-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathabout.html
More file actions
239 lines (198 loc) · 14.7 KB
/
Copy pathabout.html
File metadata and controls
239 lines (198 loc) · 14.7 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
---
layout: page
title: "About"
description: "Hey, this is Borg."
header-img: "img/about-bg.jpg"
---
<!-- Language Selector -->
<select onchange= "onLanChange(this.options[this.options.selectedIndex].value)">
<option value="0" selected> 中文 Chinese </option>
<option value="1"> 英文 English </option>
</select>
<!-- Chinese Version -->
<div class="zh post-container">
<!--copied from markdown -->
<blockquote><p>Live as if you were to die tomorrow. Learn as if you were to live forever.</p></blockquote>
<h5>自我介绍</h5>
<p>擅长Python，能用scrapy框架写爬虫，并能结合R语言进行数据可视化。熟悉Django框架。</p>
<h5>教育背景</h5>
<p>2013-2017 西安外国语大学 翻译专业本科</p>
<h5>技能</h5>
<ul>
<li>Python</li>
<li>Scrapy</li>
<li>Mongodb</li>
<li>Django</li>
<li>Ionic</li>
<li>Git</li>
<li>R</li>
<li>英语(专业四级)</li>
</ul>
<h5>实践项目</h5>
<ul>
<li>招聘信息爬虫+数据可视化
<ul>
<li><p>scrapy框架写的爬虫爬取招聘信息网站再用地图api获得经纬度，最后用R语言数据可视化，在地图上表示出每座城市的招聘数量和具体每条招聘信息的地理位置。</p></li>
<li><a href="https://github.com/BigBorg/Scrapy-playground">项目主页</a></li>
</ul>
</li>
<li>像素涂鸦手机应用
<ul>
<li><p>像素风格绘图应用，可供上传分享再创作。Flask + Mongodb做后端，Ionic做前端应用。</p></li>
<li><a href="https://bigborg.github.io/2017/03/29/ionic-pixelDrawing/">项目主页</a></li>
</ul>
</li>
<li>小米手环数据分析
<ul>
<li><a href="/_my_html/MiBand_report/MiBand_report.html">数据分析报告</a></li>
<li><a href="https://bigborg.shinyapps.io/MiBand/">数据分析web应用(shiny服务器国内网络可能较慢)</li>
<li><a href="/_my_html/MiBand_slidify/MiBand_slidify.html">数据分析slidify展示</a></li>
</ul>
</li>
<li><a href="http://htmlpreview.github.io/?https://github.com/BigBorg/Assignments-for-Datascience/blob/master/Practical%20Machine%20Learning%20Project/project.html">Human Activity Recognition</a></li>
</ul>
<h5>公开课</h5>
<ul><li><a href="https://www.coursera.org/account/accomplishments/records/T8GBEBSFXCCL"\>Introduction to Big Data (2015)</a><p>美国加州大学圣地亚哥分校</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/RJH742BBNYAA"\>Statistical Inference</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/MSEM55QE23YU"\>C程序设计进阶</a><p>北京大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/R8ZYBMTVAZWJ"\> 计算导论与C语言基础</a><p>北京大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/9ZEHZEJUGRQ6"\>Using Python to Access Web Data</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/UUZRGJKF8MCQ"\>Developing Data Products</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/24Q4RA47TXKZ"\>Machine Learning: Regression</a><p>华盛顿大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/ZU4QSKZHMLKX"\>Machine Learning: Classification</a><p>华盛顿大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/74DPXK9YTNVL"\>Machine Learning Foundations: A Case Study Approach</a><p>华盛顿大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/WCTBGDTPAUES"\>Using Databases with Python</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/4ZQDMRUYGV22"\>HTML, CSS and JavaScript</a><p>香港科技大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7W3K6YFR7Z2L"\>C++程序设计</a><p>北京大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7PM5QWQJHCW7"\>Practical Machine Learning</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/58PRZRXE5TBT"\>Python Data Structures</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/CUL223RB5B56"\>Regression Models</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/NCHQ332MNC9L"\>Programming for Everybody (Getting Started with Python)</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/VhyevbnBKZeUNMEM"\>Creative, Serious and Playful Science of Android Apps</a><p>伊利诺伊大学香槟分校</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/NLbZ7bK2Cv2fJAz9"\>Programming Mobile Applications for Android Handheld Systems: Part 1</a><p>马里兰大学帕克分校</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/rzF23yArQwzCfkmU"\>Introduction to Programming with MATLAB</a><p>范德堡大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7DD9QC2qn6UguEvD"\>The Data Scientist’s Toolbox</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/LfWqr6mMd9CwL4Ee"\>R Programming</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7ZxLYEQKtQT4ApG8"\>Getting and Cleaning Data</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/kTSFfmqYHJqsycG8"\>Exploratory Data Analysis</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/QrzNZf8WugPZCgYB"\>Reproducible Research</a><p>约翰霍普金斯大学</p></li><ul>
<h5>联系方式</h5>
<ul class="list-unstyled">
<li>手机: 18350722053, 18691847995 (陌生号码请先短信联系) </li>
<li>邮件: lbgandthesun@126.com, 770188954@qq.com</li>
<li>微信: lbgandthesun</li>
</ul>
</div>
<!-- English Version -->
<div class="en post-container">
<blockquote><p>Live as if you were to die tomorrow. Learn as if you were to live forever.</p></blockquote>
<h5>Introduction</h5>
<p>Self-taught python programmer, good at Mongodb, scrapy framework and Django framework. Basic knowledge of front-end skills.</p>
<h5>Education</h5>
<p>2013-2017 Bachelor of Translation, Xi'an International Studies University</p>
<h5>Skills</h5>
<ul>
<li>Python</li>
<li>Scrapy</li>
<li>Mongodb</li>
<li>Django</li>
<li>Ionic</li>
<li>R</li>
<li>git</li>
<li>TEM-4</li>
</ul>
<h5>Projects</h5>
<ul>
<li>Ionic App: Pixel Drawing
<ul>
<li><p>A pixel style drawing app that enables user to draw and share. Also, users can edit drawing uploaded by others. The backend is powered by flask and mongodb.</p></li>
<li><a href="https://bigborg.github.io/2017/03/29/ionic-pixelDrawing/">Project page</a></li>
</ul>
</li>
<li>Scrapy spider and R visualization
<ul>
<li><p>Geodata collected by spider using scrapy framework, visualization using R.</p></li>
<li><a href="https://github.com/BigBorg/Scrapy-playground">Project page</a></li>
</ul>
</li>
<li>MiBand Data Visualization
<ul>
<li><a href="/_my_html/MiBand_report/MiBand_report.html">R report</a></li>
<li><a href="https://bigborg.shinyapps.io/MiBand/">shiny web(Network access to shiny server might not work well for some regions.)</li>
<li><a href="/_my_html/MiBand_slidify/MiBand_slidify.html">slidify presentation</a></li>
</ul>
</li>
<li><a href="http://htmlpreview.github.io/?https://github.com/BigBorg/Assignments-for-Datascience/blob/master/Practical%20Machine%20Learning%20Project/project.html">Human Activity Recognition</a></li>
</ul>
<h5>Online Courses Taken</h5>
<ul><li><a href="https://www.coursera.org/account/accomplishments/records/T8GBEBSFXCCL"\>Introduction to Big Data (2015)</a><p>美国加州大学圣地亚哥分校</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/RJH742BBNYAA"\>Statistical Inference</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/MSEM55QE23YU"\>C程序设计进阶</a><p>北京大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/R8ZYBMTVAZWJ"\> 计算导论与C语言基础</a><p>北京大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/9ZEHZEJUGRQ6"\>Using Python to Access Web Data</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/UUZRGJKF8MCQ"\>Developing Data Products</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/24Q4RA47TXKZ"\>Machine Learning: Regression</a><p>华盛顿大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/ZU4QSKZHMLKX"\>Machine Learning: Classification</a><p>华盛顿大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/74DPXK9YTNVL"\>Machine Learning Foundations: A Case Study Approach</a><p>华盛顿大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/WCTBGDTPAUES"\>Using Databases with Python</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/4ZQDMRUYGV22"\>HTML, CSS and JavaScript</a><p>香港科技大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7W3K6YFR7Z2L"\>C++程序设计</a><p>北京大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7PM5QWQJHCW7"\>Practical Machine Learning</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/58PRZRXE5TBT"\>Python Data Structures</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/CUL223RB5B56"\>Regression Models</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/NCHQ332MNC9L"\>Programming for Everybody (Getting Started with Python)</a><p>密歇根大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/VhyevbnBKZeUNMEM"\>Creative, Serious and Playful Science of Android Apps</a><p>伊利诺伊大学香槟分校</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/NLbZ7bK2Cv2fJAz9"\>Programming Mobile Applications for Android Handheld Systems: Part 1</a><p>马里兰大学帕克分校</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/rzF23yArQwzCfkmU"\>Introduction to Programming with MATLAB</a><p>范德堡大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7DD9QC2qn6UguEvD"\>The Data Scientist’s Toolbox</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/LfWqr6mMd9CwL4Ee"\>R Programming</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/7ZxLYEQKtQT4ApG8"\>Getting and Cleaning Data</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/kTSFfmqYHJqsycG8"\>Exploratory Data Analysis</a><p>约翰霍普金斯大学</p></li><li><a href="https://www.coursera.org/account/accomplishments/records/QrzNZf8WugPZCgYB"\>Reproducible Research</a><p>约翰霍普金斯大学</p></li><ul>
<h5>Contact</h5>
<ul class="list-unstyled">
<li>Tel: 18350722053, 18691847995 (message first please) </li>
<li>Email: lbgandthesun@126.com, 770188954@qq.com</li>
<li>Wechat: lbgandthesun</li>
</ul>
</div>
<!-- Handle Language Change -->
<script type="text/javascript">
// get nodes
var $zh = document.querySelector(".zh");
var $en = document.querySelector(".en");
var $select = document.querySelector("select");
// bind hashchange event
window.addEventListener('hashchange', _render);
// handle render
function _render(){
var _hash = window.location.hash;
// en
if(_hash == "#en"){
$select.selectedIndex = 1;
$en.style.display = "block";
$zh.style.display = "none";
// zh by default
}else{
// not trigger onChange, otherwise cause a loop call.
$select.selectedIndex = 0;
$zh.style.display = "block";
$en.style.display = "none";
}
}
// handle select change
function onLanChange(index){
if(index == 0){
window.location.hash = "#zh"
}else{
window.location.hash = "#en"
}
}
// init
_render();
</script>
{% if site.duoshuo_username %}
<!-- 多说评论框 start -->
<div class="comment">
<div class="ds-thread"
{% if site.duoshuo_username == "huxblog" %}
data-thread-id="1187623191091085319"
{% else %}
data-thread-key="{{site.duoshuo_username}}/about"
{% endif %}
data-title="{{page.title}}"
data-url="{{site.url}}/about/"></div>
</div>
<!-- 多说评论框 end -->
<!-- 多说公共JS代码 start (一个网页只需插入一次) -->
<script type="text/javascript">
// dynamic User hacking by Hux
var _user = '{{site.duoshuo_username}}';
// duoshuo comment query.
var duoshuoQuery = {short_name: _user };
(function() {
var ds = document.createElement('script');
ds.type = 'text/javascript';ds.async = true;
ds.src = (document.location.protocol == 'https:' ? 'https:' : 'http:') + '//static.duoshuo.com/embed.js';
ds.charset = 'UTF-8';
(document.getElementsByTagName('head')[0]
|| document.getElementsByTagName('body')[0]).appendChild(ds);
})();
</script>
<!-- 多说公共JS代码 end -->
{% endif %}
{% if site.disqus_username %}
<!-- disqus 评论框 start -->
<div class="comment">
<div id="disqus_thread" class="disqus-thread">
</div>
</div>
<!-- disqus 评论框 end -->
<!-- disqus 公共JS代码 start (一个网页只需插入一次) -->
<script type="text/javascript">
/* * * CONFIGURATION VARIABLES * * */
var disqus_shortname = "{{site.disqus_username}}";
var disqus_identifier = "{{site.disqus_username}}/{{page.url}}";
var disqus_url = "{{site.url}}{{page.url}}";
(function() {
var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
dsq.src = '//' + disqus_shortname + '.disqus.com/embed.js';
(document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq);
})();
</script>
<!-- disqus 公共JS代码 end -->
{% endif %}