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
How to find small and largest number from array?
In this post, we explore the best way to find the smallest and largest number in an array using Python. We will provide step-by-step implementation of the algorithm, which involves traversing the array once to identify the smallest and largest elements.
By utilizing this approach, we can determine the minimum and maximum values in the array with a linear time complexity, making it suitable for large datasets. Understanding how to find the smallest and largest numbers in an array is fundamental for various data manipulation and statistical operations in programming and data analysis
def find_largest_smallest(numbers): if not numbers: return None # Return None for an empty array
smallest = largest = numbers[0] # Initialize smallest and largest with the first element
for num in numbers: if num < smallest: smallest = num elif num > largest: largest = num
return smallest, largest
integer_array = [5, 2, 9, 1, 7, 4]smallest_number, largest_number = find_largest_smallest(integer_array)print("Smallest number:", smallest_number)print("Largest number:", largest_number)
#Output
Smallest number: 1Largest number: 9