Positional-Only Arguments in Python

UpComing SoftWare Training Demos

πŸš€ *Gen AI EngineerΒ Telugu (Production Focused)*
πŸ—“οΈ *Date:* 30th Sept 2026, 07:00AM IST
πŸ“ *Register Now!:*
https://www.vlrt.in/gr
πŸ‘₯ *Join WA Community:*
https://www.vlrt.in/gw
πŸ’‘*Course Content:*
https://www.vlrt.in/ai
▢️ *Demo Videos:*
https://www.vlrt.in/gv

πŸš€ *Service now Admin/ Development (ITSM)FREE Demo in Telugu*
πŸ—“οΈ *Date:* 30th Sept 2026, 08:00AM IST
πŸ“ *Register Now!:*
https://www.vlrt.in/7r
πŸ‘₯ *Join WA Community:*
https://www.vlrt.in/7w
πŸ’‘*Course Content:*
https://www.vlrt.in/7c
▢️ *Demo Videos:*
https://www.vlrt.in/7v

πŸš€ *Vulnerability Management Training Demo*
πŸ—“οΈ *Date:* 30th Sept 2026, 09:00 AM IST
πŸ“*Register Now!:*
https://www.vlrt.in/vr
πŸ‘₯ *Join Community:*
https://www.vlrt.in/cw
πŸ’‘ *Course Content:*
https://www.vlrt.in/vc
▢️ *Demo Videos:*
https://www.vlrt.in/Vm

Positional-Only Arguments in Python

Positional-only arguments are function parameters that must be passed by position (order) and cannot be passed by keyword name.

Syntax

Use the / symbol in the function definition to indicate that all parameters before it are positional-only:

python

def function_name(param1, param2, /, param3, param4):
    # function body

Simple Examples

Example 1: Basic Positional-Only Arguments

python

def calculate_area(length, width, /):
    area = length * width
    print(f"Area: {area} square units")

# These work (positional arguments):
calculate_area(5, 3)    # Output: Area: 15 square units
calculate_area(10, 2)   # Output: Area: 20 square units

# This will cause an ERROR (keyword arguments not allowed):
# calculate_area(length=5, width=3)

Example 2: Mixing Positional-Only and Regular Arguments

python

def create_person(name, age, /, country):
    print(f"Name: {name}, Age: {age}, Country: {country}")

# Valid calls:
create_person("Alice", 25, "USA")          # Positional for all
create_person("Bob", 30, country="Canada") # Positional for first two, keyword for last

# Invalid calls:
# create_person(name="Charlie", age=35, country="UK")  # ERROR: name and age are positional-only

Example 3: Practical Example – Math Operations

python

def power(base, exponent, /):
    result = base ** exponent
    print(f"{base} to the power of {exponent} = {result}")

power(2, 3)     # Output: 2 to the power of 3 = 8
power(5, 2)     # Output: 5 to the power of 2 = 25

# This would cause an error:
# power(base=2, exponent=3)

Example 4: With Default Arguments

python

def greet(name, /, message="Hello"):
    print(f"{message}, {name}!")

# Valid calls:
greet("John")                   # Output: Hello, John!
greet("Sarah", "Hi")            # Output: Hi, Sarah!
greet("Mike", message="Hey")    # Output: Hey, Mike!

# Invalid call:
# greet(name="Emma")  # ERROR: name is positional-only

Real-World Use Cases

Example 5: File Processing

python

def process_file(file_path, /, mode="read"):
    print(f"Processing {file_path} in {mode} mode")

process_file("data.txt")                # Output: Processing data.txt in read mode
process_file("image.jpg", "write")      # Output: Processing image.jpg in write mode

# This would be invalid:
# process_file(file_path="document.pdf")

Example 6: Coordinate System

python

def plot_point(x, y, /, color="black", size=1):
    print(f"Point at ({x}, {y}) with {color} color and size {size}")

plot_point(10, 20)                      # Output: Point at (10, 20) with black color and size 1
plot_point(5, 15, "red", 2)             # Output: Point at (5, 15) with red color and size 2
plot_point(3, 7, color="blue", size=3)  # Output: Point at (3, 7) with blue color and size 3

# Invalid:
# plot_point(x=1, y=2)

Key Points to Remember

  1. Positional-only arguments must come before theΒ /
  2. They cannot be passed using keyword syntax
  3. They make function APIs more strict and predictable
  4. Useful when parameter names might change in the future
  5. Helps prevent users from relying on specific parameter names

When to Use Positional-Only Arguments

  • When parameter names are not descriptive or might change
  • For mathematical functions where order matters (like coordinates)
  • When you want to enforce a specific calling convention
  • For internal functions where you want to prevent keyword usage

Positional-only arguments give you more control over how your functions are called!

Similar Posts

  • Dynamically Typed vs. Statically Typed Languages πŸ”„β†”οΈ

    Dynamically Typed vs. Statically Typed Languages πŸ”„β†”οΈ Dynamically Typed Languages πŸš€ Python Pros: Cons: Statically Typed Languages πŸ”’ Java Pros: Cons: Key Differences πŸ†š Feature Dynamically Typed Statically Typed Type Checking Runtime Compile-time Variable Types Can change during execution Fixed after declaration Error Detection Runtime exceptions Compile-time failures Speed Slower (runtime checks) Faster (optimized binaries)…

  • Date/Time Objects

    Creating and Manipulating Date/Time Objects in Python 1. Creating Date and Time Objects Creating Date Objects python from datetime import date, time, datetime # Create date objects date1 = date(2023, 12, 25) # Christmas 2023 date2 = date(2024, 1, 1) # New Year 2024 date3 = date(2023, 6, 15) # Random date print(“Date Objects:”) print(f”Christmas:…

  • reΒ module

    The re module is Python’s built-in module for regular expressions (regex). It provides functions and methods to work with strings using pattern matching, allowing you to search, extract, replace, and split text based on complex patterns. Key Functions in the re Module 1. Searching and Matching python import re text = “The quick brown fox jumps over the lazy dog” # re.search()…

  • Password Strength Checker

    python Enhanced Password Strength Checker python import re def is_strong(password): “”” Check if a password is strong based on multiple criteria. Returns (is_valid, message) tuple. “”” # Define criteria and error messages criteria = [ { ‘check’: len(password) >= 8, ‘message’: “at least 8 characters” }, { ‘check’: bool(re.search(r'[A-Z]’, password)), ‘message’: “one uppercase letter (A-Z)”…

  • Python timedelta Explained

    Python timedelta Explained timedelta is a class in Python’s datetime module that represents a duration – the difference between two dates or times. It’s incredibly useful for date and time arithmetic. Importing timedelta python from datetime import timedelta, datetime, date Basic Syntax python timedelta(days=0, seconds=0, microseconds=0, milliseconds=0, minutes=0, hours=0, weeks=0) Examples 1. Basic timedelta Creation python from datetime…

Leave a Reply

Your email address will not be published. Required fields are marked *