MeU教材归纳
第一部分,python基础:
- LearningPython.ppt:python介绍、数据类型、程序结构、函数、函数库
- Learning Python-字典&文件.ppt:字典类型和文件类型入门
- 复习及小测.ppt:python入门后的实战小练习
- Python小组1计划&2文件字典.ppt:python文本挖掘项目介绍及文件字典实例
- 小应用合计:课上讲到的python实际应用,txt转csv、合并csv文件、批量修改文件名等
资料下载链接:https://pan.baidu.com/s/1fixJ-o2-6Uwm5OCb2AO91w 密码:qdyv
第二部分,python文本数据处理:
pandas库入门
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/pandas_rumen/Pandas_rumen.ipynb
美国总统竞选赞助数据分析:
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/pandas_shizhan/2012ZongTongDaXuan.ipynb
美国总统竞选赞助数据分析(修订版,被里云-天池AI学习官方推荐课程采纳):https://tianchi.aliyun.com/notebook/detail.html?spm=5176.11510288.0.0.4215b7bdL5sDs6&id=10585
文本处理:
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/pandas_text_process/string-processing.ipynb
正则表达式:
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/pandas_text_process/regular%20expression.ipynb
文本处理课堂小测答案:
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/pandas_text_process/answer.ipynb
第三部分,python文本挖掘:
项目地址:https://github.com/py-bin/text_mining
第四部分,利用python进行数据分析:
(以日报场景数据为例)
矩阵数据处理及运算
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/data_analysis/data_analysis_1.ipynb
数据拼接、多层索引、分组运算
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/data_analysis/data_analysis_2.ipynb
数据可视化(matplotlib库)入门
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/data_analysis/data_analysis_3.ipynb
kaggle共享单车数据可视化分析
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/data_analysis/bike.ipynb
时间序列(time series)一
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/data_analysis/Time%20Series.ipynb
时间序列(time series)二
http://nbviewer.jupyter.org/github/py-bin/ipynb_share/blob/master/data_analysis/Time%20Series%20Basics.ipynb