check

que1.py

@@ -0,0 +1,13 @@
+def frequency(s):
+    s=s.replace(" ","")
+    freq = {}
+    for char in s:
+        if char in freq:
+            freq[char] += 1
+        else:
+            freq[char]=1
+    sorted_chars = sorted(freq.keys())
+    for char in sorted_chars:
+        print(f"{char}-> {freq[char]}")
+str=input("String is:")
+frequency(str)

que10.py

@@ -0,0 +1,21 @@
+import pandas as pd
+data = pd.read_csv("Iris.csv")
+data.head()
+
+data.sample(10)
+
+data.columns
+
+#The first one is the number of rows and
+# the other one is the number of columns.
+data.shape
+
+print(data)
+
+sum_data = data["SepalLengthCm"].sum()
+print("Sum:",sum_data)
+
+min_data=data["SepalLengthCm"].min()
+max_data=data["SepalLengthCm"].max()
+
+print("Minimum:",min_data, "\nMaximum:", max_data)

que2.py

@@ -0,0 +1,13 @@
+digits = [4,3,2,1]
+digits_1st = []
+for i in digits:
+    digits_1st.append(str(i))
+a = ["r","o","b","o"]
+digits_1st = "".join(digits_1st)
+digits_1st = int(digits_1st)
+print(digits_1st+1)
+digits = list(str(digits_1st+1))
+result = []
+for digit in digits:
+    result.append(int(digit))
+print(result)

que3.py

@@ -0,0 +1,24 @@
+def is_prime(n):
+    if n <= 3:
+        return n > 1
+    if n % 2 == 0 or n % 3 == 0:
+        return False
+    i = 5
+    while i * i <= n:
+        if n % i == 0 or n % (i + 2) == 0:
+            return False
+        i += 6
+    return True
+
+def difference(A):
+    primes = [num for num in A if is_prime(num)]
+
+    if not primes:
+        return "No prime numbers present"
+
+    return max(primes) - min(primes)
+
+A = [1, 2, 3, 4, 5]
+print(difference(A))
+
+

que4.py

@@ -0,0 +1,12 @@
+def count_frequency(arr):
+    frequency_dict = {}
+    for element in arr:
+        if element in frequency_dict:
+            frequency_dict[element] += 1
+        else:
+            frequency_dict[element] = 1
+    return frequency_dict
+
+arr = [1, 2, 3, 4, 2, 3, 1, 2, 4, 5, "robotics"]
+frequency = count_frequency(arr)
+print(frequency)

que6.py

@@ -0,0 +1,35 @@
+
+mylist= []
+length =input('the number of elements u wanna enter')
+length = int(length)
+l=length
+l1 = length
+while length>0:
+    element =input('enetr the element')
+    mylist.append(element)
+    length = length-1
+print(mylist)
+k=''
+c=''
+my_list=[]
+my_list = mylist.copy()
+
+dict={}
+while l>0:
+    k=mylist[l-1]
+    c=my_list.count(k)
+    mylist.remove(k)
+    if k in mylist:
+        l=l-1
+        continue
+    print(k,c)
+    print('   ')
+    dict[k] = c
+    l=l-1
+
+print(dict)
+
+
+
+
+

que8.py

@@ -0,0 +1,22 @@
+rows=int(input("Enter the number of rows in the matrix: "))
+columns=int(input("Enter the number of columns in the matrix: "))
+matrix=[]
+for i in range(rows):
+    row=[]
+    for j in range(columns):
+
+        element=int(input("Enter the element: "))
+        row.append(element)
+    matrix.append(row)
+print("\nOriginal Matrix: \n")
+for i in range(rows):
+    for j in range(columns):
+         print(matrix[i][j], end=" ")
+    print()
+
+Tmatrix=[[matrix[j][i] for j in range(rows)] for i in range(columns)]
+print("\nTransposed Matrix:")
+for i in range(columns):
+        for j in range(rows):
+            print(Tmatrix[i][j], end=" ")
+        print()

que9.py

@@ -0,0 +1,21 @@
+import pandas as pd
+data = pd.read_csv("Iris.csv")
+data.head()
+
+data.sample(10)
+
+data.columns
+
+#The first one is the number of rows and
+# the other one is the number of columns.
+data.shape
+
+print(data)
+
+sum_data = data["SepalLengthCm"].sum()
+print("Sum:",sum_data)
+
+min_data=data["SepalLengthCm"].min()
+max_data=data["SepalLengthCm"].max()
+
+print("Minimum:",min_data, "\nMaximum:", max_data)