国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
| import pymssql | |
| import pandas as pd | |
| ## instance a python db connection object- same form as psycopg2/python-mysql drivers also | |
| conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642) # You can lookup the port number inside SQL server. | |
| ## Hey Look, college data | |
| stmt = "SELECT * FROM AlumniMirror..someTable" | |
| # Excute Query here | |
| df = pd.read_sql(stmt,conn) |
| from datetime import datetime, timedelta | |
| matlab_datenum = 731965.04835648148 | |
| python_datetime = datetime.fromordinal(int(matlab_datenum)) + timedelta(days=matlab_datenum%1) - timedelta(days = 366) |