我目前能够找到的只有像Python Geo-Spatial Devlopment[1]这样有一定年龄的教学书籍，和零散的技术文章[2]。可是具体该怎么系统学习应用完全没方向，求教。例如mapfish[3]，看了一下介绍就觉得很牛逼，可是不会用。。。
[1]Python Geo-Spatial Development (豆瓣)
[2]W-06: Solid Web Mapping with Python
[3]MapFish — MapFish
回复内容：
GIS 和 python 的结合有很多种可能性- Arcpy 参考ArcPy and ArcGIS (豆瓣), pyQGIS 参考PyQGIS Developer Cookbook
- Geopython GIS相关库
- GDAL 参考 Welcome to the Python GDAL/OGR Cookbook!
- 各种空间数据库，如 spatialite 参考 SpatiaLite Cookbook
基础库（抽象库）
- GDAL 不多说，GIS万物本源
- Proj.4 制图学投影转换库
- geojson geojson数据处理，点线面
高级库
- Shapley GIS的图像处理
- Fiona GIS数据读入写出
- Rtree Rtree空间索引
- pyproj Proj.4的接口扩展
- OWSLib WMS地图服务发放
- basemap 画地图
超高级库
- geopandas 整合了pandas,shapely,fiona,descartes,pyproj和rtrees可以直接用于数据处理
- geodjango django出品，保护GDAL,GEOS等可以发送地图服务
而如今，javascript在互联网的地位也变得越来越重要，GIS+JS的项目也氤氲而生，所以问题来了。参考：有哪些GIS+JavaScript（node.js）的开发经验值得分享？ - Node.js
或者关注我的博客，写得不是很好，希望各路大神多多留言指导。
Awesome GIS（GIS Tech Stack技术栈）
语言Geomatics专栏点此：Geomatics（GIS，GPS，RS，Surveying）
-
Python 最好的快速开发语言，是一门API艺术
- awesome-python
- 1简单的入门
- 2总结入门坑及基础资源
- 3Geopython GIS相关库
- 4Python的常用库入门
- 5Flask框架
- 6入门爬虫坑--网页数据压缩(python deflate gzip)
- 7Requests爬虫技巧
-
Node.js 最炙手可热的网络技术源泉，可用于WebGIS
- awesome-javascript
- 1常用Global库
- 2入门及GeoNode.js GIS相关库
- Leaflet 兼容移动端，和现代的一些框架一样优先考虑移动端
- 1leaflet入门
- 2简单插件编写leaflet-pip-v2
- 3进阶插件编写geojsonFilter
- Mapbox总有人讨论“Mapbox VS Leaflet？”这是个烂问题，Mapbox是Leaflet的超集，就像Typescript和Javascript之间的关系一样
- Openlayer3扯淡大叔教程
- Turf js层面做出简单的空间分析
- Geoserver 基于Java的地理信息服务的发布，使用简单
- Mapserver 基于C语言的地理信息服务的发布，内存占用小
- GDAL 数据格式转换
- 1GDAL命令行入门
- 2python for GDAL
- 3gdal CLI Cheat Sheet
- GeoJSON 开源地理信息JSON格式
- awesome-geojson
- geojson-js-utils 空间数据简单处理js实现
- geojson-python-utils空间数据简单处理python实现
- TopoJSON 开源地理信息JSON格式，大小要比GeoJSON小40%
- TileJSON 瓦片数据包装的JSON格式，用的不多
- WKT&WKB 文本标记语言表示矢量数据
- WKT&WKB 笔记一：格式介绍
- Spatialite 空间数据的查询等处理，小项目足矣
- 1简单的入门
- 2CLI Cheat Sheet
- 3python for Spatialite
- 4NET平台使用spatilite扩展
- 5Spatiliate2GeoJson数据的转换
- Postgresql 大型空间数据项目
- MBTILES 承载瓦片的数据，快速索引
- 1入门与简单应用
- Global Mapper 专门用作已有栅格图像切片
- Mapnik 专门用于矢量数据的切片
- TileMill 在矢量数据渲染时，运用CartoCSS对矢量数据赋予样式
- QGIS 开源GIS数据处理桌面软件，其中包含Grass，SAGA两个学术界开源GIS平台
- 1简单的介绍
- 2地图综合
- Mapsharper 数据综合神器
- 1地图综合神器
- 地理空间数据云 没想到数据来的这么快
- 1网页端JS的缓存问题
- 2Angular遇到的一些坑
- 3SpatialiteSharp的使用坑
整个技术栈主要针对的是轻量或者小项目去考虑，运用一些流行的尽可能开源的工具去做，这是我的一些想法和笔记，详情参考从mapbox的开源工具看Web GIS的发展，希望能给您一点点帮助。PS：我在github上看到一个awesome gis，并非我主导的，希望各位GISer可以一起参与修改。
转载，请表明出处。总目录Awesome GIS
python之于GIS与python之于IT类似GISer采用python的原因也在于“人生苦短，我用python”
python在gis中的应用非常之广
1. desktop GIS：
ArcGIS从版本10开始不再支持原来的VBA，而改用python
QGIS本身大部分的代码特别是插件部分可以采用python进行开发
2. 地图引擎
mapnik—基于C++引擎的顶级地图引擎库，和python结合比较紧密
mapfish—支持部分专题地图在线制作
3. webgis
python+geodjango 是最常用也最庞大的后台框架
GISer使用python一定要充分发挥python语言的特性
如ArcGIS集成phthon是利用了python的脚本语言特性
后台webgis等服务，可以发挥python作为语言黏合剂的特性，充分利用已有的GIS算法库 1、如果之前没有接触过Python但有一定的编程基础，极力推荐 深入 Python 3 这本书，对比《Python基础教程》的基础全面，这本书更加简洁、实用、上手快。
2、Python与ArcGIS结合，推荐《Programming ArcGIS 10.1 with Python Cookbook》（英文版）这本书，主要使用简短的Python脚本批处理ArcGIS文件，实用、上手快。
附图：
请问您自己有看过这本书吗？书中除了代码外，用于操作的数据是该书的作者自己准备的吧？需要去买是吗？比较着急，希望能给于回复哈
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