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PyAnimate

Interactive Python Lab

AI Wisdom

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PyAnimate

Interactive Python Lab

AI Wisdom

Interactive Python Lab

Anagram Check

The playground auto-runs on load. Hit Run My Code to trace your own Python — every step animated live.

Explain·Line by line

Replay·Step by step

Challenge·Guided prompts

XP·...

Data Flow Pipeline

intermediate Track

Binary Search

Selection Sort

Stack Operations

Insertion Sort

Hash Map Counting

Two Pointers

Queue Operations

Anagram Check

Sliding Window Max Sum

Merge Sorted Arrays

Explain

Line 2

Check lengths

Why this approach?

Anagrams must have the same length. This O(1) check catches obvious mismatches early — no need to count characters if lengths differ.

Structured Explanation

Overview

Two strings are anagrams if they contain exactly the same characters in any order.

Analogy

'Listen' and 'Silent' use the same letters rearranged.

Step-by-step

Sort both strings and compare: sorted(a) == sorted(b).
Or use Counter: Counter(a) == Counter(b).
Fastest: count array of 26 if lowercase ASCII only.

Visual

'anagram'→sorted→'aaagmnr'; 'nagaram'→sorted→'aaagmnr' → equal

Common mistakes

Forgetting to normalize case.
Not handling spaces/punctuation if the problem expects cleaned input.

Practice questions

Check if two sentences are anagrams ignoring spaces.
Find all anagram groups in a list of words.

Time

O(n log n) sort, O(n) counter

Space

O(n)

Complexity

Time

O(n)

Space

O(k) — k = unique chars

Complexity Overview

O(1)

O(log n)

O(n)time

O(n log n)

O(n²)

n = 8range 1-20

AT N = 8

Complexity	Operations
O(1)	1
O(log n)	3
O(n)	8
O(n log n)	24
O(n²)	64

Challenge

Check if ('listen', 'silent'), ('hello', 'world') are anagrams. Then find all anagram groups in ['eat','tea','tan','ate','nat','bat'].

Hint

Sort both strings and compare, OR use Counter(). For grouping, use sorted word as dict key.

Code Studio

Anagram Check

Monaco Ready

Python ready

lesson.pyline 2

Loading editor...

Output Console

1 lines

❯ Anagram: True

Real-World Applications

Comparing textual configurations

Fast validation guards

Data integrity scraping

Loading playground…

Interactive Python Lab

Anagram Check

The playground auto-runs on load. Hit Run My Code to trace your own Python — every step animated live.

Explain·Line by line

Replay·Step by step

Challenge·Guided prompts

XP·...

Data Flow Pipeline

intermediate Track

Binary Search

Selection Sort

Stack Operations

Insertion Sort

Hash Map Counting

Two Pointers

Queue Operations

Anagram Check

Sliding Window Max Sum

Merge Sorted Arrays

Explain

Line 2

Check lengths

Why this approach?

Anagrams must have the same length. This O(1) check catches obvious mismatches early — no need to count characters if lengths differ.

Structured Explanation

Overview

Two strings are anagrams if they contain exactly the same characters in any order.

Analogy

'Listen' and 'Silent' use the same letters rearranged.

Step-by-step

Sort both strings and compare: sorted(a) == sorted(b).
Or use Counter: Counter(a) == Counter(b).
Fastest: count array of 26 if lowercase ASCII only.

Visual

'anagram'→sorted→'aaagmnr'; 'nagaram'→sorted→'aaagmnr' → equal

Common mistakes

Forgetting to normalize case.
Not handling spaces/punctuation if the problem expects cleaned input.

Practice questions

Check if two sentences are anagrams ignoring spaces.
Find all anagram groups in a list of words.

Time

O(n log n) sort, O(n) counter

Space

O(n)

Complexity

Time

O(n)

Space

O(k) — k = unique chars

Complexity Overview

O(1)

O(log n)

O(n)time

O(n log n)

O(n²)

n = 8range 1-20

AT N = 8

Complexity	Operations
O(1)	1
O(log n)	3
O(n)	8
O(n log n)	24
O(n²)	64

Challenge

Check if ('listen', 'silent'), ('hello', 'world') are anagrams. Then find all anagram groups in ['eat','tea','tan','ate','nat','bat'].

Hint

Sort both strings and compare, OR use Counter(). For grouping, use sorted word as dict key.

Code Studio

Anagram Check

Monaco Ready

Python ready

lesson.pyline 2

Loading editor...

Output Console

1 lines

❯ Anagram: True

Real-World Applications

Comparing textual configurations

Fast validation guards

Data integrity scraping