Time & Space Complexity.

Time & Space Complexity.

I Have to #PythonCode For Find Minimum Time & #SpaceCpmplextiy ?????

Both code snippets are designed to find the minimum value in an array, but they use slightly different approaches.

Let's Find their time and space complexities:----


~~ First Snipped Code

arr = [2,5,1,0,45,3] // define Array with few elements

min_val = arr[0] // minimum by default set with index 0 element of array.

for i in range(1,len(arr),1):? ? // iteration of array element

if arr[i] < min_val:? ? ? ? // check if array iteration(I) value is less then min_val then update min_val by array (I) iteration's value.

min_val = arr[i]

print(min_val)

~~ Second snipped code

Same Step Follow

arr = [200,55,100,34,45,31]

min_val = arr[0]

for i in arr:? ?

if i < min_val:? ? ? ?

min_val = i

print(min_val)


Then What is different above between them.

DON'T WORRY Let's Discussed Now.................................


If You want to More Such Contents then follow me Roshan Jha ???? commnet your query.....

or even if you have any query or questions

Time Complexity:

  • Both snippets have a time complexity of O(n), where n is the length of the array.
  • They both iterate through the array once, performing a constant-time comparison for each element.

Space Complexity:

  • Both snippets have a space complexity of O(1).
  • They only use a single additional variable (min_val) regardless of the input size.

The main differences:

  1. Iteration method:The first snippet uses indexing with range().The second snippet uses direct iteration over array elements.
  2. Readability:The second snippet is generally considered more Pythonic and slightly more readable.
  3. Performance: In practice, the second snippet might be slightly faster in Python due to avoiding index lookups, but this difference is usually ( negligible ) .


#DSA #InterViewQuestions #ProblemSolving #MachineLearning #Software #DataScience #TechJobs

Archy Gupta

要查看或添加评论,请登录

社区洞察

其他会员也浏览了