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Python Map - Exercises, Practice, Solution

Python Map [17 exercises with solution]

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1. Write a Python program to triple all numbers of a given list of integers. Use Python map. Go to the editor
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2. Write a Python program to add three given lists using Python map and lambda. Go to the editor
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3. Write a Python program to listify the list of given strings individually using Python map.
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4. Write a Python program to create a list containing the power of said number in bases raised to the corresponding number in the index using Python map. Go to the editor
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5. Write a Python program to square the elements of a list using map() function. Go to the editor
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6. Write a Python program to convert all the characters in uppercase and lowercase and eliminate duplicate letters from a given sequence. Use map() function. Go to the editor
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7. Write a Python program to add two given lists and find the difference between lists. Use map() function. Go to the editor
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8. Write a Python program to convert a given list of integers and a tuple of integers in a list of strings. Go to the editor
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9. Write a Python program to create a new list taking specific elements from a tuple and convert a string value to integer. Go to the editor
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10. Write a Python program to compute the square of first N Fibonacci numbers, using map function and generate a list of the numbers. Go to the editor
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11. Write a Python program to compute the sum of elements of a given array of integers, use map() function. Go to the editor
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12. Write a Python program to find the ration of positive numbers, negative numbers and zeroes in an array of integers. Go to the editor
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13. Write a Python program to count the same pair in two given lists. use map() function. Go to the editor
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14. Write a Python program to interleave two given list into another list randomly using map() function. Go to the editor
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15. Write a Python program to split a given dictionary of lists into list of dictionaries using map function. Go to the editor
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16. Write a Python program to convert a given list of strings into list of lists using map function. Go to the editor
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17. Write a Python program to convert a given list of tuples to a list of strings using map function. Go to the editor
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Python: Tips of the Day

Understanding slice notation:

It's pretty simple really:

a[start:stop]  # items start through stop-1
a[start:]      # items start through the rest of the array
a[:stop]       # items from the beginning through stop-1
a[:]           # a copy of the whole array

There is also the step value, which can be used with any of the above:

a[start:stop:step] # start through not past stop, by step

The key point to remember is that the :stop value represents the first value that is not in the selected slice. So, the difference between stop and start is the number of elements selected (if step is 1, the default).

The other feature is that start or stop may be a negative number, which means it counts from the end of the array instead of the beginning. So:

a[-1]    # last item in the array
a[-2:]   # last two items in the array
a[:-2]   # everything except the last two items

Similarly, step may be a negative number:

a[::-1]    # all items in the array, reversed
a[1::-1]   # the first two items, reversed
a[:-3:-1]  # the last two items, reversed
a[-3::-1]  # everything except the last two items, reversed

Python is kind to the programmer if there are fewer items than you ask for. For example, if you ask for a[:-2] and a only contains one element, you get an empty list instead of an error. Sometimes you would prefer the error, so you have to be aware that this may happen.

Relation to slice() object

The slicing operator [] is actually being used in the above code with a slice() object using the : notation (which is only valid within []), i.e.:

a[start:stop:step]

is equivalent to:

a[slice(start, stop, step)]

Slice objects also behave slightly differently depending on the number of arguments, similarly to range(), i.e. both slice(stop) and slice(start, stop[, step]) are supported. To skip specifying a given argument, one might use None, so that e.g. a[start:] is equivalent to a[slice(start, None)] or a[::-1] is equivalent to a[slice(None, None, -1)].

While the : -based notation is very helpful for simple slicing, the explicit use of slice() objects simplifies the programmatic generation of slicing.

Ref: https://bit.ly/2MHaTp7