1.jupyter&conda combine space enviorment
target:
when we new a notebook we can use the conda enviorment we have been create;
main part just follow net can work well. Only problem is the location of pip/pip3 may cause problem.
My pip->python3.7 but pip3->python3.6 so I bound ipykernel to pip3,but use pip,the location show has been installed but we cannot use.
if cuda available means the enviorment can be used
It's really nice and convinient! I love jupyter's powerful function,save time and effective work effort:)
2. LC1
TARGET:find the number only appear once in array.other appear twice,so use Exclusive or operater each item
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