Type :colorscheme then Space followed by TAB. or as Peter said, :colorscheme then Space followed by CTRLd The short version of the command is :colo so you can use it in the two previous commands, instead of using the “long form”. If you want to find and preview more themes, there are various websites like … Read more
List is an ordered sequence of elements whereas Set is a distinct list of elements which is unordered (thank you, Quinn Taylor). List<E>: An ordered collection (also known as a sequence). The user of this interface has precise control over where in the list each element is inserted. The user can access elements by their … Read more
Not the most efficient one, but by far the most obvious way to do it is: >>> a = [1, 2, 3, 4, 5] >>> b = [9, 8, 7, 6, 5] >>> set(a) & set(b) {5} if order is significant you can do it with list comprehensions like this: >>> [i for i, j … Read more
If you check the API for List you’ll notice it says: Interface List<E> Being an interface means it cannot be instantiated (no new List() is possible). If you check that link, you’ll find some classes that implement List: All Known Implementing Classes: AbstractList, AbstractSequentialList, ArrayList, AttributeList, CopyOnWriteArrayList, LinkedList, RoleList, RoleUnresolvedList, Stack, Vector Some of those … Read more
Pandas DataFrame columns are Pandas Series when you pull them out, which you can then call x.tolist() on to turn them into a Python list. Alternatively you cast it with list(x). import pandas as pd data_dict = {‘one’: pd.Series([1, 2, 3], index=[‘a’, ‘b’, ‘c’]), ‘two’: pd.Series([1, 2, 3, 4], index=[‘a’, ‘b’, ‘c’, ‘d’])} df = … Read more
A lot of people are saying that once you get to the size where speed is actually a concern that HashSet<T> will always beat List<T>, but that depends on what you are doing. Let’s say you have a List<T> that will only ever have on average 5 items in it. Over a large number of … Read more
Just remove () at the end. List<string> optionList = new List<string> { “AdditionalCardPersonAdressType”, /* rest of elements */ };
Using generator functions can make your example easier to read and improve performance. Python 2 Using the Iterable ABC added in 2.6: from collections import Iterable def flatten(xs): for x in xs: if isinstance(x, Iterable) and not isinstance(x, basestring): for item in flatten(x): yield item else: yield x Python 3 In Python 3, basestring is … Read more
Try using the key keyword with sorted(). sorted([(‘abc’, 121),(‘abc’, 231),(‘abc’, 148), (‘abc’,221)], key=lambda x: x[1]) key should be a function that identifies how to retrieve the comparable element from your data structure. In your case, it is the second element of the tuple, so we access [1]. For optimization, see jamylak’s response using itemgetter(1), which … Read more
Tuples are fixed size in nature whereas lists are dynamic. In other words, a tuple is immutable whereas a list is mutable. You can’t add elements to a tuple. Tuples have no append or extend method. You can’t remove elements from a tuple. Tuples have no remove or pop method. You can find elements in … Read more