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  • Meaning of list[-1] in Python - Stack Overflow
    I have a piece of code here that is supposed to return the least common element in a list of elements, ordered by commonality: def getSingle(arr): from collections import Counter c = Counte
  • python - if else in a list comprehension - Stack Overflow
    Since a list comprehension creates a list, it shouldn't be used if creating a list is not the goal; it shouldn't be used simply to write a one-line for-loop; so refrain from writing [print(x) for x in range(5)] for example
  • What is the difference between list and list [:] in python?
    When reading, list is a reference to the original list, and list[:] shallow-copies the list When assigning, list (re)binds the name and list[:] slice-assigns, replacing what was previously in the list Also, don't use list as a name since it shadows the built-in
  • python - Removing duplicates in lists - Stack Overflow
    How can I check if a list has any duplicates and return a new list without duplicates?
  • python - What does list [x::y] do? - Stack Overflow
    It slices x[startAt:endBefore:skip] if you use skip = 2, every other element the list beginning at startAt and ending at endBefore will be selected [Remember: indices live BETWEEN list elements] To see this, enter x = range(100) at the Python prompt Then try these things x[::2] x[::3] x[10:40:6] and see what happens
  • SharePoint Available Icons - Stack Overflow
    In the JSON code to format a SharePoint header you can specify an icon to be used Does anyone know where the list of usable icons can be found? The code below allows for the select of an icon and defaults to group: "iconName": "Group" What other icons are available and is there a place that lists the available icon names?
  • join list of lists in python - Stack Overflow
    Is the a short syntax for joining a list of lists into a single list ( or iterator) in python? For example I have a list as follows and I want to iterate over a,b and c
  • Sum a list of numbers in Python - Stack Overflow
    Depending on how big your list is, several orders of magnitude faster Also, it's a lot less code, and at least to me, it's easier to read I'm trying to make a habit out of using numpy for all groups of numbers, and it is a huge improvement to all the loops and loops-within-loops I would otherwise have had to write




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