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dict_comprehensions.py

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+# Python Dictionary Comprehensions
+# (c) Joe James 2023
+
+# 1. math function to compute values using list
+dict1 = {x: 2*x for x in [0, 2, 4, 6]}
+print ('1. ', dict1)
+
+# 2. math function to compute values using range
+dict2 = {x: x**2 for x in range(0, 7, 2)}
+print ('2. ', dict2)
+
+# 3. from chars in a string
+dict3 = {x: ord(x) for x in 'Kumar'}
+print ('3. ', dict3)
+
+# 4. given lists of keys & values
+x = ['Aditii', 'Brandon', 'Clumley', 'Magomed', 'Rishi']
+y = [1, 2, 3, 13, 18] 
+dict4 = {i: j for (i,j) in zip(x,y)} 
+print ('4. ', dict4)
+
+# 5. from chars in a string
+x = "python"
+dict5 = {i: 3*i.upper() for i in x}
+print('5. ', dict5)
+
+# 6. list comprehension for the value
+x = [2, 4, 6, 8]
+y = [5, 10, 15, 20]
+dict6 = {i: [i + 2*j for j in y] for i in x}
+print('6. ', dict6)
+
+#7. using items
+x = {'A':10, 'B':20, 'C':30}
+dict7 = {i: j*2 for (i,j) in x.items()}
+print('7. ', dict7)
+
+# 8. conditional comprehension
+dict8 = {i: i**3 for i in range(10) if i%2 == 0}
+print('8. ', dict8)
+
+# 9. if-else conditional comprehension
+x = {'A':10, 'B':20, 'C':30}
+dict9 = {i: (j if j < 15 else j+100) for (i,j) in x.items()}
+print('9. ', dict9)
+
+# 10. transformation from an existing dict
+x = {'A':10, 'B':20, 'C':30}
+dict10 = {i: x[i]+1 for i in x}
+print('10. ', dict10)
+
+
+
+