- 其实在创建一个notebook的时候上面的说明的代码已经讲到了，需要创建一个new version才能永久保存Output结果，否则就是临时保存，关掉页面就会删除。
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
# Input data files are available in the read-only "../input/" directory
# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
for filename in filenames:
print(os.path.join(dirname, filename))
# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using "Save & Run All"
# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session
- 点击右上角的save version 以后就会发现多出了一个进程，这个进程不会随着你长时间不在电脑跟前就断掉，为了节省GPU的使用时间，可以把原来的进程关掉，只保留new version就行，运行完以后在code里就可以随时查看永久保存的Output了。
- 这个时候就可以直接关闭浏览器了，程序会一直在Kaggle的后台运行，类似linux里的screen，想再次查看点击code或者页面左下角的View Active Events都可以看到
- 如果还是没Output那可能是保存的文件路径的问题，一定要保存在/kaggle/working/...的文件夹下面。
