Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
Data cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).
Slide and notebook used for my talk on vaex at the Pandas summit 2019 @ Lodnon
Fork of Python4Delphi for Lazarus, supports Windows/Linux/macOS/*BSD/Solaris
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Jupyter notebook leveraging cartoframes, geopandas, and sqlalchemy libraries to analyze cannabis consumer population at the regional level.
Visualization project with use of GeoPandas and Bokeh libraries. The aim is to show map of french communes where avalanche accidents occured the most often in last 10 years.
KC housing data /sklearn/pandas/numpy/matplotlib/seaborn/geopanda/uszipcode
Brief application of geopandas, gdal and other packages to create a shapefile with contour curves from coarse DEM
