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merge
Python, List
Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions.

.πŸ‘‰πŸ» Use max() combined with a list comprehension to get the length of the longest list in the arguments.

.πŸ‘‰πŸ» Use range() in combination with the max_length variable to loop as many times as there are elements in the longest list.

.πŸ‘‰πŸ»If a list is shorter than max_length, use fill_value for the remaining items (defaults to None).

.πŸ‘‰πŸ»zip() and itertools.zip_longest() provide similar functionality to this snippet.


Code:
def merge(*args, fill_value = None):
max_length = max([len(lst) for lst in args])
result = []
for i in range(max_length):
result.append([
args[k][i] if i < len(args[k]) else fill_value for k in range(len(args))
])
return result

Example:

merge(['a', 'b'], [1, 2], [True, False])

Output: [['a', 1, True], ['b', 2, False]]

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merge
Python, List

Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions.

.πŸ‘‰πŸ» Use max() combined with a list comprehension to get the length of the longest list in the arguments.

.πŸ‘‰πŸ» Use range() in combination with the max_length variable to loop as many times as there are elements in the longest list.

.πŸ‘‰πŸ»If a list is shorter than max_length, use fill_value for the remaining items (defaults to None).

.πŸ‘‰πŸ»zip() and itertools.zip_longest() provide similar functionality to this snippet.


Code:
def merge(*args, fill_value = None):
max_length = max([len(lst) for lst in args])
result = []
for i in range(max_length):
result.append([
args[k][i] if i < len(args[k]) else fill_value for k in range(len(args))
])
return result

Example:

merge(['a', 'b'], [1, 2], [True, False])

Output: [['a', 1, True], ['b', 2, False]]

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@Python_Codes

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Spiking bond yields driving sharp losses in tech stocks

A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year. A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.

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