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Task/Hello.txt

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Task/Reetika Acharya/hi.txt

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Task/Reetika Acharya/q1.py

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+# -*- coding: utf-8 -*-
+"""Q1.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1_qefXhBTnSuDgCuwjyJm6uLQWpKgXtXy
+
+Q1. Given two strings s and t, return true if t is an anagram of s, and false otherwise
+"""
+
+def is_it_anagram(a, b):
+    return sorted(a) == sorted(b)
+
+a1 = "sharp"
+b1 = "harps"
+print(is_it_anagram(a1, b1))

Task/Reetika Acharya/q10.py

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+# -*- coding: utf-8 -*-
+"""Q10.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1-817KKsWYI-BHnRzBgKoNHHsPlkrKM14
+
+Problem 10: We need to transpose a 2D integer array matrix.
+"""
+
+def transpose_matrix(matrix):
+    transposed = []
+    for i in range(len(matrix[0])):
+        new_row = []
+        for row in matrix:
+            new_row.append(row[i])
+        transposed.append(new_row)
+    return transposed
+
+
+matrix_input = [
+    [2, 9, 0],
+    [7, 2, 0],
+    [0, 4, 1]
+]
+print(transpose_matrix(matrix_input))
+

Task/Reetika Acharya/q2.py

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+# -*- coding: utf-8 -*-
+"""Q2.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1OMuQ-7hTg1qkhu7dyIt0nX97cKzz14wx
+
+Problem 2: We need to count the frequency of each character in a string, considering upper and lower case letters separately, and ignoring spaces.
+"""
+
+def frequency_of_characters(s):
+    freq = {}
+    for char in s:
+        if char.isalpha():
+            if char in freq:
+                freq[char] += 1
+            else:
+                freq[char] = 1
+
+    sorted_chars = sorted(freq.keys())
+    for char in sorted_chars:
+        print("The character ", char ,", appears :", freq[char] ," number of times.")
+
+input_str = "The quick brown fox jumped over the lazy dog"
+frequency_of_characters(input_str)

Task/Reetika Acharya/q3.py

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+# -*- coding: utf-8 -*-
+"""Q3.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1sadMtX96lpZC9uzNofbnj6moykdE6JYa
+
+Problem 3: To increment a large integer represented as an array of digits, we can process the array from the end to handle the carry.
+"""
+
+def increment_number(digits):
+
+    reversed_digits = digits[::-1]
+
+    length = len(reversed_digits)
+    for i in range(length):
+        if reversed_digits[i] < 9:
+            reversed_digits[i] += 1
+            break
+        else:
+            reversed_digits[i] = 0
+
+
+    digits = reversed_digits[::-1]
+
+    return digits
+
+
+digits_input = [1, 4, 3, 1, 9]
+print(increment_number(digits_input))

Task/Reetika Acharya/q5.py

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+# -*- coding: utf-8 -*-
+"""Q5.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1CxRsflmUb0WMdPrh0IS21aJDs244tH0t
+
+Problem 5: Alternative way, that is taking images from a URL
+"""
+
+# We need some additional packages
+!pip install opencv-python-headless numpy requests pillow
+
+import cv2
+import numpy as np
+import requests
+from PIL import Image
+from io import BytesIO
+from google.colab.patches import cv2_imshow
+
+def detect_edges_from_url(image_url):
+    response = requests.get(image_url)
+    img = Image.open(BytesIO(response.content)).convert('RGB')
+    img = np.array(img)
+
+    # Converting to grayscale
+    gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
+
+    edges = cv2.Canny(gray, 100, 200)
+
+    cv2_imshow(cv2.cvtColor(img, cv2.COLOR_RGB2BGR))
+    cv2_imshow(edges)
+
+# Example:
+image_url = "https://www.omlet.nl/images/cache/438/512/90/Dog-Labrador_Retriever-A_healthy_adult_Labrador_sitting%2C_waiting_for_some_attention_from_it%27s_owner.webp"
+detect_edges_from_url(image_url)

Task/Reetika Acharya/q6.py

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+# -*- coding: utf-8 -*-
+"""Q6.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1f3HVSneY4soTc8fuknWI20HUEtIpAKiO
+
+Problem 6: We need to find the prime numbers in an array and compute the absolute difference between the smallest and largest ones.
+"""
+
+def is_prime(n):
+    if n <= 1:
+        return False
+    for i in range(2, n):
+        if n % i == 0:
+            return False
+    return True
+
+def prime_difference(N, A):
+    primes = []
+    for i in range(N):
+        if is_prime(A[i]):
+            primes.append(A[i])
+
+    if len(primes) == 0:
+        return 1
+
+    smallest_prime = min(primes)
+    largest_prime = max(primes)
+    return largest_prime - smallest_prime
+
+A = [1, 2, 3, 4, 5, 41]       # Array
+N = 6      # Array Size
+print(prime_difference(N, A))

Task/Reetika Acharya/q7.py

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+# -*- coding: utf-8 -*-
+"""Q7.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1FarMJ1RQ9zDo1A69GDdsPK4AgsqBNCF8
+
+Problem 7: For each product, we need to find the minimum prime factor of its MRP.
+"""
+
+def smallest_prime_factor(n):
+    if n <= 1:
+        return n
+    for i in range(2, n + 1):
+        if n % i == 0:
+            return i
+    return n
+
+def amount_roy_pays(N, prices):
+    results = []
+    for price in prices:
+        min_prime = smallest_prime_factor(price)
+        roy_pays = price - min_prime
+        results.append(roy_pays)
+    return results
+
+
+N = 2    # Array Size
+prices = [5, 10]      # Value of prices!
+print(amount_roy_pays(N, prices))

Task/Reetika Acharya/q8.py

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+# -*- coding: utf-8 -*-
+"""Q8.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1q9OL93fUDpJFoQdG-z3lbX32SlDPe7Iq
+
+Problem 8: We need to count the frequency of each element in a list and return it as a dictionary.
+"""
+
+def frequency_count(input_list):
+    frequency = {}
+    for element in input_list:
+        if element in frequency:
+            frequency[element] += 1
+        else:
+            frequency[element] = 1
+    return frequency
+
+
+input_list = [1, 2, 2, 3, 3, 3]
+print(frequency_count(input_list))