Basic Algorithms in Python Programming – Generating All Permutations

Have you ever encountered a situation where you need to generate all permutations, such as generating all arrangements of cards in game design?

Students with a certain foundation in algorithms should be very adept at using the “recursion + backtracking” approach to solve such problems. However, Python has already implemented this for us, with the code being short (only 1 line) and almost 100% correct (unless a quantum event occurs = =), making it highly recommended for use.

Let’s start with some music to set the mood~

Let’s look at an example directly

from itertools import permutations# Generate all permutations (default length equals input sequence length)items = ['a', 'b', 'c']full_perms = permutations(items)print(list(full_perms))# Output: [('a', 'b', 'c'), ('a', 'c', 'b'), ('b', 'a', 'c'), # ('b', 'c', 'a'), ('c', 'a', 'b'), ('c', 'b', 'a')]

For example, generating all permutations of cards that might be used in game design

from itertools import permutationscards = ['J', 'Q', 'K']hands = list(permutations(cards, 2)) # All possible orders of 2 cardsprint(hands)

As the music ends, so does today’s learning session~Recommended Reading

  • Lambda Functions and Sort: Dazzling Sorting Techniques

  • Basic Algorithms in Python Programming – Custom Sorting with Lambda Functions and Sort
  • Prime Number Determination (Square Root Complexity)
  • Basic Algorithms in Python Programming – Prime Number Determination
  • One-liner to Determine Palindromes

  • Python Programming Tips – Checking for Palindromes

  • Using Zip to Merge Two Lists into a Dictionary

  • Python Programming Tips – Merging Lists into a Dictionary with Zip

  • One-liner to Solve Narcissistic Number Determination

  • Basic Algorithms in Python Programming – Narcissistic Number Determination

Here we have programming, algorithms, large models, music (popular/lesser-known), a little focus, come here every day to learn and listen to music~

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