Libraries&Workflow for a modern geospatial processing(现代地理空间处理的库与工作流)

Libraries for a modern geospatial workflow现代地理空间工作的类库

Distribution

• Writing, Running, and Distributing（编写、运行和分发）
• Tox driven development
• Publishing python libraries

Numpy

• Introduction to Numpy
• Using Numpy Arrays
• Array Creation
• Creating and manipulating numerical data
• Multi-dimensional arrays
• Numpy tutorial I
• Numpy tutorial II
• An introduction to Numpy and Scipy
• Image processing with Numpy and Scipy
• Raster calculations with numpy.where
• Efficient computing with Numpy - Video
• Efficient computing with Numpy - Notebook
• Neural Networks (lots of Numpy)

Rasterio

• Getting shapes of raster features
• Warping images
• Masking rasterio layers with vector features
• Rasterio tutorial
• Calculating NDVI I
• Calculating NDVI II
• Rasterio cheat sheet

Fiona:link

Xray

• Introducing xray (video)

Pandas

Geopandas

python-raster-stats

pyimpute

Workflows

Processing satellite imagery

• Analyzing Satellite Images with Python
  • Interacting with bands
  • Color processing
  • Panchromatic sharpening
  • NDVI

Machine Learning

• Materials for Machine Learning
• Introductory playlist

Scikit-learn

• PyCon 2015 Scikit-learn tutorial
  • Repo
  • Video
• Machine learning for Astronomy with Scikit-learn

Scikit-image

• Using Scikit-image
• Image processing with Scikit-image

Python must-watch

https://gist.github.com/jacquestardie/0d1c0cb413b3b9b06edf