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Title: GitHub - bf2363/DataScienceStudyNotes: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容 · GitHub

Open Graph Title: GitHub - bf2363/DataScienceStudyNotes: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

X Title: GitHub - bf2363/DataScienceStudyNotes: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

Description: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容. Contribute to bf2363/DataScienceStudyNotes development by creating an account on GitHub.

Open Graph Description: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容. Contribute to bf2363/DataScienceStudyNotes development by creating an account on GitHub.

X Description: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容. Contribute to bf2363/DataScienceStudyNotes development by creating an account on GitHub.

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fefferypzy@gmail.com

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【Python+Dash快速web应用开发】系列文章	https://github.com/bf2363/DataScienceStudyNotes/tree/master/%E3%80%90Python%2BDash%E5%BF%AB%E9%80%9Fweb%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E3%80%91%E7%B3%BB%E5%88%97%E6%96%87%E7%AB%A0
【Python+Dash快速web应用开发】系列文章	https://github.com/bf2363/DataScienceStudyNotes/tree/master/%E3%80%90Python%2BDash%E5%BF%AB%E9%80%9Fweb%E5%BA%94%E7%94%A8%E5%BC%80%E5%8F%91%E3%80%91%E7%B3%BB%E5%88%97%E6%96%87%E7%AB%A0
历史文章附件列表	https://github.com/bf2363/DataScienceStudyNotes/tree/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8
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README	https://github.com/bf2363/DataScienceStudyNotes
	https://github.com/bf2363/DataScienceStudyNotes#memo-datasciencestudynotes
https://www.cnblogs.com/feffery/	https://www.cnblogs.com/feffery/
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1 已更新博客列表	https://github.com/bf2363/DataScienceStudyNotes#first
2 专题系列	https://github.com/bf2363/DataScienceStudyNotes#second
2.1 基于geopandas的空间数据分析 🏊 <持续更新中>	https://github.com/bf2363/DataScienceStudyNotes#second-geopandas
2.2 Python+Dash快速web应用开发 🚩 <完结>	https://github.com/bf2363/DataScienceStudyNotes#second-dash
3 pandas相关	https://github.com/bf2363/DataScienceStudyNotes#pandas
4 jupyter相关	https://github.com/bf2363/DataScienceStudyNotes#jupyter
5 kepler.gl相关	https://github.com/bf2363/DataScienceStudyNotes#keplergl
	https://github.com/bf2363/DataScienceStudyNotes#1-books-已更新博客列表
（数据科学学习手札69）详解pandas中的map、apply、applymap、groupby、agg	https://www.cnblogs.com/feffery/p/11468762.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD69%EF%BC%89%E8%AF%A6%E8%A7%A3pandas%E4%B8%AD%E7%9A%84map%E3%80%81apply%E3%80%81applymap%E3%80%81groupby%E3%80%81agg
（数据科学学习手札70）面向数据科学的Python多进程简介及应用	https://www.cnblogs.com/feffery/p/11621076.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD70%EF%BC%89%E9%9D%A2%E5%90%91%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E7%9A%84Python%E5%A4%9A%E8%BF%9B%E7%A8%8B%E7%AE%80%E4%BB%8B%E5%8F%8A%E5%BA%94%E7%94%A8
（数据科学学习手札71）利用Python绘制词云图	https://www.cnblogs.com/feffery/p/11842798.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD71%EF%BC%89%E5%9C%A8Python%E4%B8%AD%E5%88%B6%E4%BD%9C%E4%B8%AA%E6%80%A7%E5%8C%96%E8%AF%8D%E4%BA%91%E5%9B%BE
（数据科学学习手札72）用pdpipe搭建pandas数据分析流水线	https://www.cnblogs.com/feffery/p/12179647.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD72%EF%BC%89%E7%94%A8pdpipe%E6%90%AD%E5%BB%BApandas%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E6%B5%81%E6%B0%B4%E7%BA%BF
（数据科学学习手札73）盘点pandas 1.0.0中的新特性	https://www.cnblogs.com/feffery/p/12214635.html
仓库路径	https://github.com/CNFeffery/DataScienceStudyNotes/tree/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD73%EF%BC%89%E7%9B%98%E7%82%B9pandas%201.0.0%E4%B8%AD%E7%9A%84%E6%96%B0%E7%89%B9%E6%80%A7
（数据科学学习手札74）基于geopandas的空间数据分析——数据结构篇	https://www.cnblogs.com/feffery/p/11898190.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD74%EF%BC%89%E5%9F%BA%E4%BA%8Egeopandas%E7%9A%84%E7%A9%BA%E9%97%B4%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E2%80%94%E2%80%94%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84%E7%AF%87
（数据科学学习手札75）基于geopandas的空间数据分析——坐标参考系篇	https://www.cnblogs.com/feffery/p/12285828.html
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（数据科学学习手札76）基于Python的拐点检测——以新冠肺炎疫情数据为例	https://www.cnblogs.com/feffery/p/12325741.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD76%EF%BC%89%E5%9F%BA%E4%BA%8EPython%E7%9A%84%E6%8B%90%E7%82%B9%E6%A3%80%E6%B5%8B%E2%80%94%E2%80%94%E4%BB%A5%E6%96%B0%E5%86%A0%E8%82%BA%E7%82%8E%E7%96%AB%E6%83%85%E6%95%B0%E6%8D%AE%E4%B8%BA%E4%BE%8B
（数据科学学习手札77）基于geopandas的空间数据分析——文件IO	https://www.cnblogs.com/feffery/p/12301966.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD77%EF%BC%89%E5%9F%BA%E4%BA%8Egeopandas%E7%9A%84%E7%A9%BA%E9%97%B4%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E2%80%94%E2%80%94%E6%96%87%E4%BB%B6IO
（数据科学学习手札78）基于geopandas的空间数据分析——基础可视化	https://www.cnblogs.com/feffery/p/12361421.html
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（数据科学学习手札79）基于geopandas的空间数据分析——深入浅出分层设色	https://www.cnblogs.com/feffery/p/12381322.html
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（数据科学学习手札82）基于geopandas的空间数据分析——geoplot篇(上)	https://www.cnblogs.com/feffery/p/12779150.html
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（数据科学学习手札84）基于geopandas的空间数据分析——空间计算篇（上）	https://www.cnblogs.com/feffery/p/12909284.html
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（数据科学学习手札85）Python+Kepler.gl轻松制作酷炫路径动画	https://www.cnblogs.com/feffery/p/12987968.html
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（数据科学学习手札86）全平台支持的pandas运算加速神器	https://www.cnblogs.com/feffery/p/13049547.html
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（数据科学学习手札87）利用adjustText解决matplotlib文字标签遮挡问题	https://www.cnblogs.com/feffery/p/13072364.html
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（数据科学学习手札88）基于geopandas的空间数据分析——空间计算篇（下）	https://www.cnblogs.com/feffery/p/13129271.html
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（数据科学学习手札89）geopandas&geoplot近期重要更新	https://www.cnblogs.com/feffery/p/13233271.html
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（数据科学学习手札90）Python+Kepler.gl轻松制作时间轮播地图	https://www.cnblogs.com/feffery/p/13322067.html
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（数据科学学习手札91）在Python中妥善使用进度条	https://www.cnblogs.com/feffery/p/13392024.html
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（数据科学学习手札92）利用query()与eval()优化pandas代码	https://www.cnblogs.com/feffery/p/13440148.html
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（数据科学学习手札93）利用geopandas与PostGIS进行交互	https://www.cnblogs.com/feffery/p/13468203.html
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（数据科学学习手札94）QGIS+Conda+jupyter玩转Python GIS	https://www.cnblogs.com/feffery/p/13558608.html
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（数据科学学习手札95）elyra——jupyter lab平台最强插件集	https://www.cnblogs.com/feffery/p/13692800.html
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（数据科学学习手札96）在geopandas中叠加在线地图	https://www.cnblogs.com/feffery/p/13763601.html
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（数据科学学习手札98）纯Python绘制满满艺术感的山脊地图	https://www.cnblogs.com/feffery/p/13977871.html
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（数据科学学习手札100）搞定matplotlib中的字体设置	https://www.cnblogs.com/feffery/p/14122415.html
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（数据科学学习手札101）funcy：Python中的函数式编程百宝箱	https://www.cnblogs.com/feffery/p/14208030.html
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（数据科学学习手札102）Python+Dash快速web应用开发——基础概念篇	https://www.cnblogs.com/feffery/p/14258438.html
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（数据科学学习手札103）Python+Dash快速web应用开发——页面布局篇	https://www.cnblogs.com/feffery/p/14276803.html
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（数据科学学习手札104）Python+Dash快速web应用开发——回调交互篇（上）	https://www.cnblogs.com/feffery/p/14313103.html
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（数据科学学习手札105）Python+Dash快速web应用开发——回调交互篇（中）	https://www.cnblogs.com/feffery/p/14349206.html
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（数据科学学习手札106）Python+Dash快速web应用开发——回调交互篇（下）	https://www.cnblogs.com/feffery/p/14386458.html
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（数据科学学习手札107）在Python中利用funct实现链式风格编程	https://www.cnblogs.com/feffery/p/14400938.html
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（数据科学学习手札111）geopandas 0.9.0重要新特性一览	https://www.cnblogs.com/feffery/p/14519824.html
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（数据科学学习手札114）Python+Dash快速web应用开发——上传下载篇	https://www.cnblogs.com/feffery/p/14580950.html
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（数据科学学习手札118）Python+Dash快速web应用开发——特殊部件篇	https://www.cnblogs.com/feffery/p/14687893.html
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（数据科学学习手札119）Python+Dash快速web应用开发——多页面应用	https://www.cnblogs.com/feffery/p/14724140.html
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（数据科学学习手札120）Python+Dash快速web应用开发——整合数据库	https://www.cnblogs.com/feffery/p/14748675.html
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（数据科学学习手札123）Python+Dash快速web应用开发——部署发布篇	https://www.cnblogs.com/feffery/p/14826195.html
（数据科学学习手札124）pandas 1.3版本主要更新内容一览	https://www.cnblogs.com/feffery/p/14993399.html
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（数据科学学习手札125）在Python中操纵json数据的最佳方式	https://www.cnblogs.com/feffery/p/15087235.html
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（数据科学学习手札126）Python中JSON结构数据的高效增删改操作	https://www.cnblogs.com/feffery/p/15115785.html
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（数据科学学习手札127）在Python中使用icecream实现高效debug	https://www.cnblogs.com/feffery/p/15181212.html
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（数据科学学习手札128）在matplotlib中添加富文本的最佳方式	https://www.cnblogs.com/feffery/p/15331473.html
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（数据科学学习手札129）geopandas 0.10版本重要新特性一览	https://www.cnblogs.com/feffery/p/15472342.html
仓库路径	https://github.com/CNFeffery/DataScienceStudyNotes/tree/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD129%EF%BC%89geopandas%200.10%E7%89%88%E6%9C%AC%E9%87%8D%E8%A6%81%E6%96%B0%E7%89%B9%E6%80%A7%E4%B8%80%E8%A7%88
（数据科学学习手札130）利用geopandas快捷绘制在线地图	https://www.cnblogs.com/feffery/p/15530464.html
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（数据科学学习手札131）pandas中的常用字符串处理方法总结	https://www.cnblogs.com/feffery/p/15584726.html
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（数据科学学习手札132）Python+Fabric实现远程服务器连接	https://www.cnblogs.com/feffery/p/15646508.html
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（数据科学学习手札133）利用geopandas绘制拓扑着色地图	https://www.cnblogs.com/feffery/p/15738273.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD133%EF%BC%89%E5%88%A9%E7%94%A8geopandas%E7%BB%98%E5%88%B6%E6%8B%93%E6%89%91%E7%9D%80%E8%89%B2%E5%9C%B0%E5%9B%BE
（数据科学学习手札134）pyjanitor：为pandas补充更多功能	https://www.cnblogs.com/feffery/p/15998079.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD134%EF%BC%89pyjanitor%EF%BC%9A%E4%B8%BApandas%E8%A1%A5%E5%85%85%E6%9B%B4%E5%A4%9A%E5%8A%9F%E8%83%BD
（数据科学学习手札135）tenacity：Python中最强大的错误重试库	https://www.cnblogs.com/feffery/p/16056079.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD135%EF%BC%89tenacity%EF%BC%9APython%E4%B8%AD%E6%9C%80%E5%BC%BA%E5%A4%A7%E7%9A%84%E9%94%99%E8%AF%AF%E9%87%8D%E8%AF%95%E5%BA%93
（数据科学学习手札136）Python中基于joblib实现极简并行计算加速	https://www.cnblogs.com/feffery/p/16271159.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD136%EF%BC%89Python%E4%B8%AD%E5%9F%BA%E4%BA%8Ejoblib%E5%AE%9E%E7%8E%B0%E6%9E%81%E7%AE%80%E5%B9%B6%E8%A1%8C%E8%AE%A1%E7%AE%97%E5%8A%A0%E9%80%9F
（数据科学学习手札137）orjson：Python中最好用的json库	https://www.cnblogs.com/feffery/p/16344712.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD137%EF%BC%89orjson%EF%BC%9APython%E4%B8%AD%E6%9C%80%E5%A5%BD%E7%94%A8%E7%9A%84json%E5%BA%93
（数据科学学习手札138）使用sklearnex大幅加速scikit-learn运算	https://www.cnblogs.com/feffery/p/16387854.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD138%EF%BC%89%E4%BD%BF%E7%94%A8sklearnex%E5%A4%A7%E5%B9%85%E5%8A%A0%E9%80%9Fscikit-learn%E8%BF%90%E7%AE%97
（数据科学学习手札139）geopandas 0.11版本重要新特性一览	https://www.cnblogs.com/feffery/p/16410796.html
仓库路径	https://github.com/CNFeffery/DataScienceStudyNotes/tree/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD139%EF%BC%89geopandas%200.11%E7%89%88%E6%9C%AC%E9%87%8D%E8%A6%81%E6%96%B0%E7%89%B9%E6%80%A7%E4%B8%80%E8%A7%88
（数据科学学习手札140）详解geopandas中基于pyogrio的矢量读写引擎	https://www.cnblogs.com/feffery/p/16459024.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD140%EF%BC%89%E8%AF%A6%E8%A7%A3geopandas%E4%B8%AD%E5%9F%BA%E4%BA%8Epyogrio%E7%9A%84%E7%9F%A2%E9%87%8F%E8%AF%BB%E5%86%99%E5%BC%95%E6%93%8E
（数据科学学习手札141）利用Learn Git Branching轻松学习git常用操作	https://www.cnblogs.com/feffery/p/16689961.html
（数据科学学习手札142）dill：Python中增强版的pickle	https://www.cnblogs.com/feffery/p/16703398.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD142%EF%BC%89dill%EF%BC%9APython%E4%B8%AD%E5%A2%9E%E5%BC%BA%E7%89%88%E7%9A%84pickle
（数据科学学习手札143）为geopandas添加gdb文件写出功能	https://www.cnblogs.com/feffery/p/16711477.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD143%EF%BC%89%E4%B8%BAgeopandas%E6%B7%BB%E5%8A%A0gdb%E6%96%87%E4%BB%B6%E5%86%99%E5%87%BA%E5%8A%9F%E8%83%BD
（数据科学学习手札144）使用管道操作符高效书写Python代码	https://www.cnblogs.com/feffery/p/16794858.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD144%EF%BC%89%E4%BD%BF%E7%94%A8%E7%AE%A1%E9%81%93%E6%93%8D%E4%BD%9C%E7%AC%A6%E9%AB%98%E6%95%88%E4%B9%A6%E5%86%99Python%E4%BB%A3%E7%A0%81
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仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD145%EF%BC%89%E5%9C%A8Python%E4%B8%AD%E5%88%A9%E7%94%A8yarl%E8%BD%BB%E6%9D%BE%E6%93%8D%E4%BD%9Curl
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仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD146%EF%BC%89geopandas%E4%B8%AD%E6%8B%93%E6%89%91%E9%9D%9E%E6%B3%95%E9%97%AE%E9%A2%98%E7%9A%84%E5%8F%91%E7%8E%B0%E3%80%81%E8%AF%8A%E6%96%AD%E4%B8%8E%E4%BF%AE%E5%A4%8D
（数据科学学习手札147）Python GIS利器shapely全新2.0版本一览	https://www.cnblogs.com/feffery/p/16989398.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD147%EF%BC%89Python%20GIS%E5%88%A9%E5%99%A8shapely%E5%85%A8%E6%96%B02.0%E7%89%88%E6%9C%AC%E4%B8%80%E8%A7%88
（数据科学学习手札148）geopandas直接支持gdb文件写出与追加	https://www.cnblogs.com/feffery/p/17025278.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD148%EF%BC%89geopandas%E7%9B%B4%E6%8E%A5%E6%94%AF%E6%8C%81gdb%E6%96%87%E4%BB%B6%E5%86%99%E5%87%BA%E4%B8%8E%E8%BF%BD%E5%8A%A0
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仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD149%EF%BC%89%E7%94%A8matplotlib%E8%BD%BB%E6%9D%BE%E7%BB%98%E5%88%B6%E6%BC%82%E4%BA%AE%E7%9A%84%E8%A1%A8%E6%A0%BC
（数据科学学习手札150）基于dask对geopandas进行并行加速	https://www.cnblogs.com/feffery/p/17231708.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD150%EF%BC%89%E5%9F%BA%E4%BA%8Edask%E5%AF%B9geopandas%E8%BF%9B%E8%A1%8C%E5%B9%B6%E8%A1%8C%E5%8A%A0%E9%80%9F
（数据科学学习手札151）速通pandas2.0新版本干货内容	https://www.cnblogs.com/feffery/p/17290646.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD151%EF%BC%89%E9%80%9F%E9%80%9Apandas2.0%E6%96%B0%E7%89%88%E6%9C%AC%E5%B9%B2%E8%B4%A7%E5%86%85%E5%AE%B9
（数据科学学习手札152）geopandas0.13版本更新内容一览	https://www.cnblogs.com/feffery/p/17379888.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD152%EF%BC%89geopandas0.13%E7%89%88%E6%9C%AC%E6%9B%B4%E6%96%B0%E5%86%85%E5%AE%B9%E4%B8%80%E8%A7%88
（数据科学学习手札153）基于martin的高性能矢量切片地图服务构建	https://www.cnblogs.com/feffery/p/17581158.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD153%EF%BC%89%E5%9F%BA%E4%BA%8Emartin%E7%9A%84%E9%AB%98%E6%80%A7%E8%83%BD%E7%9F%A2%E9%87%8F%E5%88%87%E7%89%87%E5%9C%B0%E5%9B%BE%E6%9C%8D%E5%8A%A1%E6%9E%84%E5%BB%BA
（数据科学学习手札154）geopandas0.14版本新特性一览	https://www.cnblogs.com/feffery/p/17709443.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD154%EF%BC%89geopandas0.14%E7%89%88%E6%9C%AC%E6%96%B0%E7%89%B9%E6%80%A7%E4%B8%80%E8%A7%88
（数据科学学习手札155）基于martin为在线地图构建字体切片服务	https://www.cnblogs.com/feffery/p/17846899.html
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD155%EF%BC%89%E5%9F%BA%E4%BA%8Emartin%E4%B8%BA%E5%9C%A8%E7%BA%BF%E5%9C%B0%E5%9B%BE%E6%9E%84%E5%BB%BA%E5%AD%97%E4%BD%93%E5%88%87%E7%89%87%E6%9C%8D%E5%8A%A1
（数据科学学习手札156）地图可视化神器kepler.gl 3.0版本发布	https://www.cnblogs.com/feffery/p/17932811.html
（数据科学学习手札157）pandas新增case_when方法	https://www.cnblogs.com/feffery/p/17991230
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD157%EF%BC%89pandas%E6%96%B0%E5%A2%9Ecase_when%E6%96%B9%E6%B3%95
（数据科学学习手札158）基于martin为在线地图快速构建精灵图服务	https://www.cnblogs.com/feffery/p/18003548
仓库路径	https://github.com/bf2363/DataScienceStudyNotes/blob/master/%E5%8E%86%E5%8F%B2%E6%96%87%E7%AB%A0%E9%99%84%E4%BB%B6%E5%88%97%E8%A1%A8/%EF%BC%88%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AD%A6%E4%B9%A0%E6%89%8B%E6%9C%AD158%EF%BC%89%E5%9F%BA%E4%BA%8Emartin%E4%B8%BA%E5%9C%A8%E7%BA%BF%E5%9C%B0%E5%9B%BE%E5%BF%AB%E9%80%9F%E6%9E%84%E5%BB%BA%E7%B2%BE%E7%81%B5%E5%9B%BE%E6%9C%8D%E5%8A%A1
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课程附件百度云下载地址	https://pan.baidu.com/s/1czvOSQLoxnwbW-sACuASYQ
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（数据科学学习手札74）基于geopandas的空间数据分析——数据结构篇	https://www.cnblogs.com/feffery/p/11898190.html
（数据科学学习手札75）基于geopandas的空间数据分析——坐标参考系篇	https://www.cnblogs.com/feffery/p/12285828.html
（数据科学学习手札77）基于geopandas的空间数据分析——文件IO	https://www.cnblogs.com/feffery/p/12301966.html
（数据科学学习手札78）基于geopandas的空间数据分析——基础可视化	https://www.cnblogs.com/feffery/p/12361421.html
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（数据科学学习手札82）基于geopandas的空间数据分析——geoplot篇(上)	https://www.cnblogs.com/feffery/p/12779150.html
（数据科学学习手札83）基于geopandas的空间数据分析——geoplot篇(下)	https://www.cnblogs.com/feffery/p/12901334.html
（数据科学学习手札84）基于geopandas的空间数据分析——空间计算篇（上）	https://www.cnblogs.com/feffery/p/12909284.html
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（数据科学学习手札89）geopandas&geoplot近期重要更新	https://www.cnblogs.com/feffery/p/13233271.html
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