, Octal & Hex: Quiz Time!
Table of content:
- What Is A Square Root?
- Python Program To Find The Square Root Of A Number
- The pow() Function In Python Program To Find The Square Root Of Given Number
- Python Program To Find Square Root Using The sqrt() Function
- The cmath Module & Python Program To Find The Square Root Of A Number
- Python Program To Find Square Root Using The Exponent Operator (**)
- Python Program To Find Square Root With A User-Defined Function
- Python Program To Find Square Root Using A Class
- Python Program To Find Square Root Using Binary Search
- Python Program To Find Square Root Using NumPy Module
- Conclusion
- Frequently Asked Questions
- 🤓 Think You Know Square Roots In Python? Take A Quiz!
Table of content:
- Understanding the Logic Behind the Conversion of Kilometers to Miles
- Steps To Write Python Program To Convert Kilometers To Miles
- Python Program To Convert Kilometer To Miles Without Function
- Python Program To Convert Kilometer To Miles Using Function
- Python Program to Convert Kilometer To Miles Using Class
- Tips For Writing Python Program To Convert Kilometer To Miles
- Conclusion
- Frequently Asked Questions
- 🧐 Mastered Kilometer To Mile Conversion? Prove It!
Table of content:
- Why Build A Calculator Program In Python?
- Prerequisites To Writing A Calculator Program In Python
- Approach For Writing A Calculator Program In Python
- Simple Calculator Program In Python
- Calculator Program In Python Using Functions
- Creating GUI Calculator Program In Python Using Tkinter
- Conclusion
- Frequently Asked Questions
- 🧮 Calculator Program In Python Quiz!
Table of content:
- The Calendar Module In Python
- Prerequisites For Writing A Calendar Program In Python
- How To Write And Print A Calendar Program In Python
- Calendar Program In Python To Display A Month
- Calendar Program In Python To Display A Year
- Conclusion
- Frequently Asked Questions
- Calendar Program In Python – Quiz Time!
Table of content:
- What Is The Fibonacci Series?
- Pseudocode Code For Fibonacci Series Program In Python
- Generating Fibonacci Series In Python Using Naive Approach (While Loop)
- Fibonacci Series Program In Python Using The Direct Formula
- How To Generate Fibonacci Series In Python Using Recursion?
- Generating Fibonacci Series In Python With Dynamic Programming
- Fibonacci Series Program In Python Using For Loop
- Generating Fibonacci Series In Python Using If-Else Statement
- Generating Fibonacci Series In Python Using Arrays
- Generating Fibonacci Series In Python Using Cache
- Generating Fibonacci Series In Python Using Backtracking
- Fibonacci Series In Python Using Power Of Matix
- Complexity Analysis For Fibonacci Series Programs In Python
- Applications Of Fibonacci Series In Python & Programming
- Conclusion
- Frequently Asked Questions
- 🤔 Think You Know Fibonacci Series? Take A Quiz!
Table of content:
- Different Ways To Write Random Number Generator Python Programs
- Random Module To Write Random Number Generator Python Programs
- The Numpy Module To Write Random Number Generator Python Programs
- The Secrets Module To Write Random Number Generator Python Programs
- Understanding Randomness and Pseudo-Randomness In Python
- Common Issues and Solutions in Random Number Generation
- Applications of Random Number Generator Python
- Conclusion
- Frequently Asked Questions
- Think You Know Python's Random Module? Prove It!
Table of content:
- What Is A Factorial?
- Algorithm Of Program To Find Factorial Of A Number In Python
- Pseudocode For Factorial Program in Python
- Factorial Program In Python Using For Loop
- Factorial Program In Python Using Recursion
- Factorial Program In Python Using While Loop
- Factorial Program In Python Using If-Else Statement
- The math Module | Factorial Program In Python Using Built-In Factorial() Function
- Python Program to Find Factorial of a Number Using Ternary Operator(One Line Solution)
- Python Program For Factorial Using Prime Factorization Method
- NumPy Module | Factorial Program In Python Using numpy.prod() Function
- Complexity Analysis Of Factorial Programs In Python
- Conclusion
- Frequently Asked Questions
- Think You Know Factorials In Python? Take A Quiz!
Table of content:
- What Is Palindrome In Python?
- Check Palindrome In Python Using While Loop (Iterative Approach)
- Check Palindrome In Python Using For Loop And Character Matching
- Check Palindrome In Python Using The Reverse And Compare Method (Python Slicing)
- Check Palindrome In Python Using The In-built reversed() And join() Methods
- Check Palindrome In Python Using Recursion Method
- Check Palindrome In Python Using Flag
- Check Palindrome In Python Using One Extra Variable
- Check Palindrome In Python By Building Reverse, One Character At A Time
- Complexity Analysis For Palindrome Programs In Python
- Real-World Applications Of Palindrome In Python
- Conclusion
- Frequently Asked Questions
- Think You Know Palindromes? Take A Quiz!
Table of content:
- Best Python Books For Beginners
- Best Python Books For Intermediate Level
- Best Python Books For Experts
- Best Python Books To Learn Algorithms
- Audiobooks of Python
- Best Books To Learn Python And Code Like A Pro
- To Learn Python Libraries
- Books To Provide Extra Edge In Python
- Python Project Ideas - Reference
- Quiz To Rehash Your Knowledge Of Python Books!
Print() Function In Python | Variations & Use Cases (+Code Examples)

The print statement in Python is your go-to tool for displaying information on the screen. Whether you're debugging, showcasing results, or simply saying "Hello, World!", the print() function is an essential starting point for any Python developer.
In this article, we will discuss the print statement in Python language in detail, as well as its use cases, variations, and more, with the help of code examples.
What Is The Print() Function In Python?
The print() function/ statement in Python is a built-in function used to output information to the console/ standard output device. It helps programmers display data, debug code, or present results during program execution.
Whether it's a simple message, a variable's value, or a combination of multiple data types, the print function is the most common way to communicate with users or track what your program is doing. Its syntax varies from simple string literals to advanced parameters like sep, end, flush, etc.
Syntax Of The print() Function In Python
Before diving into the nuts and bolts of the print function, let’s take a quick look at its syntax.
print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False)
Let's break down the different components of this syntax.
Parameters Of print Statement In Python
The print() function in Python comes with several optional parameters that let you customize its behavior. These include:
- The objects parameter refers to the multiple arguments, separated by commas that the function accepts. Each argument is converted to a string and printed.
- The separator/ sep parameter helps define a string to be inserted between arguments. By default, it is a blank space (' ').
- The End Character/ end parameter specifies what is appended at the end of the output. The default is a newline character ('\n').
- The file parameter is used to redirect the output to a file or stream instead of the default sys.stdout.
- The flush parameter takes boolean (True or False) values. When set to True, this boolean parameter forces the output to be written immediately to the file or stream, which is useful for buffering scenarios.
The parameters end, sep, flush and file are all optional as they have default values and can also be referred to as keyword arguments. We will discuss these parameters/ keyword arguments and the variations they bring to the print statement in Python programming in later sections.
Return Type Of print Statement In Python
The print() function doesn’t return any value. Instead, it returns None because its sole purpose is to display output to the console or a specified stream. Let's look at the lines of code below for a better understanding.
Code Example:
#Using print statement to output a string literal and assigning it to result variable
result = print("Hello, Unstoppable!")
#Printing the value stored in the result variable
print(result)
Output:
Hello, Unstoppable!
None
Explanation:
This initial code example is the simplest form of the print statement in Python. Here,
- We first use the print statement to display the string– "Hello, Unstoppable!", it outputs the string to the console.
- Simultaneously, we assign the return value of the print statement to the variable result.
- When we print the value stored in this variable, it outputs None, indicating that this is the value returned by print().
How Does The print() Function Work In Python?
The print() function in Python bridges the gap between your program and the console, enabling you to display text or other data.
- Internally, print() takes the objects you pass to it, converts them to their string representation using the str() function, and sends the resulting text to the standard output (usually the console).
- When multiple arguments are provided, they are separated by the sep parameter, which defaults to a single space.
- The output automatically ends with the character defined by the end parameter, which is a newline (\n) by default.
- This newline character ensures that subsequent calls to print() begin on a new line, keeping your output neatly formatted.
Example Of print() Function In Python
Let’s see how the built-in function print() works in action. The simple Python program example below showcases various aspects of the function, including its default newline behavior and the ability to modify the separator between strings.
Code Example:
#Using print to display a simple message
print("Hello, World!")
#Printing multiple arguments separated by default space
print("Unstop", "is", "awesome!")
#Printing with a custom separator
print("2024", "11", "20", sep="-")
#Printing on the same line using a custom end parameter
print("Python rocks!", end=" ")
print("Right?")
Output:
Hello, World!
Unstop is awesome!
2024-11-20
Python rocks! Right?
Explanation:
In the simple Python code example,
- We first use the print() function for a single output string– "Hello, World!" enclosed in double quotes. As mentioned before, the function, by default, ends with a newline character (\n), moving the cursor to the next line.
- In the second statement, we pass three strings– "Unstop", "is", and "awesome!" –separated by commas. The statement prints these string objects with the default separator, a blank space.
- Then, in the third statement, we again pass three numbers in string format and specify a custom separator (a hyphen "-") using the sep parameter. This replaces the default single space between arguments, resulting in a formatted date.
- Next, we pass a string literal and use the end parameter set to a blank space in the print statement. This replaces the default newline character in the function and allows the next print statement to display the result in the same line.
How To Print Single & Multi-line Strings In Python?
Printing strings is one of the most basic and frequent tasks when working with Python. You can also combine multiple strings or format them for more complex use cases.
- The print() function in Python makes it incredibly easy to display string literals/ data.
- As with defining strings, we can use the single quotes (') or double quotes (") enclosure methods when printing strings.
- Alternatively, we also print multi-line strings using triple quotes (''' or """).
The Python program example below illustrates how to print different string formats using the print() function.
Code Example:
#Printing a single-line string literal using single quotes
print('Hello, Unstop!')
#Printing a single-line string using double quotes
print("Hello, Unstoppable!")
#Printing a multi-line string using triple double quotes
multi_line_string = """This is a multi-line string.
It spans multiple lines,
and is enclosed in triple quotes."""
print(multi_line_string)
#Directly printing multi-line text using triple single quotes
print(''' Python makes handling multi-line
strings straightforward! ''')
Output:
Hello, Unstop!
Hello, Unstoppable!
This is a multi-line string.
It spans multiple lines,
and is enclosed in triple quotes.
Python makes handling multi-line
strings straightforward!
Explanation:
In the Python code example,
- In the first two print() function calls, we print single-line string literals using the single quotes(') and double quotes (") methods. Both methods are interchangeable in Python.
- In the next print() function call, we use the triple double quotes (""") method to define a multi-line string, allowing the text to span multiple lines.
- In the last print() function call, we print a multi-line text directly using triple single quotes ('''), which works similarly to triple double quotes.
This flexibility ensures you can choose the style that suits your code, whether for single-line messages or structured multi-line text.
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How To Print Built-in Data Types In Python?
The print() function can handle more than just strings. You can use it to output integers, floats, booleans, lists, dictionaries, and more. The example Python program below illustrates how to use the print statement with a variety of built-in data types.
Code Example:
#Printing different built-in data types
print(42) # Integer
print(3.14) # Float
print(True) # Boolean
print([1, 2, 3]) # List
print({"name": "Vani", "age": 25}) # Dictionary
Output:
42
3.14
True
[1, 2, 3]
{'name': 'Vani', 'age': 25}
Explanation:
In the example Python code,
- We use three print statements to display the built-in types– float, integer and boolean.
- Note that the print() function in Python automatically converts non-string data types like floats, booleans, and integer to string representation.
- We then use the print statement to display lists and dictionary type in their literal forms, complete with square brackets ([]) for Python lists and curly braces ({}) for dictionaries.
This example illustrates the versatility of the print statement in Python and its use for a wide range of data visualization tasks.
Print() Function In Python For Values Stored In Variables
The print() function is often used to display the contents stored in variables. This is especially helpful for debugging or tracking the flow of your program. You can print single variables, combine multiple variables, or even format them for readability.
Code Example:
#Storing values in variables
x = 10
y = 20
result = x + y
#Printing variables individually
print("x:", x)
print("y:", y)
#Printing combined variables with a message
print("The sum of x and y is:", result)
Output:
x: 10
y: 20
The sum of x and y is: 30
Explanation:
In the Python example code,
- We first create three variables: x with the value 10, y with the value 20 and the result with the sum of x and y.
- Then, we use two print statements to display the values of x and y variables.
- Next, we use another print statement combining a string message with the value of result, which holds the sum of x and y.
This approach provides clear and readable outputs, making it easy to understand what the variables represent and how their values change.
Print() Function In Python With sep Parameter
By default, the print() function separates multiple arguments with a single space. This is also the default value for the sep parameter, meaning it controls the behavior of the separator in print statements in Python.
- You can, hence, use this parameter to specify a custom separator for the arguments being printed.
- For example, you can replace the default blank space with a dash, a comma, or even a combination of characters.
In short, you can easily modify the separator to suit your needs with the sep keyword argument.
Code Example:
#Default separator (space)
print("Python", "is", "fun")
#Using a custom separator: dash
print("Python", "is", "fun", sep="-")
#Using a custom separator: slash
print("2024", "11", "20", sep="/")
#Using a combination of characters as a separator
print("Hello", "World", sep=" <--> ")
Output:
Python is fun
Python-is-fun
2024/11/20
Hello <--> World
Explanation:
In the sample Python program,
- We first print three strings using a single print statement. As seen in the output here, the strings are separated by single spaces by default.
- Next, we print the same set of string literals but also specify a custom separator– hyphen (–) sep argument.
- Then, we use a slash (/) as a separator to format a date, where we pass three numbers in string format to the print statement.
- And lastly, we use a more complex separator (<-->), showcasing the flexibility of the parameter and the print statement in Python.
Print() Function In Python With end Parameter
By default, every print statement in Python ends with a newline (\n). This means the output of the next print call begins on a new line.
- Hence, you can use the end parameter to customize this behavior by specifying what should be appended at the end of the printed output.
- That is, you can use it to continue output on the same line or add custom characters.
Code Example:
#Default behavior (newline)
print("Hello")
print("World")
#Using a space as the end character
print("Hello", end=" ")
print("World")
#Using three dots as the end character
print("Loading", end="...")
print("Complete")
#Combining different end characters
print("Python", end=", ")
print("is", end=" - ")
print("awesome!")
Output:
Hello
World
Hello World
Loading...Complete
Python, is - awesome!
Explanation:
In the sample Python code,
- We use two print statements to display the contents of strings– "Hello" and "World".
- As is evident in the output, the content of the second string is displayed in a newline after the first one. This shows the default endline (newline character) behavior of the print statement in Python since we did not use the end parameter.
- Then, we use another pair of print statements to display two more strings. This time, we use the end parameter and replace the default with three dots in the first statement. As a result, both the strings are displayed in the same line, separated by the dots.
- In the next three print statements, we combine multiple characters with the use of the end parameter to format the output dynamically.
Print() Function In Python With flush Parameter
By default, the output of the print() function is buffered, meaning it may not be displayed immediately. The flush argument/ parameter forces the output to be written to the console or stream immediately when set to True. This is particularly useful in scenarios like real-time logging or progress updates.
Code Example:
#Importing the time module
import time
#Printing without flush (default buffering behavior)
for i in range(5):
print(i, end=" ", flush=False)
time.sleep(1) # Simulate delay
print() # Newline for clarity
#Printing with flush (immediate output)
for i in range(5):
print(i, end=" ", flush=True)
time.sleep(1) # Simulate delay
Output:
0 1 2 3 4
0 1 2 3 4 # Flushed (Each number appears immediately)
Explanation:
In the Python program sample,
- We use a for loop and a print statement to display five numbers (0-4) with the flush parameter set to its default value (False).
- Python's standard output is line-buffered by default, i.e., it is stored in a buffer and displayed all at once when the buffer is flushed (typically at the end of the loop or when a newline character is encountered).
- As a result, even though time.sleep(1) introduces a 1-second delay between iterations and all numbers (0–4) are displayed at once when the loop completes.
- Then, we use a second for loop to print the same numbers, with the flush argument set to True.
- This forces the output buffer to flush immediately after each print() call, ensuring each number appears on the console right away, even with the 1-second delay between iterations.
- This behavior is particularly useful for real-time logging, progress indicators, or streaming output scenarios.
This example highlights how flush can be used to gain precise control over the timing of output in Python programs.
Print() Function In Python With file Parameter
The Python print statement outputs data to the console (standard output) by default. However, there are scenarios where you may want to redirect the output to a file instead of the screen. For this, you must use the file parameter of the print() function. It accepts a file-like object.
In other words, the print() function in Python, by default, sends its output to sys.stdout. But you can alter this by passing a file object to the file parameter to direct the output to a file instead. To use this Python feature,
- First, open a file in writing mode ('w' or 'a'). If the file doesn't exist, Python will create it.
- For binary files or more complex file handling, ensure that the file is opened in the appropriate mode ('wb' for binary, for example).
- Once the file is open, you can use the file parameter to specify where you want to direct the output.
When working with file-like objects, the print() function will write the output to the file, just as it would display it on the console. Let's look at an example where we use a dummy file to show the use of this parameter.
Code Example:
#Open a dummy file in write mode
with open('output.txt', 'w') as sourceFile:
# Using print() to write data to the file
print("This is a test message.", file=sourceFile)
print("Python is writing this to a file.", file=sourceFile)
#Opening the dummy file in reading mode to show its content
with open('output.txt', 'r') as sourceFile:
content = sourceFile.read()
print("Contents of output.txt:")
print(content)
Output In Console:
Contents of output.txt:
This is a test message.
Python is writing this to a file.
Explanation:
In the Python code sample,
- We first open a dummy file (output.txt) in writing mode ('w') using the open() function. This creates the file if it doesn’t already exist.
- Within the with block, we use two print statements to write messages to the file by specifying the file-like object (sourceFile) as the file parameter.
- The file parameter redirects the standard output (console) to the specified file.
- After writing to the file, we reopen it in the reading mode ('r') to verify its contents.
- We use the read() method to read the contents of the file and display it on the console using print inside the with block.
Notes:
- Automatic File Handling: The with statement ensures proper opening and closing of the file, even if an error occurs during the file operation.
- Default Behavior: If the file doesn’t exist, Python creates it automatically. If it already exists, opening it in 'w' mode overwrites its contents.
- Use with Binary Files: By switching the mode string to 'wb', you can write binary data to a file, adapting this method for diverse use cases.
- Application: The file parameter to write to files is useful for logging, saving outputs for future reference, generating reports, or persisting data.
- By using file objects in writing mode, you can redirect output effectively, bypassing the default console printing.
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How To Remove Newline From print() Function In Python?
As we've mentioned before, the Python print() function, by default, adds a newline character (\n) after each output. This results in the output of the next print statement appearing on a new line.
- In certain situations, you might want to suppress this default behavior and print on the same line.
- To remove the newline, you can set the end parameter to specify how to end the line.
- For example, you can replace the newline with an empty string (end='') or use any other string (such as a space, comma, or dot) to separate printed outputs without starting a new line.
For more, read: How To Print Without Newline In Python? (Mulitple Ways + Examples)
Use Cases Of The print() Function In Python
Let’s explore some use cases of the print statement in Python, showcasing its flexibility to handle different data types, special characters, and even file output. While we’ve already discussed parameters like sep, end, and flush, this section will highlight additional features that elevate the print() function’s utility.
1. Printing Unicode And Special Characters
Python allows printing special characters like Unicode symbols, emojis, and even characters from non-English alphabets. To do this, you simply include the character or Unicode escape sequence directly in the string.
Code Example:
#Example of printing Unicode and special characters
print("Hello, world! ð")
print("Unicode character for Pi: \u03A0")
Output:
Hello, world! 😊
Unicode character for Pi: Π
In this case, the print() function handles the Unicode characters seamlessly. Unicode characters can be specified using the escape sequence (e.g., \u03A0 for Pi). These characters make it easy to work with internationalization and special symbols.
2. Printing Custom Strings With Format Strings
If you want to print custom strings with dynamic values, Python’s string formatting options—like f-strings, .format(), or the % operator—work seamlessly with the print statement. This allows you to integrate variables directly into strings.
Code Example:
name = "Shivani"
age = 30
#Using f-strings for formatting
print(f"Hello, my name is {name} and I am {age} years old.")
Output:
Hello, my name is Shivani and I am 30 years old.
Here, f-strings let you embed variables directly within strings. The result is a custom string that can change dynamically depending on the values of the variables, making it ideal for displaying dynamic information.
3. Printing A Formatted Numeric String
Sometimes, you need to format numbers, like controlling the number of decimal places, padding, or alignment. You can do that by using string formatting within the print statement in Python.
Code Example:
#Printing a number with specific formatting
value = 3.14159
#Print 2 decimal places
print(f"Value of Pi: {value:.2f}")
Output:
Value of Pi: 3.14
Here, we use a formatted string approach inside the print statement to display text with numbers. We also use the format specifier (.2f) to ensure that the floating-point number is displayed with two decimal places. This comes in handy when you need to format numerical data cleanly for reports, logs, or user-facing interfaces.
4. Printing With File-like Objects
As we discussed earlier, print() can be used to direct output to a file or file-like object (like sys.stdout). When working with file output, you can specify the file parameter in print() to control where the output goes.
Code Example:
#Example of redirecting output to a file
with open('output.txt', 'w') as file:
print("This is written to the file.", file=file)
Output:
This is written to the file.
By passing a file object (like file) to the print() function, you redirect the output from the console to the file. This is a great way to log information or generate reports programmatically.
5. Printing Concatenated Strings
String concatenation is the process of combining multiple strings into a single one. The print() function can seamlessly handle string concatenation using the plus/ concatenation operator (+) or by separating the strings with commas (,).
Code Example:
#Using the + operator for concatenation
first_name = "Arya"
last_name = "Mallik"
print("Hello, " + first_name + " " + last_name + "!")
#Using commas for concatenation (avoiding explicit +)
greeting = "Welcome"
print(greeting, first_name, last_name + "!")
#Combining variables and literals in one line
age = 25
print(first_name + " is " + str(age) + " years old.")
Output:
Hello, Arya Mallik!
Welcome Arya Mallik!
Arya is 25 years old.
Here,
- We first define two variables, first_name with the value "Arya" and last_name with the value "Mallik".
- Then, we use the addition operator (+) to concatenate them with other strings and explicit spaces/ punctuation formatting inside a print statement.
- Next, we define another string variable greeting with the value "Welcome".
- After that, we pass all three variables to a print statement, separated by commas and concatenate an exclamation mark at the end. Here, print() automatically inserts default spaces between arguments.
- Lastly, we define an age variable with value 25, and use a print statement to demonstrate the concatenation of strings with numeric values by converting the number into a string using the str() function. This is necessary because the concatenation operator (+) only works between strings.
Understanding Print Statement In Python 2 Vs. Python 3
The print functionality in Python underwent a significant change with Python 3. In Python 2, print was a statement, while in Python 3, it became a function. This change was made to bring consistency and improve extensibility within the language.
Print Is A Function In Python 3
In Python 3, print is a built-in function, which means it requires parentheses around its arguments. This design allows for more advanced features like parameterized outputs and improved readability.
Code Example:
#Printing with Python 3
print("Hello, Python 3!")
print("Numbers:", 1, 2, 3, sep=" - ")
Output:
Hello, Python 3!
Numbers: 1 - 2 - 3
Note that the parentheses are mandatory because print is a function. Additional features like sep and end parameters provide flexibility, such as customizing separators or avoiding newlines.
Print Was A Statement In Python 2
In Python 2, print was a statement, so no parentheses were required (though they could still be used as part of grouping). This approach limited the flexibility of the print keyword and made it harder to extend functionality.
Code Example:
#Printing with Python 2
print "Hello, Python 2!"
print "Sum:", 1, 2, 3
Output:
Hello, Python 2!
Sum: 1 2 3
Note that here, the parentheses were optional unless explicitly needed for grouping expressions and features like sep and end were unavailable, so custom behaviors required additional workarounds. Also, redirecting output (e.g., to files) also lacked the simplicity introduced in Python 3.
The shift from a statement in Python 2 to a function in Python 3 not only modernized the language but also provided users with more control over output formatting.
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Conclusion
The print statement in Python is a versatile tool that goes beyond basic data display. From simple outputs to managing complex tasks like formatting, file redirection, and special parameters, the print() function embodies Python's philosophy of simplicity and power.
Its flexible syntax, powered by positional and keyword arguments (such as sep, end, flush, and file), offers precise control over output behavior for a wide range of scenarios. Understanding the print statement in Python will equip you to handle intricate projects with ease, enabling you to write clear, effective, and user-friendly programs.
Frequently Asked Questions
Q1: What is the default behavior of the print statement in Python?
The print statement in Python prints the provided arguments to the console, separated by a space (sep=' ') and ends with a newline character (end='\n') by default. It also writes to the standard output stream unless redirected using the file parameter.
Q2: Can I use print() to write output to a file?
Yes, the print() function supports the file parameter, which allows you to redirect the output to a file-like object instead of the console. For example:
with open('output.txt', 'w') as file:
print("Hello, File!", file=file)
This will write "Hello, File!" to output.txt.
Q3: How do I print without adding a newline?
You can use the end parameter to modify the default behavior. For example:
print("Hello", end=" ")
print("World!")
This outputs: Hello World! (without a newline between the two prints).
Q4: What does the flush parameter do in print()?
The flush parameter controls whether the output is immediately flushed to the console or file. By default, it is set to False, meaning output may be buffered. Setting it to True forces immediate output. This is particularly useful when working with real-time applications or logging.
Q5: Can I format strings using print()?
Yes, you can format strings using Python's f-strings, the format() method, or concatenation. For example:
name = "Shivani"
print(f"Hello, {name}!") # Using f-string
print("Hello, {}!".format(name)) # Using format()
The output for both print statements will be: Hello, Shivani!
Q6: Is print() available in Python 2?
Yes, but with a key difference. In Python 2, print is a statement, not a function. For instance:
print "Hello, World!" # Python 2 syntax
In Python 3, print() is a function and requires parentheses:
print("Hello, World!") # Python 3 syntax
Q10: How does print() differ from logging in Python?
While print() is primarily used for debugging and displaying output, the logging module is designed to manage application logs. Unlike print(), logging provides different levels of severity (e.g., DEBUG, INFO, WARNING), output formatting, and the ability to write logs to files or other destinations.
Know The print() Function In Python? Take A Quiz!
Using the print statement in Python must now be a cakewalk for you. Here are a few more Python topics you will enjoy:
- Python input() Function (+Input Casting & Handling With Examples)
- Python String.Replace() And 8 Other Ways Explained (+Examples)
- How To Convert Python List To String? 8 Ways Explained (+Examples)
- Relational Operators In Python | All 6 Types With Code Examples
- Difference Between List And Tuple In Python Explained (+Examples)
- Python Logical Operators, Short-Circuiting & More (With Examples)
An economics graduate with a passion for storytelling, I thrive on crafting content that blends creativity with technical insight. At Unstop, I create in-depth, SEO-driven content that simplifies complex tech topics and covers a wide array of subjects, all designed to inform, engage, and inspire our readers. My goal is to empower others to truly #BeUnstoppable through content that resonates. When I’m not writing, you’ll find me immersed in art, food, or lost in a good book—constantly drawing inspiration from the world around me.
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