254 shades of grey Description: Why would we want to stop to only 50 shades of grey? Let's see to how many we can go. Write a function that takes a number n as a parameter and return an array containing n shades of grey in hexadecimal code (#aaaaaa f…

转自该网站:http://research.stowers-institute.org/efg/R/Color/Chart/ 科学可视化中常用的一些颜色表:http://geog.uoregon.edu/datagraphics/color_scales.htm Step-by-Step Procedure (to learn about "colors") 1.  The function call, colors(), or with the British spelling, c…

Series的简单运算 import numpy as np import pandas as pd s1=pd.Series([1,2,3],index=['A','B','C']) print(s1) 结果: A 1 B 2 C 3 dtype: int64 s2=pd.Series([4,5,6,7],index=['B','C','D','E']) print(s2) 结果: B 4 C 5 D 6 E 7 dtype: int64 print(s1+s2)#对应的index相加,NaN…

OPTIONS 返回服务器针对特定资源所支持的HTTP请求方法.也可以利用向Web服务器发送'*'的请求来测试服务器的功能性. HEAD 向服务器索要与GET请求相一致的响应,只不过响应体将不会被返回.这一方法可以在不必传输整个响应内容的情况下,就可以获取包含在响应消息头中的元信息. GET 向特定的资源发出请求.注意:GET方法不应当被用于产生“副作用”的操作中. POST 向指定资源提交数据进行处理请求(例如提交表单或者上传文件).数据被包含在请求体中.POST请求可能会导致新的资源的建立和…

A Statistical View of Deep Learning (III): Memory and Kernels Memory, the ways in which we remember and recall past experiences and data to reason about future events, is a term used frequently in current literature. All models in machine learning co…

private void panel1_Paint(object sender, PaintEventArgs e) { Rectangle r1 = new Rectangle(0, 0, 100, 40); Rectangle r2 = new Rectangle(14, 194, 100, 40); e.Graphics.DrawImage(pic, r1, r2, GraphicsUnit.Pixel); } #region 图片旋转函数 /// <summary> /// 以逆时针为…

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Creating an generated Earth AVI with C++        EarthGenerator.cpp /*    EarthGenerator.cpp An example on how to use AviMemDC.cpp Copyright (c) 1998-2003 Torben AE. Mogensen   Copyright (c) 2004,2005 René Nyffenegger All algorithms and source code pe…

The human visual system is one of the wonders of the world. Consider the following sequence of handwritten digits: Most people effortlessly recognize those digits as 504192. That ease is deceptive. In each hemisphere of our brain, humans have a prima…

##Advice for Applying Machine Learning Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the le…