Last article, we learned how to draw a uncolored map with python. Now, we are going to fill our country with beautiful colors.

Some of the basic rules of CSS and also a learning and reviewing Records of CSS.

Some of the most often used tags of HTML. And it’s also a record of learning process.

Before you start to draw maps with python, you first need to install basemap and pyshp.

Basemap is a plug-in of matplotlib. Matplotlib is a drawing library that helps to draw data in multiple ways using python. And Basemap is used to draw maps. The followings are steps to install basemap.

Just because I want to solve a problem while setting my gitee(It needs to input user name and password every time I deploy my Blog), a friend let me study git first so that I can understand what the bug is telling about!!! (not for solving the problem, I learn it just for understanding the alert ㅍ_ㅍ…) Life is so hard…

I’ll just record some commonly used commands.

While using windows, I have already had a blog and using hexo system. And my blog is on my mechanical hard disk. I want it to be accessible while using Linux.

There are two steps to make it.

There are two ways to represents a directory, Absolute path and Relative path.

I’ve met a new problem recently: I switched into Linux but my Blog folder is under my mechanical hard disk. I want my Blog folder available to be achieved by command not manually. So to make this come true, I learned a word mount. By using mount, you can use my blog folder by command. There are three steps:

1. create a new folder
2. mount the disk
3. make it mount automatically as long as booting Linux

Recently, I’ve met a problem like this when I deploying my blog. hexo d gets error.

Here are some sorting ways and I use many data to test and compare. Just to illustrate the property of each algorithm.

第六章 数理统计的基本概念

一、随机样本

（1）总体与个体

​ a. 一批灯泡的全体组成一个总体，其中每一个灯泡都是一个个体。

​ b. 一个随机变量X或其相应的分布函数$F(x)$成为一个总体。

第五章 大数定律和中心极限定理

一、*大数定律

（1）切比雪夫不等式

​ $X$有数学期望$E(X)=\mu,D(X=\sigma^2)$, 则对任意正整数$\varepsilon$

​ $P{\left| x - \mu \right| \geq \varepsilon } \leq \frac{\sigma ^2}{\varepsilon ^ 2}$

	$P\{\left| x - \mu \right| < \varepsilon \} \geq 1-\frac{\sigma ^2}{\varepsilon ^ 2}$

第四章 随机变量的数字特征

一、数学期望

This is an overview of the knowledges in chapter 1.