python#
python
- Improving maps with Cartopy
- Python Plotting Basics
- Reading ENVI_MET files
- Subplots
- Xarray plot types
- Making a lat-lon reference plot
- Python Tuesday: NetCDF Python library overview
- netCDF4
- Merge arrays with missing data
- Using ARCCSSive to search CMIP5
- Speeding up access to large datasets with Dask Delayed
- Review of line plots with Xarray
- Line plot types
- A more advance example
- Basic usage of python logging module
- How to create NetCDF files
- Find the value of a variable at the times when another variable is maximum
- Using OPeNDAP to access data remotely: MUR example
- Per-gridpoint time correlation of two models
- How to animate 2D fields
- Wrapping gridded data around the globe
- Split Y Axis plots
- Basic event statistics
- Using xesmf to efficiently regrid data to another resolution
- Using Gadi’s software environment to build your applications
- Introducing the new hh5 conda environment
- Working with ARE notebooks in VS Code
- More efficent use of
xarray.open_mfdataset() - Using a shapefile to select a region and calculate statistics
- Introducing the
dask-optimisermodule - Using GNU Parallel in bash scripts to optimize python processes
- Getting Seasonal Means for the season December-January-February
- Speed up custom operations on large datasets with universal functions
- Python Perfomance Options
- Building custom python environments on top of
conda/analysis3