mynameisfiber / high_performance_python_2e Goto Github PK

>>> %memit [i*i for i in range(100_000)]
peak memory: 70.50 MiB, increment: 3.02 MiB

>>> %%memit l = []
... for i in range(100_000):
...     l.append(i * 2)
...
peak memory: 67.47 MiB, increment: 8.17 MiB

[1]
%load_ext memory_profiler
%load_ext line_profiler
[2]
%memit [i*i for i in range(100_000)]
peak memory: 52.02 MiB, increment: 3.74 MiB
[3]
%%memit 
l = []
for i in range(100_000):
    l.append(i * 2)
peak memory: 52.66 MiB, increment: 2.95 MiB

Filename: list_append.py

Line #    Mem usage    Increment   Line Contents
================================================
     8     38.5 MiB     38.5 MiB   @profile
     9                             def append_to_list() -> List[int]:
    10                                 """Append to list example."""
    11     38.5 MiB      0.0 MiB       result = []
    12     42.4 MiB      0.0 MiB       for i in range(100_000):
    13     42.4 MiB      0.3 MiB           result.append(i * 2)
    14     42.4 MiB      0.0 MiB       return result


Filename: list_append.py

Line #    Mem usage    Increment   Line Contents
================================================
    17     39.4 MiB     39.4 MiB   @profile
    18                             def comp() -> List[int]:
    19                                 """Comprehend example."""
    20     42.2 MiB      0.2 MiB       return [i * i for i in range(100_000)]

[2]
%memit [i*i for i in range(100_000_000)]
peak memory: 3849.21 MiB, increment: 3801.23 MiB

[3]
%%memit 
l = []
for i in range(100_000_000):
    l.append(i * 2)
peak memory: 3912.98 MiB, increment: 3863.53 MiB