TiffanyTiffany 6,39611 gold badge1515 silver badges44 bronze badges six I guess this can be a compilation of a number of the other stuff, but it surely places it all alongside one another, and as the web site says, "We are just listed here to help you" (or some thing like that).

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Shawn ChinShawn Chin 87.2k2020 gold badges168168 silver badges193193 bronze badges five 28 The * would be the tough issue that makes chain considerably less clear-cut than the list comprehension. You have to recognize that chain only joins collectively the iterables handed as parameters, plus the * will cause the highest-amount list to generally be expanded into parameters, so chain joins alongside one another all People iterables, but won't descend even more. I feel this helps make the comprehension extra readable than the usage of chain In cases like this.

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D StanleyD Stanley 153k1212 gold badges189189 silver badges257257 bronze badges 1 How to put in writing various WHERE circumstances for identical list?

There is a ton of Added benefits, but one is you could Solid your list additional elegantly if you can't make certain what it consists of:

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Then, we may have to apply the defaults for start off and prevent—the default then for begin is calculated as being the higher certain when step is adverse:

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Certainly, in the event you go through the dialogue about The difficulty connected during the acknowledged answer, numpy's tolink is the reason why pandas used tolink and why they didn't deprecate it after introducing to_list...

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Employing a purpose aids readability, but these kinds of a solution is tricky to increase or adapt inside of a workflow where the mapping is surely an enter. A dictionary can ease these issues: