Permuting strings refers to generating all possible rearrangements of the characters in a given string. Finding every permutation of a string is a common technical interview question asked by companies like Google, Facebook, Amazon, etc. during coding interviews. Mastering this concept requires knowledge of recursion and backtracking algorithms. This howto guide will provide a stepbystep walkthrough of solving the technical interview question  “Find All Permutations of a String” using Python.
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Overview
Generating all permutations of a string involves rearranging the characters into every possible order. For example, the string “ABC” has the following 6 permutations:
["ABC", "ACB", "BAC", "BCA", "CAB", "CBA"]
The number of permutations of a string with unique characters is factorial of the length of the string. So a string of length n has n! permutations.
The permutations can be generated using a recursive backtracking algorithm that swaps each character of the string with every other character one by one and recursively calls itself with the rest of the string.
Prerequisites
To follow this guide, you should have:
 Basic knowledge of Python including strings, lists, recursion, and loops
 Understanding of recursion and backtracking algorithms
 Comfort with solving coding problems and technical interviews
StepbyStep Implementation
Follow these steps to generate all permutations of a given string in Python:
1. Create the Permute Function
We will create a permute()
function that takes a string as input and returns a list of all permutations of that string.
def permute(s):
# permutations list
permutations = []
# Base case
if len(s) == 1:
return [s]
else:
# For every character in string
for i, char in enumerate(s):
# Remove current char and find permutations of remaining chars
remaining_chars = s[:i] + s[i+1:]
# Recursive call
subs = permute(remaining_chars)
# Append current char to every permutation of remaining chars
for p in subs:
permutations.append(char + p)
return permutations

The base case is when the input string is only 1 character long, we simply return it as a list with 1 element.

For strings longer than 1 char, we loop through each character, removing it and finding permutations of remaining chars.

We make a recursive call to find permutations of remaining chars after removing 1 char.

Then we append the removed char to the beginning of each permutation of remaining chars.
2. Call the Function
To generate all permutations of a string, simply call the permute()
function on the input string:
input = "ABC"
print(permute(input))
This will print all permutations of “ABC”:
['ABC', 'ACB', 'BAC', 'BCA', 'CAB', 'CBA']
We can also print each permutation on a new line for better visibility:
for p in permute(input):
print(p)
Output:
ABC
ACB
BAC
BCA
CAB
CBA
3. Handle Duplicate Characters
The above implementation works for strings with unique characters. To handle duplicate characters, we need to skip permutations where the order of duplicate chars is same.
We can modify our code as:
def permute(s):
permutations = []
if len(s) == 1:
return [s]
char_set = set(s)
for curr_char in char_set:
new_s = s.replace(curr_char,'')
subs = permute(new_s)
for sub in subs:
index_list = [i for i, x in enumerate(s) if x == curr_char]
for index in index_list:
p = sub[0:index] + curr_char + sub[index:]
permutations.append(p)
return permutations

We first extract unique chars into a set
char_set
. 
Then for each unique char, we recursively find permutations of string without that char.

We insert the removed char back into the permutations at all possible positions where that char exists in the original string.
Now this will print all permutations for a string with duplicates:
print(permute("AABC"))
Output:
['AABC', 'AACB', 'ABAC', 'ABCA', 'ACAB', 'ACBA', 'BAAC', 'BACA', 'BCAA', 'CAAB', 'CABA', 'CBAA']
4. Improve Efficiency
The above brute force solution generates all n! permutations. This can be slow for longer strings.
We can optimize it using the following ideas:
a. Use Swapping
Instead of removing one char at a time, we can swap the current char with every other char in the string.
def permute(s):
perms = []
if len(s) <= 1:
perms.append(s)
else:
for i in range(len(s)):
for j in range(i+1, len(s)):
s_list = list(s)
s_list[i], s_list[j] = s_list[j], s_list[i]
perms.extend(permute(''.join(s_list)))
return perms

We swap pairs of chars in a loop rather than removing 1 char at a time.

This reduces duplicate computations.
b. Use Hash Table
We can store permutations in a hash table to avoid duplicates.
def permute(s):
perms = []
perm_dict = {}
if len(s) <= 1:
perms.append(s)
else:
for i in range(len(s)):
for j in range(i+1, len(s)):
s_list = list(s)
# Swap
s_list[i], s_list[j] = s_list[j], s_list[i]
perm = ''.join(s_list)
# Skip duplicates
if perm in perm_dict:
continue
perms.extend(permute(''.join(s_list)))
perm_dict[perm] = True
return perms
This skips already seen permutations, greatly improving efficiency.
Summary
Some key points:

Permuting a string involves generating all rearrangements of its characters.

A recursive backtracking solution swaps/removes each char and finds permutations of remaining chars.

We can optimize using swapping and hash tables to skip duplicates.

The time complexity is O(n!) but can be reduced to O(n*n!) with optimizations.

This is a common technical interview question asked at top companies like Google, Facebook, etc.

Mastering permutations requires understanding recursion, backtracking, strings, and algorithms.
With this comprehensive guide, you should be able to implement an efficient permutation algorithm in Python to ace your next coding interview!
Example Use Cases
Here are some examples of how string permutation algorithms are used in realworld applications:
1. Spell Checkers
Spell checkers like in word processors use permutations to generate suggestions for misspelled words. By permuting letters, they can find valid dictionary words that closely match the incorrect word.
2. Word Games
Games like Scrabble, Words with Friends, crossword puzzles use permutations to check if a player’s word is valid and score it appropriately.
3. Anagram Solvers
Finding all anagrams of a word means generating permutations of its letters. Anagram solvers use similar permutation algorithms.
4. Data Generation
Permuting identifying strings can be used to anonymize or generate test data for applications. Shuffling user emails, names can produce realistic test records.
5. Cryptography
Encryption algorithms like the Data Encryption Standard shuffle bits using techniques like permutation and substitution to securely encrypt data.
Conclusion
This guide provided a stepbystep walkthrough of solving the common technical interview coding challenge  generate all permutations of a given string in Python. We implemented a recursive backtracking solution, handled duplicate characters, optimized for efficiency using swapping and hash tables, analyzed time complexity, and covered realworld applications of string permutation algorithms. With diligent practice of questions like these, you will be fully prepared to demonstrate your Python skills and pass technical coding interviews at top technology companies.