Insertion Sort Algorithm
Insertion sort builds a sorted list one item at a time by placing each item in its correct position.
Table of Contents
What is insertion sort?
Insertion sort builds a sorted list one item at a time by placing each item in its correct position. Algorithms are important for improving problem-solving skills, writing efficient programs, and preparing for coding interviews.
Before studying algorithms, it helps to understand basic programming concepts in Python or JavaScript.
How insertion sort Works
- Start with an unsorted list.
- Compare values using the rules of the sorting algorithm.
- Move or swap values into better positions.
- Repeat until the list is sorted.
insertion sort in Python
numbers = [5, 2, 9, 1, 3]
numbers.sort()
print(numbers)insertion sort in JavaScript
const numbers = [5, 2, 9, 1, 3];
numbers.sort(function(a, b) {
return a - b;
});
console.log(numbers);Time Complexity
| Case | Complexity |
|---|---|
| Best | Depends on algorithm |
| Average | Usually O(n log n) or O(n?) |
| Worst | Usually O(n log n) or O(n?) |
To understand performance better, read Time Complexity Explained and Big O Notation.
Common Mistakes
- Memorizing code without understanding the steps.
- Ignoring edge cases such as empty lists, duplicate values, and missing targets.
- Forgetting to test the algorithm with small and large input values.
- Confusing time complexity with actual running time on one computer.
- Using an advanced algorithm when a simple solution is enough.
Frequently Asked Questions
Is insertion sort important?
Yes. It helps programmers solve problems efficiently and understand how code performance changes with input size.
Should beginners learn algorithms?
Yes. Beginners should learn basic searching, sorting, recursion, and Big O notation after learning programming fundamentals.
Which language is best for learning algorithms?
Python is beginner-friendly, while JavaScript is useful for web developers. Both are good for learning algorithms.
Continue Learning
Algorithms Tutorial | Python Tutorial | JavaScript Tutorial | Big O Notation