Programming, Data Structures And Algorithms Using Python - Week 3 Programming Assignment | NPTEL | Jan 2023

Programming, Data Structures And Algorithms Using Python Week 3 Programming Assignment | NPTEL | Answer with Explanation

Programming, Data Structures And Algorithms Using Python - Week 3 Programming Assignment | NPTEL | Jan 2023
"Discover the Excitement of Computing with Python | Week 3 Programming Assignment - Get ready to enhance your programming skills and deepen your understanding of the Python language with this week 3 Assignment on 'Programming, Data Structures And Algorithms Using Python '. Test your knowledge and boost your confidence as a Python programmer today!"
Week 3: Basic algorithmic analysis: input size, asymptotic complexity, O() notation, Arrays vs lists, Merge sort, Quicksort, Stable sorting

Define a Python function remdup(l) that takes a nonempty list of integers l and removes all duplicates in l, keeping only the last occurrence of each number. For instance:
>>> remdup([3,1,3,5])
[1, 3, 5]

Answer
def remdup(l):
    seen = set()
    result = []
    for x in reversed(l):
        if x not in seen:
            result.append(x)
            seen.add(x)
    result.reverse()
    return result

Write a Python function splitsum(l) that takes a nonempty list of integers and returns a list [pos,neg], where pos is the sum of squares all the positive numbers in l and neg is the sum of cubes of all the negative numbers in l.
Here are some examples to show how your function should work.

>>> splitsum([1,3,-5])
[10, -125]

Answer
def splitsum(l):
    pos = 0
    neg = 0
    for i in l:
        if i > 0:
            pos += i**2
        else:
            neg += i**3
    return [pos, neg]

Write a Python function matrixflip(m,d) that takes as input a two dimensional matrix m and a direction d, where d is either 'h' or 'v'. If d == 'h', the function should return the matrix flipped horizontally. If d == 'v', the function should retun the matrix flipped vertically. For any other value of d, the function should return m unchanged. In all cases, the argument m should remain undisturbed by the function.
Here are some examples to show how your function should work. You may assume that the input to the function is always a non-empty matrix.

>>> myl = [[1,2],[3,4]]

>>> myl
[[1, 2], [3, 4]]

>>> matrixflip(myl,'h')
[[2, 1], [4, 3]]

Answer
def matrixflip(m, d):
    if d == 'h':
        return [row[::-1] for row in m]
    elif d == 'v':
        return m[::-1]
    else:
        return m

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