LMXB / python_class

This repository contains all the scripts used for the python class for JRFs at IITM

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python_class

This repository contains all the scripts used for the python class for JRFs at IITM

Some of the tutorials to follow

  1. http://pure.iiasa.ac.at/id/eprint/14952/1/xarray-tutorial-egu2017-answers.pdf
  2. https://rabernat.github.io/research_computing/xarray.html
  3. Ocean Data Analysis https://currents.soest.hawaii.edu/ocn_data_analysis/exercise_data.html#id1
  4. Parallelization http://xarray.pydata.org/en/stable/dask.html
  5. Satellite Data Analyis https://github.com/nansencenter/nansat-lectures
  6. https://github.com/NCAR/CESM_postprocessing CESM Postprocessing
  7. https://github.com/NCAR/PyCect This repo is used to compare the results of a set of new CAM simulations against the accepted ensemble
  8. https://github.com/nichannah/ocean-regrid Regrid ocean reanalysis data from normal to tripolar grids
  9. https://github.com/jswhit/gfstonc Read GFS sigma and sfc files in python
  10. f2py
  11. Pandas
  12. https://github.com/tmiyachi/data2gfs Make python version of this using f2py
  13. Shallow water equation model using pyspharm https://github.com/jswhit/pyspharm and https://www.aosc.umd.edu/~dkleist/docs/shtns/doc/html/shallow_water_8py-example.html explaining the code
  14. Scientific Computing Lectures https://github.com/jrjohansson/scientific-python-lectures
  15. Geopandas satellite data analysis https://towardsdatascience.com/satellite-imagery-access-and-analysis-in-python-jupyter-notebooks-387971ece84b
  16. Rasterio https://medium.com/analytics-vidhya/satellite-imagery-analysis-with-python-3f8ccf8a7c32
  17. Eo-learn https://medium.com/dataseries/satellite-imagery-analysis-with-python-ii-8001e5c41a52
  18. Satpy
  19. Use of Landsat and Sentinel datasets
  20. Pyunicorn
  21. Keras, tensorflow, pytorch, django, theano, scikit-learn, theano, bokeh, pandas, seaborn, bokeh, plotly, scrapy,
  22. Python tutorial https://carpentrieslab.github.io/python-aos-lesson/ plotting CMIP data - highlight
  23. Python for oceanography http://www.soest.hawaii.edu/oceanography/courses/OCN681/python.html
  24. Python tools for oceanography https://pyoceans.github.io/sea-py/
  25. Python Land Surface Modelling https://www.geosci-model-dev.net/12/2781/2019/
  26. Python hydrology tools https://github.com/raoulcollenteur/Python-Hydrology-Tools
  27. Docker
  28. Python and GIS https://automating-gis-processes.github.io/CSC18/lessons/L1/overview.html
  29. https://automating-gis-processes.github.io/2016/
  30. https://geohackweek.github.io/raster/
  31. https://github.com/pangeo-data/pangeo
  32. https://github.com/pangeo-data/awesome-open-climate-science
  33. https://uwescience.github.io/sat-image-analysis/resources.html
  34. Radar data analysis https://data.world/datasets/radar https://arm-doe.github.io/pyart/ https://docs.wradlib.org/
  35. https://www.earthdatascience.org/courses/use-data-open-source-python/multispectral-remote-sensing/landsat-in-Python/
  36. Deep Learning on Satellite Imagery https://github.com/robmarkcole/satellite-image-deep-learning
  37. Google Earth Engine https://sites.google.com/view/eeindia-advanced-summit/summit-resources
  38. https://geohackweek.github.io/GEE-Python-API/
  39. https://github.com/google/earthengine-api/tree/master/python/examples/ipynb
  40. http://www.jerico-ri.eu/download/summer%20school%20-%20the%20netherlands/Genna%20Donchyts%20-%20GEE%20Training.pdf
  41. https://www.earthdatascience.org/tutorials/intro-google-earth-engine-python-api/
  42. Installing Google Earth Engine and requesting access https://github.com/google/earthengine-api/issues/27
  43. https://github.com/giswqs/earthengine-py-notebooks
  44. Google Earth Engine image to numpy https://mygeoblog.com/2019/08/21/google-earth-engine-to-numpy/

Projects for the class

https://docs.google.com/spreadsheets/d/1m2ZIJ_To8IbE18Teb70a7BVZg0o29sOM6rlgFkE2b3E/edit#gid=0

https://docs.google.com/document/d/12h9bcIdBPJUFc_fJssJe8hVBzledq2Dtk5-9OpKHbfg/edit

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This repository contains all the scripts used for the python class for JRFs at IITM


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