Python
Python Basics
- Introduction to Python and Its History
- Python Syntax and Indentation
- Python Variables and Data Types
- Dynamic and Strong Typing
- Comments and Docstrings
- Taking User Input (input())
- Printing Output (print())
- Python Operators (Arithmetic, Logical, Comparison)
- Type Conversion and Casting
- Escape Characters and Raw Strings
Data Structures in Python
- Lists
- Dictionaries
- Dictionary Comprehensions
- Strings and String Manipulation
- Tuples
- Python Sets: Unordered Collections
- List Comprehensions and Generator Expressions
- Set Comprehensions
- String Formatting
- Indexing and Slicing
Control Flow and Loops
- Conditional Statements: if, elif, and else
- Loops and Iteration
- While Loops
- Nested Loops
- Loop Control Statements
- Iterators and Iterables
- List, Dictionary, and Set Iterations
Functions and Scope
- Defining and Calling Functions (`def`)
- Function Arguments (`*args`, `**kwargs`)
- Default Arguments and Keyword Arguments
- Lambda Functions
- Global and Local Scope
- Function Return Values
- Recursion in Python
Object-Oriented Programming (OOP)
- Object-Oriented Programming
- Classes and Objects
- the `__init__()` Constructor
- Instance Variables and Methods
- Class Variables and `@classmethod`
- Encapsulation and Data Hiding
- Inheritance and Subclasses
- Method Overriding and super()
- Polymorphism
- Magic Methods and Operator Overloading
- Static Methods
- Abstract Classes and Interfaces
Python Programs
- Array : Find median in an integer array
- Array : Find middle element in an integer array
- Array : Find out the duplicate in an array
- Array : Find print all subsets in an integer array
- Program : Array : Finding missing number between from 1 to n
- Array : Gap and Island problem
- Python Program stock max profit
- Reverse words in Python
- Python array duplicate program
- Coin change problem in python
- Python Write fibonacci series program
- Array : find all the pairs whose sum is equal to a given number
- Find smallest and largest number in array
- Iterate collections
- List comprehensions
- Program: Calculate Pi in Python
- String Formatting in Python
String Formatting in Python
In Python, string formatting allows you to create dynamic strings by incorporating variables or values into a text template. There are multiple ways to perform string formatting in Python. Here are a few common methods:
name = "Narender"age = 30print("My name is " + name + " and I am " + str(age) + " years old.")
name = "Narender"age = 25print("My name is %s and I am %d years old." % (name, age))
name = "Narender"age = 25print(f"My name is {name} and I am {age} years old.")
name = "Narender"age = 25print("My name is {} and I am {} years old.".format(name, age))
Each method provides a way to incorporate variables or values into a string. You can use different placeholders or format specifiers to control the formatting of variables, such as specifying the number of decimal places for a floating-point number or the width of a field.
It's worth noting that f-strings, introduced in Python 3.6, are generally considered the most convenient and readable way to perform string formatting in Python.