| <iframe src="https://www.kaggle.com/embed/soylevbeytullah/password-data?kernelSessionId=174298183" height="800" style="margin: 0 auto; width: 100%; max-width: 950px;" frameborder="0" scrolling="auto" title="Password Data"></iframe> | |
| git clone https://huggingface.co/spaces/maxxxi100/PwData | |
| cd PwData# 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) | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| import sqlite3 | |
| # 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 |