list comprehension - Python for climatology, oceanograpy and atmospheric science

list comprehension

MetPy Mondays `#34 - List Comprehensions : Unidata Developer's Blog

code:python

code:python

dada=1,2,3],4,5,6,[7,8,9

#for b in data:

# for a in b:

# flattened.append(a)

Besides the syntactic benefit of list comprehensions, they are often as fast or faster than equivalent use of map operator.

They provide a syntactically more compact and more efficient way of writing the above for loop:

code:python

instead of

code:python

newlist = []

for word in oldlist:

newlist.append(word.upper())

filter

code:python

print(even)

Totorials

(Tutorial) Python List Comprehension - DataCamp

Tips

code:python

import dask

dtemp=[dask.delayed(f)n for n in range(M)]

dask.compute(*dtemp)

Do not overuse it