Added link to python version of some codes.

Codes/Python/Code-A2 (Huffman Coding).py

@@ -0,0 +1,95 @@
+# Code-A2 (Huffman Coding)
+
+import heapq
+
+# Node class for Huffman Tree
+class Node:
+    def __init__(self, char, freq):
+        self.char = char
+        self.freq = freq
+        self.left = None
+        self.right = None
+
+    # Comparison function for priority queue
+    def __lt__(self, other):
+        return self.freq < other.freq
+
+
+# Function to build Huffman Tree
+def build_huffman_tree(char_freq):
+    heap = [Node(ch, freq) for ch, freq in char_freq.items()]
+    heapq.heapify(heap)
+
+    while len(heap) > 1:
+        # Pick two smallest nodes (greedy choice)
+        left = heapq.heappop(heap)
+        right = heapq.heappop(heap)
+
+        # Merge them into a new node
+        merged = Node(None, left.freq + right.freq)
+        merged.left = left
+        merged.right = right
+
+        heapq.heappush(heap, merged)
+
+    return heap[0]
+
+
+# Function to generate Huffman codes
+def generate_codes(root, current_code="", codes={}):
+    if root is None:
+        return
+
+    if root.char is not None:
+        codes[root.char] = current_code
+
+    generate_codes(root.left, current_code + "0", codes)
+    generate_codes(root.right, current_code + "1", codes)
+    return codes
+
+
+# Main program
+text = input("Enter text to encode: ")
+
+# Step 1: Calculate frequency of each character
+freq = {}
+for ch in text:
+    freq[ch] = freq.get(ch, 0) + 1
+
+# Step 2: Build Huffman Tree using greedy approach
+root = build_huffman_tree(freq)
+
+# Step 3: Generate Huffman Codes
+codes = generate_codes(root)
+
+# Step 4: Encode the text
+encoded_text = "".join(codes[ch] for ch in text)
+
+# Step 5: Display results
+print("\nCharacter | Frequency | Huffman Code")
+print("------------------------------------")
+for ch in freq:
+    print(f"    {ch!r}     |     {freq[ch]}      |    {codes[ch]}")
+
+print("\nEncoded Text:", encoded_text)
+
+# SAMPLE OUTPUT
+"""
+Enter text to encode: lord kska git
+
+Character | Frequency | Huffman Code
+------------------------------------
+    'l'     |     1      |    1100
+    'o'     |     1      |    1101
+    'r'     |     1      |    001
+    'd'     |     1      |    1010
+    ' '     |     2      |    011
+    'k'     |     2      |    100
+    's'     |     1      |    000
+    'a'     |     1      |    010
+    'g'     |     1      |    1011
+    'i'     |     1      |    1111
+    't'     |     1      |    1110
+
+Encoded Text: 110011010011010011100000100010011101111111110
+"""

Codes/Python/Code-A5 (N-Queen).py

@@ -0,0 +1,74 @@
+# Code-A5 (N-Queen)
+
+def print_board(board, n):
+    for i in range(n):
+        for j in range(n):
+            print(board[i][j], end=" ")
+        print()
+    print()  # blank line between solutions
+
+
+def is_safe(board, row, col, n):
+    # Check column
+    for i in range(row):
+        if board[i][col] == 1:
+            return False
+
+    # Check upper-left diagonal
+    i, j = row, col
+    while i >= 0 and j >= 0:
+        if board[i][j] == 1:
+            return False
+        i -= 1
+        j -= 1
+
+    # Check upper-right diagonal
+    i, j = row, col
+    while i >= 0 and j < n:
+        if board[i][j] == 1:
+            return False
+        i -= 1
+        j += 1
+
+    return True
+
+
+def solve_n_queens(board, row, n):
+    if row == n:
+        print_board(board, n)
+        return True
+
+    res = False
+    for col in range(n):
+        if is_safe(board, row, col, n):
+            board[row][col] = 1
+            res = solve_n_queens(board, row + 1, n) or res
+            board[row][col] = 0  # backtrack
+
+    return res
+
+
+# Main program
+n = int(input("Enter number of queens: "))
+board = [[0 for _ in range(n)] for _ in range(n)]
+
+print(f"\nSolutions for {n}-Queens Problem:\n")
+if not solve_n_queens(board, 0, n):
+    print("No solution exists!")
+
+# SAMPLE OUTPUT
+"""
+Enter number of queens: 4
+
+Solutions for 4-Queens Problem:
+
+0 1 0 0 
+0 0 0 1 
+1 0 0 0 
+0 0 1 0 
+
+0 0 1 0 
+1 0 0 0 
+0 0 0 1 
+0 1 0 0 
+"""

README.md

@@ -25,6 +25,7 @@ This repository contains valuable resources for the Design and Analysis of Algor
 
 > [!NOTE]
 > C++ versions of all codes are available in the [./Codes/C++](./Codes/C++) directory.
+> Python version of some codes are available in [./Codes/Python](./Codes/Python) directory.
 
 ### Practical